CN109255509B - Wind-fire bundling energy base alternating current-direct current delivery safety monitoring method and system - Google Patents
Wind-fire bundling energy base alternating current-direct current delivery safety monitoring method and system Download PDFInfo
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Abstract
The invention relates to a method and a system for monitoring safety of AC/DC delivery of a wind-fire bundling energy base, wherein the method comprises the following steps: constructing and determining a wind-fire bundling delivery operation monitoring value index and a safety index value according to wind-fire bundling delivery safety monitoring data, determining a wind-fire bundling delivery comprehensive evaluation coefficient according to a plurality of wind-fire bundling delivery safety index values, further determining a wind-fire bundling delivery real-time safety trend monitoring index according to the wind-fire bundling delivery comprehensive evaluation coefficient, and early warning according to the wind-fire bundling delivery multi-target real-time trend monitoring index; by adopting the technical scheme, the real-time safety change trend index of the alternating current and direct current delivery of the wind-fire bundling energy base is determined on line by butting the wind-fire bundling delivery measurement, prediction and scheduling plan data source, and real-time alarm is given according to the multi-target real-time trend monitoring index, so that the control capability of operators on the delivery scene running condition of the wind-fire bundling energy base is effectively improved, and the running stability of the power system is further improved.
Description
Technical Field
The invention relates to the field of safe operation and control of an electric power system, in particular to a method and a system for monitoring safety of alternating current and direct current delivery of a wind-fire bundling energy base.
Background
With the deep development of energy technology, large-scale wind power plants and large-capacity thermal power generating units are gradually built and put into operation in various large-scale energy bases, due to the uncertainty of wind power, it may result in random power shortages of millions of kilowatts, the method threatens the safe and stable operation of the power grid, integrates the resource advantages of coal and wind energy in core energy development areas at the present stage, bundles the wind power and nearby thermal power and sends the bundled wind power and the nearby thermal power out through the extra-high voltage direct current, can realize smooth output, keeps the power of a power transmission channel stable to meet the requirements of alternating current and direct current power transmission, meanwhile, the utilization rate of a power transmission channel is greatly improved, and the adoption of wind fire for bundling wind fire and delivering the bundled wind fire is an effective way for relieving the bottleneck of the large-scale wind power base market, but, the wind-fire bundling and outward conveying of the wind-fire bundling energy base also faces unprecedented operational risks due to the fact that a plurality of factors influencing operational stability are included in the process of wind-fire bundling and outward conveying of the wind-fire bundling;
therefore, it is urgently needed to provide a reasonable and stable wind-fire bundling and delivery safety monitoring method and system for the wind-fire bundling energy base, so that the monitoring capability of operators on the system stability level is fully achieved, and the control capability of the operators on the system stability level is improved.
In the aspect of feasibility, with the rapid development of a power grid simulation technology, a communication technology, a PMU (phasor measurement unit) wide-area measurement technology and the like, the foundation for establishing the wind-fire bundling and outward-delivery multi-target safety control system of the wind-fire bundling energy base is already provided.
Disclosure of Invention
The invention provides a method and a system for monitoring the safety of wind-fire bundling energy base delivery of alternating current and direct current, aiming at constructing and determining an operation monitoring value index, a safety index value, a comprehensive evaluation coefficient and a real-time change trend index of the wind-fire bundling energy base based on measurement, prediction and scheduling plan multi-source data, and further carrying out real-time alarm according to the real-time change trend index of multiple monitoring quantities.
The purpose of the invention is realized by adopting the following technical scheme:
the improvement of a safety monitoring method for AC/DC delivery of a wind-fire bundled energy base, which comprises the following steps:
determining an operation monitoring value index and a safety index value of the wind fire bundling outgoing according to the wind fire bundling outgoing safety monitoring data;
determining a wind-fire bundling delivery comprehensive evaluation coefficient according to the wind-fire bundling delivery safety index value;
determining a wind fire bundling delivery real-time safety trend monitoring index according to the wind fire bundling delivery safety index value and the comprehensive evaluation coefficient, and giving an alarm according to the wind fire bundling delivery operation monitoring value index or the real-time safety trend monitoring index;
wherein, wind fire is beaten and is beaten outward and send out safety monitoring data and obtain through wind fire bundle outward send multi-target data source, wind fire is beaten and is beaten outward and send multi-target data source and include: wind-fire bundling delivery measurement data source, wind-fire bundling delivery prediction data source and wind-fire bundling delivery scheduling plan data source.
Preferably, the wind fire bundling and outgoing measurement data source comprises: the method comprises the steps of obtaining power grid model data through a smart power grid scheduling technology support system, obtaining real-time operation condition data of a power grid through a state estimation function of network analysis application, obtaining PMU measurement data through a wide area measurement system, obtaining field fault information or disturbance information through a high-precision wave recorder and obtaining wind power plant fan real-time information through a wind power real-time monitoring system;
the wind fire bundling and delivery prediction data source comprises: short-term and ultra-short-term new energy power prediction information is obtained through a wind-solar combined prediction system;
wind fire bundling and outward delivery dispatch plan data source comprises: acquiring daily power generation plan data, maintenance plan data, mediation plan data and load prediction data of the water-gas-electric power plant through a water-gas-electric power generation plan system;
wherein, the real-time operation condition data comprises: the method comprises the following steps of (1) grid QS files, DAT load flow calculation files and SWI transient stability calculation data;
the PMU measurement data comprises: the method comprises the following steps of (1) converting substation bus voltage amplitude, phase angle, line active power, line reactive power, conventional power active and reactive power, generator end bus voltage and phase angle information;
the real-time information of the wind power plant fans comprises: and the outgoing line of the wind power plant sends out power information and interface bus voltage information.
Preferably, if the current wind-fire bundling outgoing safety index value of the wind-fire bundling energy base is determined, the data source for acquiring the wind-fire bundling outgoing safety monitoring data is a wind-fire bundling outgoing measurement data source;
and if the future wind-fire bundling outgoing safety index value of the wind-fire bundling energy base is determined, acquiring data sources of the wind-fire bundling outgoing safety monitoring data as a wind-fire bundling outgoing prediction data source and a scheduling plan data source.
Preferably, according to the wind fire bundling and outward sending safety monitoring data, determining the wind fire bundling and outward sending operation monitoring value index, including: determining a channel current power ratio index w1 according to the following formula:
in the formula (I), the compound is shown in the specification,
actually transmitting power value for the specified section; pmaxFor maximum transmission acceptance of power of a given section, l is the channel forming the section, NwThe number of channels forming a cross section; monitoring whether w1 is within an allowable operation range in real time, wherein w1 is more than w1max, and w1max belongs to (0.7, 0.9);
determining the wind power-to-statistical region output ratio index w2 according to the following formula:
w2＝(W1/W2)％
in the formula, W1For actual wind power output, W2And (4) counting all actual generated output in the region. Wherein the w2 operation range needs to be determined according to the actual power grid source grid coordination performance.
Preferably, the determining the value of the safety index of the wind fire bundling outgoing transport according to the data of the safety monitoring of the wind fire bundling outgoing transport includes: the line overload ratio index A is determined according to the following formula1：
Wherein, P is the number of the open set mode; mtThe number of overload circuits is the t-th cut-off mode;
determining the voltage out-of-limit ratio index A according to the following formula2：
Wherein, P is the number of the open set mode; b istThe t-th cut-off mode voltage out-of-limit number;
determining the maximum overload index A of the line according to the following formula3：
Where P is the number of grid modes with line overload in all on-off scans, Q is the number of overloaded lines in a single on-off mode, Lj(t) the overload depth of the kth line in the overload lines which are numbered from 1 to Q in the jth on-off mode is taken; wherein j is the power grid mode number with line overload in all the on-off scanning of 1-P; wherein 1-Q is the number of the overload line in a single cut-off mode;
determining a maximum out-of-limit depth index A of the voltage according to the following formula4：
Where P is the number of grid modes with voltage violations in all on-off scans, Q is the number of voltage violations in a single on-off mode, and Vj(t) taking the out-of-limit depth of the t-th bus in the out-of-limit voltage buses with the numbers of 1-Q in the j-th cut-off mode, wherein j represents the power grid mode number with voltage out-of-limit in 1-P all cut-off scanning; wherein 1-Q is the number of voltage limit points in a single on-off mode;
determining the power angle instability statistical index B according to the following formula1：
Wherein S is the number of fault sets, TiCounting the number of power angle instability under the ith fault set;
the voltage instability statistical index B is determined according to the following formula2：
Wherein S is the number of fault sets, ViCounting the number of voltage instability under the ith fault set;
the frequency instability statistical indicator B is determined according to the following formula3：
Wherein S is the number of fault sets, fiCounting the number of frequency instability under the ith fault set;
determining a dynamic instability statistical indicator B according to the following formula4：
Wherein S is the number of fault sets, SiAnd counting the number of the dynamic instability under the ith fault set.
Preferably, the determining the wind fire bundling delivery comprehensive evaluation coefficient according to the wind fire bundling delivery safety index value includes:
determining the evaluation coefficient A of the static robustness of the wind-fire bundled outgoing power grid according to the following formulax：
Ax＝a1A1+a2A2+a3A3+a4A4
In the formula, A1As a line overload condition ratio index, A2Is an out-of-limit voltage ratio index, A3As an indication of the maximum overload of the line, A4Is an index of maximum out-of-limit depth of voltage, a1Weight of the line overload ratio index, a2Is the weight of the voltage out-of-limit ratio indicator, a3Weight of the maximum overload indicator of the line, a4Is the weight of the voltage maximum out-of-limit depth index, wherein, a1+a2+a3+a4＝1；
Determining an evaluation coefficient B of wind-fire bundling delivery fault instability rate according to the following formulax：
Bx＝b1B1+b2B2+b3B3+b4B4
In the formula, B1As a statistical indicator of power angle instability, B2As a statistical indicator of voltage instability, B3As a statistical indicator of frequency instability, B4As a statistical indicator of dynamic instability, b1Weight of the power angle instability statistical indicator, b2Is the weight of the voltage instability statistical indicator, b3Is the weight of the frequency instability statistical indicator, b4Is the weight of the dynamic instability statistical index, wherein b1+b2+b3+b4＝1。
Preferably, the determining of the real-time safety trend monitoring index of the wind fire bundling delivery according to the wind fire bundling delivery comprehensive evaluation coefficient includes:
determining a wind-fire bundling delivery real-time safety trend monitoring index lambda according to the following formula:
where c is the selected data window size, Δ t is the sampling interval for the calculated data, n0As an index to the first data point in the data window, y (n)0Δ t) is at data point n0The time derivative of index distribution or coefficient distribution on delta t, and y is an evaluation coefficient A of the static robustness of the power grid in the comprehensive evaluation coefficient of wind-fire bundling and outward deliveryxOr fault instability rate evaluation coefficient B in wind-fire bundling and outward conveying comprehensive evaluation coefficientx。
Preferably, the bundling and delivery real-time trend monitoring index according to wind fire carries out early warning, including:
judging whether the current power ratio index of the channel in the operation monitoring value index exceeds a preset first operation range, and if so, giving an alarm or giving an early warning; if not, re-determining the wind-fire bundling delivery operation monitoring value index and the wind-fire bundling delivery real-time safety trend monitoring index, and giving an alarm according to the wind-fire bundling delivery operation monitoring value index or the real-time safety trend monitoring index;
judging whether the output ratio index of the wind power in the statistical region in the operation monitoring value index exceeds a preset second operation range, and if so, giving an alarm or giving an early warning; if not, re-determining the wind-fire bundling delivery operation monitoring value index and the wind-fire bundling delivery real-time safety trend monitoring index, and giving an alarm according to the wind-fire bundling delivery operation monitoring value index or the real-time safety trend monitoring index; judging whether the obtained wind fire bundling and delivery real-time trend monitoring index value lambda is larger than 0, and giving an alarm or giving an early warning if lambda is larger than 0; if not, re-determining the wind-fire bundling delivery operation monitoring value index and the wind-fire bundling delivery real-time safety trend monitoring index, and giving an alarm according to the wind-fire bundling delivery operation monitoring value index or the real-time safety trend monitoring index. In a wind-fire bundling energy base AC/DC delivery safety monitoring system, the improvement comprising:
the safety index determining module is used for determining an operation monitoring value index and a safety index value comprehensive coefficient determining module for the wind fire bundling delivery according to the wind fire bundling delivery safety monitoring data, and is used for determining a wind fire bundling delivery comprehensive evaluation coefficient according to the wind fire bundling delivery safety index value;
the trend index determining module is used for determining a real-time safety trend monitoring index of the wind fire bundling delivery according to the wind fire bundling delivery comprehensive evaluation coefficient;
the warning module is used for carrying out early warning or displaying warning according to the wind fire bundling and outward conveying operation monitoring value index or the real-time trend monitoring index;
wherein, wind fire is beaten and is sent out safety monitoring data and obtain through wind fire bundle send out target data source, wind fire is beaten and is sent out target data source and include: wind-fire bundling delivery measurement data source, wind-fire bundling delivery prediction data source and wind-fire bundling delivery scheduling plan data source.
Preferably, the wind fire bundling and outgoing measurement data source comprises: the method comprises the steps that power grid model data acquired by an intelligent power grid scheduling technology support system and real-time operation condition data of a power grid are acquired through a state estimation function of network analysis application, PMU measurement data acquired through a wide area measurement system, field fault information or disturbance information acquired through a high-precision wave recorder and wind power plant fan real-time information acquired through a wind power real-time monitoring system are acquired;
the wind fire bundling and delivery prediction data source comprises: short-term and ultra-short-term new energy power prediction information is obtained through a wind-solar combined prediction system;
the wind-fire bundling and outward-conveying scheduling plan data source comprises daily power generation plan data, maintenance plan data, transfer plan data and load prediction data of the water-fire power plant, which are acquired by a water-fire power generation planning system;
wherein, the real-time operation condition data comprises: the method comprises the following steps of (1) grid QS files, DAT load flow calculation files and SWI transient stability calculation data;
the PMU measurement data comprises: the method comprises the following steps of (1) generating a bus voltage amplitude value, a phase angle, line active power and line reactive power;
the real-time information of the wind power plant fans comprises: and the outgoing line of the wind power plant sends out power information and interface bus voltage information.
Preferably, if the current wind-fire bundling outgoing safety index value of the wind-fire bundling energy base is determined, the data source for acquiring the wind-fire bundling outgoing safety monitoring data is a wind-fire bundling outgoing measurement data source;
and if the future wind-fire bundling outgoing safety index value of the wind-fire bundling energy base is determined, acquiring data sources of the wind-fire bundling outgoing safety monitoring data as a wind-fire bundling outgoing prediction data source and a scheduling plan data source.
Preferably, the safety index determining module includes:
an operation monitor value index determination unit configured to: determining a channel current power ratio index w1 according to the following formula:
in the formula (I), the compound is shown in the specification,
actually transmitting power value for the specified section; pmaxFor maximum transmission acceptance of power for a given section, l being profiledChannel, NwMonitoring whether w1 is in an allowable operation range in real time for the number of channels forming a section, wherein w1 is more than w1max, and w1max is equal to (0.7, 0.9);
determining the wind power-to-statistical region output ratio index w2 according to the following formula:
w2＝(W1/W2)％
in the formula, W1 is wind power actual output, W2 is all actual generated outputs in a statistical region, wherein the W2 operation range needs to be determined according to actual power grid source-grid coordination performance;
a security index determination unit for: the line overload ratio index A is determined according to the following formula1：
Wherein, P is the number of the open set mode; mtThe number of overload circuits is the t-th cut-off mode;
determining the voltage out-of-limit ratio index A according to the following formula2：
Wherein, P is the number of the open set mode; b istThe t-th cut-off mode voltage out-of-limit number;
determining the maximum overload index A of the line according to the following formula3：
Where P is the number of grid modes with line overload in all on-off scans, Q is the number of overloaded lines in a single on-off mode, Lj(t) the overload depth of the kth line in the overload lines which are numbered from 1 to Q in the jth on-off mode is taken; wherein j is the power grid mode number with line overload in all the on-off scanning of 1-P; wherein 1-Q is the number of the overload line in a single cut-off mode;
determining a maximum out-of-limit depth index A of the voltage according to the following formula4：
Where P is the number of grid modes with voltage violations in all on-off scans, Q is the number of voltage violations in a single on-off mode, and Vj(t) taking the out-of-limit depth of the t-th bus in the out-of-limit voltage buses with the numbers of 1-Q in the j-th cut-off mode, wherein j represents the power grid mode number with voltage out-of-limit in 1-P all cut-off scanning; wherein 1-Q is the number of voltage limit points in a single on-off mode;
determining the power angle instability statistical index B according to the following formula1：
Wherein S is the number of fault sets, TiCounting the number of power angle instability under the ith fault set;
the voltage instability statistical index B is determined according to the following formula2：
Wherein S is the number of fault sets, ViCounting the number of voltage instability under the ith fault set;
the frequency instability statistical indicator B is determined according to the following formula3：
Wherein S is the number of fault sets, fiCounting the number of frequency instability under the ith fault set;
determining a dynamic instability statistical indicator B according to the following formula4：
Wherein S is the number of fault sets, SiAnd counting the number of the dynamic instability under the ith fault set.
Preferably, the comprehensive coefficient determining module is configured to: determining the evaluation coefficient A of the static robustness of the wind-fire bundled outgoing power grid according to the following formulax：
Ax＝a1A1+a2A2+a3A3+a4A4
In the formula, A1As a line overload condition ratio index, A2Is an out-of-limit voltage ratio index, A3As an indication of the maximum overload of the line, A4Is an index of maximum out-of-limit depth of voltage, a1Weight of the line overload ratio index, a2Is the weight of the voltage out-of-limit ratio indicator, a3Weight of the maximum overload indicator of the line, a4Is the weight of the voltage maximum out-of-limit depth index, wherein, a1+a2+a3+a4＝1；
Determining an evaluation coefficient B of wind-fire bundling delivery fault instability rate according to the following formulax：
Bx＝b1B1+b2B2+b3B3+b4B4
In the formula, B1As a statistical indicator of power angle instability, B2As a statistical indicator of voltage instability, B3As a statistical indicator of frequency instability, B4As a statistical indicator of dynamic instability, b1Weight of the power angle instability statistical indicator, b2Is the weight of the voltage instability statistical indicator, b3Is the weight of the frequency instability statistical indicator, b4Is the weight of the dynamic instability statistical index, wherein b1+b2+b3+b4＝1。
Preferably, the trend indicator determining module is configured to:
determining a wind-fire bundling delivery real-time trend monitoring index lambda according to the following formula:
where c is the selected data window size, Δ t is the sampling interval for the calculated data, n0As an index to the first data point in the data window, y (n)0Δ t) is at data point n0The time derivative of index distribution or coefficient distribution on delta t, and y is an evaluation coefficient A of the static robustness of the power grid in the comprehensive evaluation coefficient of wind-fire bundling and outward deliveryxOr fault instability rate evaluation coefficient B in wind-fire bundling and outward conveying comprehensive evaluation coefficientx。
Preferably, the alarm module is used for
Judging whether the current power ratio index of the channel in the operation monitoring value index exceeds a preset first operation range, and if so, giving an alarm or giving an early warning; if not, re-determining the wind-fire bundling delivery operation monitoring value index and the wind-fire bundling delivery real-time safety trend monitoring index, and giving an alarm according to the wind-fire bundling delivery operation monitoring value index or the real-time safety trend monitoring index;
judging whether the output ratio index of the wind power in the statistical region in the operation monitoring value index exceeds a preset second operation range, and if so, giving an alarm or giving an early warning; if not, re-determining the wind-fire bundling delivery operation monitoring value index and the wind-fire bundling delivery real-time safety trend monitoring index, and giving an alarm according to the wind-fire bundling delivery operation monitoring value index or the real-time safety trend monitoring index; judging whether the obtained wind fire bundling and delivery real-time trend monitoring index value lambda is larger than 0, and giving an alarm or giving an early warning if lambda is larger than 0; if not, re-determining the wind-fire bundling delivery operation monitoring value index and the wind-fire bundling delivery real-time safety trend monitoring index, and giving an alarm according to the wind-fire bundling delivery operation monitoring value index or the real-time safety trend monitoring index. Compared with the prior art, the invention also has the following beneficial effects:
the technical scheme adopted by the invention determines the wind-fire bundling delivery safety index value according to the wind-fire bundling delivery safety monitoring data, determines the wind-fire bundling delivery comprehensive evaluation coefficient according to the wind-fire bundling delivery safety index value, determines the wind-fire bundling delivery real-time trend monitoring index according to the wind-fire bundling delivery comprehensive evaluation coefficient, and performs early warning according to the wind-fire bundling delivery real-time trend monitoring index; the method determines the current operation trend index and the future short-term operation trend index of the wind-fire bundling and outward conveying of the wind-fire bundling of the energy base based on the existing data source of the power system, and gives an alarm and prompts in time, thereby effectively improving the monitoring strength of the safe operation of the power system and the utilization rate of a power transmission channel, and ensuring the stable and efficient operation of the wind-fire bundling and outward conveying of the wind-fire bundling.
Drawings
FIG. 1 is a flow chart of a method for monitoring safety of AC/DC delivery of a wind-fire bundled energy base according to an embodiment of the invention;
FIG. 2 is a schematic diagram showing a multi-index radar of the method for monitoring the safety of the AC/DC delivery of the wind-fire bundling energy base in the embodiment of the invention;
fig. 3 is a schematic structural diagram of an ac/dc delivery safety monitoring system of a wind-fire bundling energy base according to an embodiment of the invention.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a wind-fire bundling and outward-conveying safety monitoring method and system for a wind-fire bundling energy base, which are explained below.
The foundation for providing the wind-fire bundling delivery prevention and control method and system of the wind-fire bundling energy base based on the development of a power grid simulation technology, a communication technology and a PMU wide area measurement technology is provided;
fig. 1 shows a flow chart of a method for monitoring safety of ac/dc delivery of a wind-fire bundled energy base in an embodiment of the present invention, and as shown in fig. 1, the method may include:
101. determining an operation monitoring value index and a safety index value of the wind fire bundling outgoing according to the wind fire bundling outgoing safety monitoring data;
102. determining a wind-fire bundling delivery comprehensive evaluation coefficient according to the wind-fire bundling delivery safety index value;
103. determining a wind fire bundling delivery real-time safety trend monitoring index according to the wind fire bundling delivery safety index value and the comprehensive evaluation coefficient, and giving an alarm according to the wind fire bundling delivery operation monitoring value index or the real-time safety trend monitoring index;
wherein, wind fire is beaten and is beaten outward and send out safety monitoring data and obtain through wind fire bundle outward send multi-target data source, wind fire is beaten and is beaten outward and send multi-target data source and can include: wind-fire bundling delivery measurement data source, wind-fire bundling delivery prediction data source and wind-fire bundling delivery scheduling plan data source.
The wind fire bundling and outward delivery measurement data source can comprise: the method comprises the steps of obtaining power grid model data through a smart power grid scheduling technology support system, obtaining real-time operation condition data of a power grid through a state estimation function of network analysis application, obtaining PMU measurement data through a wide area measurement system, obtaining field fault information or disturbance information through a high-precision wave recorder and obtaining wind power plant fan real-time information through a wind power real-time monitoring system; the partial data forms the operation analysis foundation of the whole system, and the accident inversion and simulation check are carried out; the real-time information of each wind power plant fan is periodically updated to an interface server appointed by a wind-fire bundling AC/DC delivery safety monitoring system in a standard E format file form;
the wind fire bundling outgoing prediction data source may include: short-term and ultra-short-term new energy power prediction information is obtained through a wind-solar combined prediction system; the data of the wind-light combined prediction system are periodically updated to an interface server appointed by a wind-fire bundling AC/DC delivery safety monitoring system in a standard E format file form;
the wind-fire bundling and outgoing scheduling plan data source can comprise daily power generation plan data, maintenance plan data, mediation plan data and load prediction data of a water-fire power plant, which are acquired by a water-fire power generation planning system; updating the water, fire and electricity power generation plan system data to an interface server appointed by a wind and fire bundling AC/DC delivery safety monitoring system in a regular period in the form of a standard E format file;
the data source forms the basis and the calculation source for monitoring the AC/DC delivery system of the wind-fire bundling energy base.
The real-time operation condition data may include: the method comprises the following steps of (1) grid QS files, DAT load flow calculation files and SWI transient stability calculation data;
the PMU measurement data may include: the method comprises the following steps of (1) converting substation bus voltage amplitude, phase angle, line active power, line reactive power, conventional power active and reactive power, generator end bus voltage and phase angle information;
the real-time information of the wind turbine of the wind power plant can comprise: and the outgoing line of the wind power plant sends out power information and interface bus voltage information.
Before determining the wind fire bundling and outward-conveying safety index value according to the wind fire bundling and outward-conveying safety monitoring data, the method can comprise butt joint and integration of the wind fire bundling and outward-conveying safety monitoring data to realize multi-target monitoring on wind power, thermal power and alternating current/direct current multi-type source network equipment, and the butt joint data source can comprise a scheduling control system, a wind and light combined prediction and forecast system closely related to new energy operation, a wind power real-time monitoring system, a water-fire-electricity power generation planning system and WAMS measurement information of real-time sensing system operation working conditions and track changes.
If the current wind-fire bundling delivery safety index value of the wind-fire bundling energy base is determined, the data source for acquiring the wind-fire bundling delivery safety monitoring data is a wind-fire bundling delivery measurement data source;
and if the future wind-fire bundling outgoing safety index value of the wind-fire bundling energy base is determined, acquiring data sources of the wind-fire bundling outgoing safety monitoring data as a wind-fire bundling outgoing prediction data source and a scheduling plan data source. (ii) a
The method has the advantages that real-time monitoring and multi-target diagnosis of wind-fire bundling AC/DC delivery scenes are achieved, multi-source data are analyzed, three closely related index clusters of 'wind-fire bundling AC/DC delivery' influencing safe operation of a system are defined and calculated, each index is subjected to normalization processing, and display and early warning are performed in a radar map mode; meanwhile, the power grid operation state inspection is realized based on 3D;
in order to monitor the power grid out-of-limit condition and the reject ratio index for statistics from the static level of the system, the following statistics reflecting the power grid out-of-limit and statistical indexes reflecting the transient support capability of the power grid are defined for system safety monitoring: according to the wind fire bundling and delivery safety monitoring data, determining the wind fire bundling and delivery operation monitoring value index, which can include: determining a channel current power ratio index w1 according to the following formula:
wherein
Actually transmitting power value for the specified section; pmaxFor maximum transmission acceptance of power of a given section, l is the channel forming the section, NwThe number of channels forming a cross section. Monitoring whether w1 is within an allowable operation range in real time, wherein w1 is more than w1max, and w1max belongs to (0.7, 0.9);
determining the wind power-to-statistical region output ratio index w2 according to the following formula:
w2＝(W1/W2)％
W1for actual wind power output, W2And (4) counting all actual generated output in the region. Wherein the w2 operation range needs to be determined according to the actual power grid source grid coordination performance.
Specifically, determining the value of the wind fire bundling outgoing safety index according to the wind fire bundling outgoing safety monitoring data may include: the line overload ratio index A is determined according to the following formula1：
Wherein, P is the number of the open set mode; mtThe number of overload circuits is the t-th cut-off mode;
determining the voltage out-of-limit ratio index A according to the following formula2：
Wherein, P is the number of the open set mode; b istThe t-th cut-off mode voltage out-of-limit number;
determining the maximum overload index A of the line according to the following formula3：
Where P is the number of grid modes with line overload in all on-off scans, Q is the number of overloaded lines in a single on-off mode, Lj(t) the overload depth of the kth line in the overload lines which are numbered from 1 to Q in the jth on-off mode is taken; wherein j is the power grid mode number with line overload in all the on-off scanning of 1-P; wherein 1-Q is the number of the overload line in a single cut-off mode;
determining a maximum out-of-limit depth index A of the voltage according to the following formula4：
Where P is the number of grid modes with voltage violations in all on-off scans, Q is the number of voltage violations in a single on-off mode, and Vj(t) taking the out-of-limit depth of the t-th bus in the out-of-limit voltage buses with the numbers of 1-Q in the j-th cut-off mode, wherein j represents the power grid mode number with voltage out-of-limit in 1-P all cut-off scanning; wherein 1-Q is the voltage threshold of the single switch-off modeNumbering;
determining the power angle instability statistical index B according to the following formula1：
Wherein S is the number of fault sets, TiCounting the number of power angle instability under the ith fault set;
the voltage instability statistical index B is determined according to the following formula2：
Wherein S is the number of fault sets, ViCounting the number of voltage instability under the ith fault set;
the frequency instability statistical indicator B is determined according to the following formula3：
Wherein S is the number of fault sets, fiCounting the number of frequency instability under the ith fault set;
determining a dynamic instability statistical indicator B according to the following formula4：
Wherein S is the number of fault sets, SiCounting the number of dynamic instability in the ith fault set; the fault set may include four categories of N-1 faults, N-2 faults, consideration protection false action faults.
Fig. 2 shows a display schematic diagram of a multi-index radar of the method for monitoring the safety of the ac/dc delivery of the wind-fire bundling energy base according to the embodiment of the invention, as shown in fig. 2, after the safety index value of the wind-fire bundling delivery is determined, the index can be displayed in a radar map in a partition manner, and the working condition of an analysis system can be comprehensively understood through the radar map; meanwhile, the functions of 3D visual dynamic display and running state inspection sub-functions can be provided, a 3D model running engine is constructed, wind power and photovoltaic new energy are connected into an alternating current-direct current power grid as a display background, power grid graph editing and geographic information are fused, a modularized design method is used, three-dimensional display of a plurality of running scenes of wind-fire bundling alternating current-direct current outgoing is achieved in a B/S framework mode, and the functions are divided into 4 major functions of map making, map resource management, scene comprehensive display and data comprehensive display.
On the graphic level, the functions of geographic information support, primitive and label management, power grid basic graphic operation (which can comprise thermal power plants, wind fields, photovoltaic power stations, towers and power transmission lines), graphic drawing and editing, 3D graphic display and graphic output are realized; on the aspect of service, the functions of power grid model linkage, data linkage, calculation analysis linkage, three-dimensional scene management, operation mode setting and simultaneous independent analysis of multiple persons are completed, and dynamic tidal current display, section composition display, section transmission limit display and constraint key fault prompt, branch power margin and dangerous forecast fault set display are provided. The power grid operation state inspection roaming function is provided, the position, the angle and the moving speed of the cruise camera can be customized, the power grid is subjected to roaming inspection, the power grid operation state is observed in a close range, and weak links of the power grid are found in time.
According to A1-A4Establishing a comprehensive index of the failure rate of power grid disconnection, reflecting the conditions of voltage out-of-limit, line overload and transformer overload existing in static safety scanning, accounting for the proportion and the severity of all disconnection modes, and preliminarily knowing the static robustness degree of the AC/DC outgoing power grid from the proportion; determining a wind fire bundling delivery comprehensive evaluation coefficient according to the wind fire bundling delivery safety index value may include:
determining the evaluation coefficient A of the static robustness of the wind-fire bundled outgoing power grid according to the following formulax：
Ax＝a1A1+a2A2+a3A3+a4A4
In the formula, A1As a line overload condition ratio index, A2Is an out-of-limit voltage ratio index, A3As an indication of the maximum overload of the line, A4Is an index of maximum out-of-limit depth of voltage, a1Weight of the line overload ratio index, a2Is the weight of the voltage out-of-limit ratio indicator, a3Weight of the maximum overload indicator of the line, a4Is the weight of the voltage maximum out-of-limit depth index, wherein, a1+a2+a3+a4＝1；
According to B1-B4The method comprises the steps of constructing a comprehensive index of the failure instability rate of the power grid, reflecting the proportion and the severity of various types of instability indexes in all failure sets when transient safety scanning is carried out according to four types of failures, and further knowing the transient robustness degree of the AC/DC power grid from the proportion number; determining an evaluation coefficient B of wind-fire bundling delivery fault instability rate according to the following formulax：
Bx＝b1B1+b2B2+b3B3+b4B4
In the formula, B1As a statistical indicator of power angle instability, B2As a statistical indicator of voltage instability, B3As a statistical indicator of frequency instability, B4As a statistical indicator of dynamic instability, b1Weight of the power angle instability statistical indicator, b2Is the weight of the voltage instability statistical indicator, b3Is the weight of the frequency instability statistical indicator, b4Is the weight of the dynamic instability statistical index, wherein b1+b2+b3+b4＝1。
The determining of the real-time safety trend monitoring index of the wind fire bundling delivery according to the wind fire bundling delivery comprehensive evaluation coefficient may include:
determining a wind-fire bundling delivery real-time safety trend monitoring index lambda according to the following formula:
where c is the selected data window size, Δ t is the sampling interval for the calculated data, n0As an index to the first data point in the data window, y (n)0Δ t) is at data point n0The time derivative of index distribution or coefficient distribution on delta t, and y is an evaluation coefficient A of the static robustness of the power grid in the comprehensive evaluation coefficient of wind-fire bundling and outward deliveryxOr fault instability rate evaluation coefficient B in wind-fire bundling and outward conveying comprehensive evaluation coefficientx。
According to wind-fire bundling and delivering real-time trend monitoring index, early warning can be carried out, and the method can comprise the following steps:
judging whether the current power ratio index of the channel in the operation monitoring value index exceeds a preset first operation range, and if so, giving an alarm or giving an early warning; if not, re-determining the wind-fire bundling delivery operation monitoring value index and the wind-fire bundling delivery real-time safety trend monitoring index, and giving an alarm according to the wind-fire bundling delivery operation monitoring value index or the real-time safety trend monitoring index;
judging whether the output ratio index of the wind power in the statistical region in the operation monitoring value index exceeds a preset second operation range, and if so, giving an alarm or giving an early warning; if not, re-determining the wind-fire bundling delivery operation monitoring value index and the wind-fire bundling delivery real-time safety trend monitoring index, and giving an alarm according to the wind-fire bundling delivery operation monitoring value index or the real-time safety trend monitoring index; judging whether the obtained wind fire bundling and delivery real-time trend monitoring index value lambda is larger than 0, if lambda is larger than 0, indicating that the index presents a deterioration trend, and giving an alarm or giving an early warning; if not, the instability index corresponding to the system is reduced, the system runs well, the wind fire bundling delivery operation monitoring value index and the wind fire bundling delivery real-time safety trend monitoring index are re-determined, and an alarm is given according to the wind fire bundling delivery operation monitoring value index or the real-time safety trend monitoring index.
Wherein the first operating range is: less than the maximum value w1max of the current power occupation ratio of the channel, wherein w1max is in the range of (0.7, 0.9); and the second operation range is determined according to the actual power grid source network coordination performance.
Fig. 3 is a schematic structural diagram of an ac/dc delivery safety monitoring system of a wind-fire bundling energy base according to an embodiment of the present invention, and as shown in fig. 3, the system may include:
the safety index determining module is used for determining an operation monitoring value index and a safety index value of the wind fire bundling outgoing transmission according to the wind fire bundling outgoing transmission safety monitoring data;
the comprehensive coefficient determining module is used for determining a comprehensive evaluation coefficient of the wind-fire bundling delivery according to the wind-fire bundling delivery safety index value;
the trend index determining module is used for determining a real-time safety trend monitoring index of the wind fire bundling delivery according to the wind fire bundling delivery comprehensive evaluation coefficient;
the warning module is used for carrying out early warning or displaying warning according to the wind fire bundling and outward conveying operation monitoring value index or the real-time trend monitoring index;
wherein, wind fire is beaten and is sent out safety monitoring data and obtain through wind fire bundle and send out target data source, wind fire is beaten and is sent out target data source and can include: wind-fire bundling delivery measurement data source, wind-fire bundling delivery prediction data source and wind-fire bundling delivery scheduling plan data source.
The wind fire bundling and outward delivery measurement data source can comprise: the method comprises the steps that power grid model data acquired by an intelligent power grid scheduling technology support system and real-time operation condition data of a power grid are acquired through a state estimation function of network analysis application, PMU measurement data acquired through a wide area measurement system, field fault information or disturbance information acquired through a high-precision wave recorder and wind power plant fan real-time information acquired through a wind power real-time monitoring system are acquired;
the wind fire bundling outgoing prediction data source may include: short-term and ultra-short-term new energy power prediction information is obtained through a wind-solar combined prediction system;
the wind-fire bundling and outgoing scheduling plan data source can comprise daily power generation plan data, maintenance plan data, mediation plan data and load prediction data of a water-fire power plant, which are acquired by a water-fire power generation planning system;
the real-time operation condition data may include: the method comprises the following steps of (1) grid QS files, DAT load flow calculation files and SWI transient stability calculation data;
the PMU measurement data may include: the method comprises the following steps of (1) generating a bus voltage amplitude value, a phase angle, line active power and line reactive power;
the real-time information of the wind turbine of the wind power plant can comprise: and the outgoing line of the wind power plant sends out power information and interface bus voltage information.
If the current wind-fire bundling delivery safety index value of the wind-fire bundling energy base is determined, acquiring a data source of wind-fire bundling delivery safety monitoring data as a wind-fire bundling delivery measurement data source;
and if the future wind-fire bundling outgoing safety index value of the wind-fire bundling energy base is determined, acquiring data sources of the wind-fire bundling outgoing safety monitoring data as a wind-fire bundling outgoing prediction data source and a scheduling plan data source.
Specifically, the safety index determining module may include: the operation monitoring value index determining unit is used for determining the operation monitoring value index of the wind fire bundling delivery according to the wind fire bundling delivery safety monitoring data and monitoring whether the operation range of the key index of the wind fire bundling delivery is reasonable or not according to the wind fire bundling delivery safety monitoring data;
determining a channel current power ratio index w1 according to the following formula:
wherein
Actually transmitting power value for the specified section; pmaxFor maximum transmission acceptance of power of a given section, l is the channel forming the section, NwMonitoring whether w1 is within an allowable operation range in real time for the number of channels forming the section;
determining the wind power-to-statistical region output ratio index w2 according to the following formula:
w2＝(W1/W2)％
in the formula, W1 is the actual wind power output, and W2 is the total actual generated output in the statistical region;
a security index determination unit for: the line overload ratio index A is determined according to the following formula1：
Wherein, P is the number of the open set mode; mtThe number of overload circuits is the t-th cut-off mode;
determining the voltage out-of-limit ratio index A according to the following formula2：
Wherein, P is the number of the open set mode; b istThe t-th cut-off mode voltage out-of-limit number;
determining the maximum overload index A of the line according to the following formula3：
Where P is the number of grid modes with line overload in all on-off scans, Q is the number of overloaded lines in a single on-off mode, Lj(t) the overload depth of the kth line in the overload lines which are numbered from 1 to Q in the jth on-off mode is taken; wherein j is the power grid mode number with line overload in all the on-off scanning of 1-P; wherein 1-Q is the number of the overload line in a single cut-off mode;
determining a maximum out-of-limit depth index A of the voltage according to the following formula4：
Where P is the number of grid modes with voltage violations in all on-off scans, Q is the number of voltage violations in a single on-off mode, and Vj(t) is the t-th bus in the out-of-limit voltage buses with the serial numbers of 1-Q under the jth on-off modeWherein j represents the power grid mode number with voltage out-of-limit in all 1-P on-off scanning; wherein 1-Q is the number of voltage limit points in a single on-off mode;
determining the power angle instability statistical index B according to the following formula1：
Wherein S is the number of fault sets, TiCounting the number of power angle instability under the ith fault set;
the voltage instability statistical index B is determined according to the following formula2：
Wherein S is the number of fault sets, ViCounting the number of voltage instability under the ith fault set;
the frequency instability statistical indicator B is determined according to the following formula3：
Wherein S is the number of fault sets, fiCounting the number of frequency instability under the ith fault set;
determining a dynamic instability statistical indicator B according to the following formula4：
Wherein S is the number of fault sets, SiAnd counting the number of the dynamic instability under the ith fault set.
The synthesis coefficient determination module is configured to: determining the evaluation coefficient A of the static robustness of the wind-fire bundled outgoing power grid according to the following formulax：
Ax＝a1A1+a2A2+a3A3+a4A4
In the formula, A1As a line overload condition ratio index, A2Is an out-of-limit voltage ratio index, A3As an indication of the maximum overload of the line, A4Is an index of maximum out-of-limit depth of voltage, a1Weight of the line overload ratio index, a2Is the weight of the voltage out-of-limit ratio indicator, a3Weight of the maximum overload indicator of the line, a4Is the weight of the voltage maximum out-of-limit depth index, wherein, a1+a2+a3+a4＝1；
Determining an evaluation coefficient B of wind-fire bundling delivery fault instability rate according to the following formulax：
Bx＝b1B1+b2B2+b3B3+b4B4
In the formula, B1As a statistical indicator of power angle instability, B2As a statistical indicator of voltage instability, B3As a statistical indicator of frequency instability, B4As a statistical indicator of dynamic instability, b1Weight of the power angle instability statistical indicator, b2Is the weight of the voltage instability statistical indicator, b3Is the weight of the frequency instability statistical indicator, b4Is the weight of the dynamic instability statistical index, wherein b1+b2+b3+b4＝1。
The trend indicator determining module is configured to:
determining a wind-fire bundling delivery real-time trend monitoring index lambda according to the following formula:
where c is the selected data window size, Δ t is the sampling interval for the calculated data, n0As an index to the first data point in the data window, y (n)0Δ t) is at data point n0The time derivative of index distribution or coefficient distribution on delta t, and y is the evaluation system of the static robustness of the power grid in the comprehensive evaluation coefficient of wind-fire bundling and outward deliveryNumber AxOr fault instability rate evaluation coefficient B in wind-fire bundling and outward conveying comprehensive evaluation coefficientx。
In particular, the alarm module is used for
Judging whether the current power ratio index of the channel in the operation monitoring value index exceeds a preset first operation range, and if so, giving an alarm or giving an early warning; if not, re-determining the wind-fire bundling delivery operation monitoring value index and the wind-fire bundling delivery real-time safety trend monitoring index, and giving an alarm according to the wind-fire bundling delivery operation monitoring value index or the real-time safety trend monitoring index;
judging whether the output ratio index of the wind power in the statistical region in the operation monitoring value index exceeds a preset second operation range, and if so, giving an alarm or giving an early warning; if not, re-determining the wind-fire bundling delivery operation monitoring value index and the wind-fire bundling delivery real-time safety trend monitoring index, and giving an alarm according to the wind-fire bundling delivery operation monitoring value index or the real-time safety trend monitoring index; judging whether the obtained wind fire bundling and delivery real-time trend monitoring index value lambda is larger than 0, if lambda is larger than 0, indicating that the index presents a deterioration trend, and giving an alarm or giving an early warning; if not, the instability index corresponding to the system is reduced, the system runs well, the wind fire bundling delivery operation monitoring value index and the wind fire bundling delivery real-time safety trend monitoring index are re-determined, and an alarm is given according to the wind fire bundling delivery operation monitoring value index or the real-time safety trend monitoring index.
Wherein the first operating range is: less than the maximum value w1max of the current power occupation ratio of the channel, wherein w1max is in the range of (0.7, 0.9); and the second operation range is determined according to the actual power grid source network coordination performance.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (which may include, but is not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (6)
1. A wind-fire bundling energy base alternating current-direct current outward-sending safety monitoring method is characterized by comprising the following steps:
determining an operation monitoring value index and a safety index value of the wind fire bundling outgoing according to the wind fire bundling outgoing safety monitoring data;
determining a wind-fire bundling delivery comprehensive evaluation coefficient according to the wind-fire bundling delivery safety index value;
determining a wind fire bundling delivery real-time safety trend monitoring index according to the wind fire bundling delivery safety index value and the comprehensive evaluation coefficient, and giving an alarm according to the wind fire bundling delivery operation monitoring value index or the real-time safety trend monitoring index;
wherein, wind fire is beaten and is beaten outward and send out safety monitoring data and obtain through wind fire bundle outward send multi-target data source, wind fire is beaten and is beaten outward and send multi-target data source and include: wind-fire bundling delivery measurement data source, wind-fire bundling delivery prediction data source and wind-fire bundling delivery scheduling plan data source;
according to wind fire bundling and outward conveying safety monitoring data, determining a wind fire bundling and outward conveying operation monitoring value index, comprising: determining a channel current power ratio index w1 according to the following formula:
wherein
Actually transmitting power value for the specified section; pmaxFor maximum transmission acceptance of power of a given section, l is the channel forming the section, NwThe number of channels forming a cross section;
determining the wind power-to-statistical region output ratio index w2 according to the following formula:
w2＝(W1/W2)％
W1for actual wind power output, W2All actual generated output in the statistical region is obtained;
according to wind fire bundling and outward conveying safety monitoring data, determining a wind fire bundling and outward conveying safety index value, comprising: the line overload ratio index A is determined according to the following formula1：
Wherein, P is the number of the open set mode; mtThe number of overload circuits is the t-th cut-off mode;
determining the voltage out-of-limit ratio index A according to the following formula2：
Wherein, P is the number of the open set mode; b istThe t-th cut-off mode voltage out-of-limit number;
determining the maximum overload index A of the line according to the following formula3：
Where P is the number of grid modes with line overload in all on-off scans, Q is the number of overloaded lines in a single on-off mode, Lj(t) the overload depth of the kth line in the overload lines which are numbered from 1 to Q in the jth on-off mode is taken; wherein j is the power grid mode number with line overload in all the on-off scanning of 1-P; wherein 1-Q is the number of the overload line in a single cut-off mode;
determining a maximum out-of-limit depth index A of the voltage according to the following formula4：
Where P is the number of grid modes with voltage violations in all on-off scans, Q is the number of voltage violations in a single on-off mode, and Vj(t) taking the out-of-limit depth of the t-th bus in the out-of-limit voltage buses with the numbers of 1-Q in the j-th cut-off mode, wherein j represents the power grid mode number with voltage out-of-limit in 1-P all cut-off scanning; wherein 1-Q is the number of voltage limit points in a single on-off mode;
determining the power angle instability statistical index B according to the following formula1：
Wherein S is the number of fault sets, TiCounting the number of power angle instability under the ith fault set;
the voltage instability statistical index B is determined according to the following formula2：
Wherein S is the number of fault sets, ViCounting the number of voltage instability under the ith fault set;
the frequency instability statistical indicator B is determined according to the following formula3：
Wherein S is the number of fault sets, fiCounting the number of frequency instability under the ith fault set;
determining a dynamic instability statistical indicator B according to the following formula4：
Wherein S is the number of fault sets, SiIs as followsCounting the number of dynamic instability under i fault sets;
the determining of the comprehensive evaluation coefficient of the wind fire bundling delivery according to the wind fire bundling delivery safety index value comprises the following steps:
determining the evaluation coefficient A of the static robustness of the wind-fire bundled outgoing power grid according to the following formulax：
Ax＝a1A1+a2A2+a3A3+a4A4
In the formula, A1As a line overload condition ratio index, A2Is an out-of-limit voltage ratio index, A3As an indication of the maximum overload of the line, A4Is an index of maximum out-of-limit depth of voltage, a1Weight of the line overload ratio index, a2Is the weight of the voltage out-of-limit ratio indicator, a3Weight of the maximum overload indicator of the line, a4Is the weight of the voltage maximum out-of-limit depth index, wherein, a1+a2+a3+a4＝1；
Determining an evaluation coefficient B of wind-fire bundling delivery fault instability rate according to the following formulax：
Bx＝b1B1+b2B2+b3B3+b4B4
In the formula, B1As a statistical indicator of power angle instability, B2As a statistical indicator of voltage instability, B3As a statistical indicator of frequency instability, B4As a statistical indicator of dynamic instability, b1Weight of the power angle instability statistical indicator, b2Is the weight of the voltage instability statistical indicator, b3Is the weight of the frequency instability statistical indicator, b4Is the weight of the dynamic instability statistical index, wherein b1+b2+b3+b4＝1；
The real-time safety trend monitoring index for determining the wind fire bundling delivery according to the wind fire bundling delivery comprehensive evaluation coefficient comprises the following steps:
determining a wind-fire bundling delivery real-time safety trend monitoring index lambda according to the following formula:
where c is the selected data window size, Δ t is the sampling interval for the calculated data, n0As an index to the first data point in the data window, y (n)0Δ t) is at data point n0The time derivative of index distribution or coefficient distribution on delta t, and y is an evaluation coefficient A of the static robustness of the power grid in the comprehensive evaluation coefficient of wind-fire bundling and outward deliveryxOr fault instability rate evaluation coefficient B in wind-fire bundling and outward conveying comprehensive evaluation coefficientx；
According to wind fire bundling and delivering real-time trend monitoring index and carrying out early warning, the method comprises the following steps:
judging whether the current power ratio index of the channel in the operation monitoring value index exceeds a preset first operation range, and if so, giving an alarm or giving an early warning; if not, re-determining the wind-fire bundling delivery operation monitoring value index and the wind-fire bundling delivery real-time safety trend monitoring index, and giving an alarm according to the wind-fire bundling delivery operation monitoring value index or the real-time safety trend monitoring index;
judging whether the output ratio index of the wind power in the statistical region in the operation monitoring value index exceeds a preset second operation range, and if so, giving an alarm or giving an early warning; if not, re-determining the wind-fire bundling delivery operation monitoring value index and the wind-fire bundling delivery real-time safety trend monitoring index, and giving an alarm according to the wind-fire bundling delivery operation monitoring value index or the real-time safety trend monitoring index; judging whether the obtained wind fire bundling and delivery real-time trend monitoring index value lambda is larger than 0, and giving an alarm or giving an early warning if lambda is larger than 0; if not, re-determining the wind-fire bundling delivery operation monitoring value index and the wind-fire bundling delivery real-time safety trend monitoring index, and giving an alarm according to the wind-fire bundling delivery operation monitoring value index or the real-time safety trend monitoring index.
2. The method of claim 1, wherein the wind fire bundling outbound measurement data source comprises: the method comprises the steps of obtaining power grid model data through a smart power grid scheduling technology support system, obtaining real-time operation condition data of a power grid through a state estimation function of network analysis application, obtaining PMU measurement data through a wide area measurement system, obtaining field fault information or disturbance information through a high-precision wave recorder and obtaining wind power plant fan real-time information through a wind power real-time monitoring system;
the wind fire bundling and delivery prediction data source comprises: short-term and ultra-short-term new energy power prediction information is obtained through a wind-solar combined prediction system;
the wind-fire bundling and outward-conveying scheduling plan data source comprises daily power generation plan data, maintenance plan data, transfer plan data and load prediction data of the water-fire power plant, which are acquired by a water-fire power generation planning system;
wherein, the real-time operation condition data comprises: the method comprises the following steps of (1) grid QS files, DAT load flow calculation files and SWI transient stability calculation data;
the PMU measurement data comprises: the method comprises the following steps of (1) converting substation bus voltage amplitude, phase angle, line active power, line reactive power, conventional power active and reactive power, generator end bus voltage and phase angle information;
the real-time information of the wind power plant fans comprises: and the outgoing line of the wind power plant sends out power information and interface bus voltage information.
3. The method of claim 1, wherein if the current wind fire bundling outgoing safety index value of the wind fire bundling energy base is determined, the data source for obtaining the wind fire bundling outgoing safety monitoring data is a wind fire bundling outgoing measurement data source;
and if the future wind-fire bundling outgoing safety index value of the wind-fire bundling energy base is determined, acquiring data sources of the wind-fire bundling outgoing safety monitoring data as a wind-fire bundling outgoing prediction data source and a scheduling plan data source.
4. The utility model provides a wind fire bundling energy base alternating current-direct current sends out safety monitoring system, its characterized in that, the system includes:
the safety index determining module is used for determining an operation monitoring value index and a safety index value comprehensive coefficient determining module for the wind fire bundling delivery according to the wind fire bundling delivery safety monitoring data, and is used for determining a wind fire bundling delivery comprehensive evaluation coefficient according to the wind fire bundling delivery safety index value;
the trend index determining module is used for determining a real-time safety trend monitoring index of the wind fire bundling delivery according to the wind fire bundling delivery comprehensive evaluation coefficient;
the warning module is used for carrying out early warning or displaying warning according to the wind fire bundling and outward conveying operation monitoring value index or the real-time trend monitoring index;
wherein, wind fire is beaten and is sent out safety monitoring data and obtain through wind fire bundle send out target data source, wind fire is beaten and is sent out target data source and include: wind-fire bundling delivery measurement data source, wind-fire bundling delivery prediction data source and wind-fire bundling delivery scheduling plan data source;
the safety index determining module comprises:
an operation monitor value index determination unit configured to: determining a channel current power ratio index w1 according to the following formula:
wherein
Actually transmitting power value for the specified section; pmaxFor maximum transmission acceptance of power of a given section, l is the channel forming the section, NwThe number of channels forming a cross section;
determining the wind power-to-statistical region output ratio index w2 according to the following formula:
w2＝(W1/W2)％
in the formula, w1 is the actual wind power output, and w2 is the total actual generated output in the statistical region;
a security index determination unit for: line overload condition is determined as followsRatio index A1：
Wherein, P is the number of the open set mode; mtThe number of overload circuits is the t-th cut-off mode;
determining the voltage out-of-limit ratio index A according to the following formula2：
Wherein, P is the number of the open set mode; b istThe t-th cut-off mode voltage out-of-limit number;
determining the maximum overload index A of the line according to the following formula3：
Where P is the number of grid modes with line overload in all on-off scans, Q is the number of overloaded lines in a single on-off mode, Lj(t) the overload depth of the kth line in the overload lines which are numbered from 1 to Q in the jth on-off mode is taken; wherein j is the power grid mode number with line overload in all the on-off scanning of 1-P; wherein 1-Q is the number of the overload line in a single cut-off mode;
determining a maximum out-of-limit depth index A of the voltage according to the following formula4：
Where P is the number of grid modes with voltage violations in all on-off scans, Q is the number of voltage violations in a single on-off mode, and Vj(t) is the out-of-limit depth of the t-th bus in the out-of-limit voltage buses with the number of 1-Q under the j-th switching modeDegree, wherein j represents a power grid mode number with voltage out-of-limit in all 1-P on-off scanning; wherein 1-Q is the number of voltage limit points in a single on-off mode;
determining the power angle instability statistical index B according to the following formula1：
Wherein S is the number of fault sets, TiCounting the number of power angle instability under the ith fault set;
the voltage instability statistical index B is determined according to the following formula2：
Wherein S is the number of fault sets, ViCounting the number of voltage instability under the ith fault set;
the frequency instability statistical indicator B is determined according to the following formula3：
Wherein S is the number of fault sets, fiCounting the number of frequency instability under the ith fault set;
determining a dynamic instability statistical indicator B according to the following formula4：
Wherein S is the number of fault sets, SiCounting the number of dynamic instability in the ith fault set;
the trend indicator determining module is configured to:
determining a wind-fire bundling delivery real-time trend monitoring index lambda according to the following formula:
where c is the selected data window size, Δ t is the sampling interval for the calculated data, n0As an index to the first data point in the data window, y (n)0Δ t) is at data point n0The time derivative of index distribution or coefficient distribution on delta t, and y is an evaluation coefficient A of the static robustness of the power grid in the comprehensive evaluation coefficient of wind-fire bundling and outward deliveryxOr fault instability rate evaluation coefficient B in wind-fire bundling and outward conveying comprehensive evaluation coefficientx；
The alarm module is used for:
judging whether the current power ratio index of the channel in the operation monitoring value index exceeds a preset first operation range, and if so, giving an alarm or giving an early warning; if not, re-determining the wind-fire bundling delivery operation monitoring value index and the wind-fire bundling delivery real-time safety trend monitoring index, and giving an alarm according to the wind-fire bundling delivery operation monitoring value index or the real-time safety trend monitoring index;
judging whether the output ratio index of the wind power in the statistical region in the operation monitoring value index exceeds a preset second operation range, and if so, giving an alarm or giving an early warning; if not, re-determining the wind-fire bundling delivery operation monitoring value index and the wind-fire bundling delivery real-time safety trend monitoring index, and giving an alarm according to the wind-fire bundling delivery operation monitoring value index or the real-time safety trend monitoring index; judging whether the obtained wind fire bundling and delivery real-time trend monitoring index value lambda is larger than 0, and giving an alarm or giving an early warning if lambda is larger than 0; if not, re-determining the wind-fire bundling delivery operation monitoring value index and the wind-fire bundling delivery real-time safety trend monitoring index, and giving an alarm according to the wind-fire bundling delivery operation monitoring value index or the real-time safety trend monitoring index;
the synthesis coefficient determination module is configured to: determining the evaluation coefficient A of the static robustness of the wind-fire bundled outgoing power grid according to the following formulax：
Ax＝a1A1+a2A2+a3A3+a4A4
In the formula, A1As a line overload condition ratio index, A2Is an out-of-limit voltage ratio index, A3As an indication of the maximum overload of the line, A4Is an index of maximum out-of-limit depth of voltage, a1Weight of the line overload ratio index, a2Is the weight of the voltage out-of-limit ratio indicator, a3Weight of the maximum overload indicator of the line, a4Is the weight of the voltage maximum out-of-limit depth index, wherein, a1+a2+a3+a4＝1；
Determining an evaluation coefficient B of wind-fire bundling delivery fault instability rate according to the following formulax：
Bx＝b1B1+b2B2+b3B3+b4B4
In the formula, B1As a statistical indicator of power angle instability, B2As a statistical indicator of voltage instability, B3As a statistical indicator of frequency instability, B4As a statistical indicator of dynamic instability, b1Weight of the power angle instability statistical indicator, b2Is the weight of the voltage instability statistical indicator, b3Is the weight of the frequency instability statistical indicator, b4Is the weight of the dynamic instability statistical index, wherein b1+b2+b3+b4＝1。
5. The system of claim 4, wherein the wind fire bundling outbound measurement data source comprises: the method comprises the steps that power grid model data acquired by an intelligent power grid scheduling technology support system and real-time operation condition data of a power grid are acquired through a state estimation function of network analysis application, PMU measurement data acquired through a wide area measurement system, field fault information or disturbance information acquired through a high-precision wave recorder and wind power plant fan real-time information acquired through a wind power real-time monitoring system are acquired;
the wind fire bundling and delivery prediction data source comprises: short-term and ultra-short-term new energy power prediction information is obtained through a wind-solar combined prediction system;
the wind-fire bundling and outward-conveying scheduling plan data source comprises daily power generation plan data, maintenance plan data, transfer plan data and load prediction data of the water-fire power plant, which are acquired by a water-fire power generation planning system;
wherein, the real-time operation condition data comprises: the method comprises the following steps of (1) grid QS files, DAT load flow calculation files and SWI transient stability calculation data;
the PMU measurement data comprises: the method comprises the following steps of (1) generating a bus voltage amplitude value, a phase angle, line active power and line reactive power;
the real-time information of the wind power plant fans comprises: and the outgoing line of the wind power plant sends out power information and interface bus voltage information.
6. The system of claim 4, wherein if the current wind fire bundle delivery safety index value of the wind fire bundle energy base is determined, the data source for obtaining the wind fire bundle delivery safety monitoring data is a wind fire bundle delivery measurement data source;
and if the future wind-fire bundling outgoing safety index value of the wind-fire bundling energy base is determined, acquiring data sources of the wind-fire bundling outgoing safety monitoring data as a wind-fire bundling outgoing prediction data source and a scheduling plan data source.
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| CN103236719A (en) * | 2013-04-17 | 2013-08-07 | 国家电网公司 | Wind power bundling control method after wind power and thermal power accessing to power grid |
| CN104037788A (en) * | 2014-06-16 | 2014-09-10 | 东南大学 | Wind fire bundling system control device and method thereof |
| CN104751236A (en) * | 2014-12-29 | 2015-07-01 | 国家电网公司 | Transmission capacity and wind and fire bundling transmission optimization method of extra-high voltage channel |
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| CN103236719A (en) * | 2013-04-17 | 2013-08-07 | 国家电网公司 | Wind power bundling control method after wind power and thermal power accessing to power grid |
| CN104037788A (en) * | 2014-06-16 | 2014-09-10 | 东南大学 | Wind fire bundling system control device and method thereof |
| CN104751236A (en) * | 2014-12-29 | 2015-07-01 | 国家电网公司 | Transmission capacity and wind and fire bundling transmission optimization method of extra-high voltage channel |
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