CN117691596A - Line loss control method and system for power distribution network - Google Patents
Line loss control method and system for power distribution network Download PDFInfo
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- H—ELECTRICITY
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Abstract
The invention belongs to the technical field of power distribution network supervision, and particularly relates to a line loss control method and a line loss control system for a power distribution network, wherein the line loss control system comprises a power distribution network control platform, a line risk identification module, a line loss evaluation module, a line optimization control module, an optimization check module and a remote supervision end; according to the invention, risk identification analysis is carried out on the corresponding line through the line risk identification module, the overall loss performance condition of the corresponding line is analyzed through the line loss evaluation module after the risk normal signal is generated, the corresponding loss optimization strategy is determined based on the operation condition of the corresponding line through the line optimization control module after the loss early warning signal is generated, the corresponding loss optimization operation is carried out according to the determined loss optimization strategy so as to reduce the line loss, intelligent regulation control of the line loss is realized, the line loss is reduced, the operation safety is ensured, and the degree of automation and intelligence is high.
Description
Technical Field
The invention relates to the technical field of power distribution network supervision, in particular to a line loss control method and system for a power distribution network.
Background
The distribution network is a power network which receives electric energy from a power transmission network or a regional power plant in a power system and distributes the electric energy to various users in situ through distribution facilities or step by step according to voltage, the distribution network consists of various distribution equipment and distribution facilities, the voltage level of the distribution network is lower and is usually in the range of 380V to 10kV, and along with the development of social economy, the electric power demand is increased increasingly, and the running efficiency and the stability of the power system are also receiving more and more attention;
the line loss is an important problem in the operation of the power system, not only can energy waste be caused, but also the operation cost of the power distribution network can be increased, the accurate evaluation and the automatic optimization control of the loss condition of each line in the power distribution network are difficult to realize at present, the risk condition and the loss optimization effect of the power distribution network can not be reasonably analyzed and timely early-warned, and the problems of reducing the loss and ensuring the safe and stable operation of the power distribution network are not facilitated;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide a line loss control method and system for a power distribution network, which solve the problems that the prior art is difficult to realize accurate evaluation and automatic optimization control on the loss condition of each line in the power distribution network, the risk condition and the loss optimization effect of the power distribution network cannot be reasonably analyzed and timely early-warned, the loss is not easy to reduce, the safe and stable operation of the power distribution network is ensured, and the intelligent degree and the automation degree are low.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a line loss control system for a power distribution network comprises a power distribution network control platform, a line risk identification module, a line loss evaluation module, a line optimization control module, an optimization check module and a remote monitoring end; the line risk identification module divides the corresponding line into a plurality of segments, judges the risk degree of the corresponding segment through analysis, generates a risk early warning signal or a risk normal signal, sends the risk early warning signal to a remote monitoring end through a power distribution network control platform, and sends the risk normal signal to the line loss evaluation module through the power distribution network control platform;
when the line loss evaluation module receives the risk normal signal, analyzing the overall loss performance condition of the corresponding line, generating a loss early warning signal or a loss normal signal through analysis, and transmitting the loss early warning signal of the corresponding line to the remote monitoring end and the line optimization control module through the power distribution network control platform;
after receiving the loss early warning signal, the line optimization control module determines a corresponding loss optimization strategy based on the running condition of the corresponding line, and sends an instruction to related equipment according to the determined loss optimization strategy, and executes corresponding loss optimization operation to reduce the line loss; when the line optimization control module controls the related equipment to perform loss optimization operation on the corresponding line, the optimization checking and checking module analyzes the loss optimization effect of the corresponding line in a checking period, generates a control qualified signal or a control unqualified signal through analysis, and sends the control unqualified signal to a remote monitoring end through the power distribution network control platform.
Further, the specific operation process of the line risk identification module includes:
acquiring loss data of each segment in the corresponding line of the detection period, and performing variance calculation on the loss data of all segments in the corresponding line to obtain a loss fluctuation detection value; carrying out numerical comparison on the loss fluctuation detection value and a preset loss fluctuation detection threshold value, and generating a risk early warning signal if the loss fluctuation detection value exceeds the preset loss fluctuation detection threshold value; if the loss fluctuation detection value does not exceed the preset loss fluctuation detection threshold value, marking the corresponding section in the line as a high-difference section, a medium-difference section or a low-difference section through section accurate judgment analysis, and if the high-difference section exists on the corresponding line, generating a risk early warning signal;
if the high-speed abnormal section does not exist, marking the ratio of the number of the abnormal sections on the corresponding line as an abnormal section analysis value, carrying out summation calculation on the section analysis values of all the sections in the corresponding line, taking an average value to obtain a line evaluation value, and carrying out numerical calculation on the line evaluation value and the abnormal section analysis value to obtain a line risk analysis value; the line risk analysis value is compared with a preset line risk analysis threshold value, and if the line risk analysis value exceeds the preset line risk analysis threshold value, a risk early warning signal is generated; and if the line risk analysis value does not exceed the preset line risk analysis threshold value, generating a risk normal signal.
Further, the specific analysis process of the segmentation accurate judgment analysis is as follows:
collecting the surface temperatures of all the sections in the corresponding line, and marking the excess value of the surface temperature of the corresponding section compared with the ambient temperature as the surface excess temperature; carrying out numerical calculation on the surface temperature, the overtemperature and the loss data of the corresponding segment to obtain a segment analysis value, carrying out numerical comparison on the segment analysis value and a preset segment analysis value range, and marking the corresponding segment as a high-difference segment if the segment analysis value exceeds the maximum value of the preset segment analysis value range; if the segment analysis value does not exceed the minimum value of the preset segment analysis value range, marking the corresponding segment as a low-difference segment; if the segment analysis value is within the preset segment analysis value range, the corresponding segment is marked as a middle-different segment.
Further, the specific operation process of the line loss evaluation module is as follows:
the loss data of the corresponding segments are compared with a preset loss data threshold value in a numerical mode, if the loss data exceeds the preset loss data threshold value, the corresponding segments are marked as high-loss objects, and the ratio of the number of the high-loss objects to the number of the segments in the corresponding lines is marked as a high-loss road occupation value;
the loss data of all the segments in the corresponding line are summed, the average value is obtained to obtain a loss analysis value, the loss analysis value and the high-loss road occupation value are subjected to numerical calculation to obtain a line overall consumption evaluation value, the line overall consumption evaluation value is subjected to numerical comparison with a preset line overall consumption evaluation threshold, and if the line overall consumption evaluation value exceeds the preset line overall consumption evaluation threshold, a loss early warning signal of the corresponding line is generated; and if the line overall consumption evaluation value does not exceed the preset line overall consumption evaluation threshold value, generating a loss normal signal of the corresponding line.
Further, the specific process of the optimization checking module is as follows:
taking the moment of starting the loss optimization operation as a time starting point, setting a checking period with the duration of L1, wherein L1 is an integer multiple of the duration of the detection period; acquiring the line overall consumption evaluation values of the corresponding lines in all detection periods in the checking period, establishing a rectangular coordinate system positioned in a first quadrant by taking time as an X axis and the line overall consumption evaluation values as a Y axis, marking the rectangular coordinate system as an optimized effect coordinate system, and generating a plurality of checking points in the optimized effect coordinate system based on the line overall consumption evaluation values of the corresponding lines in all detection periods in the checking period;
summing up the ordinate of all check points, calculating and taking an average value, and subtracting the average value result from the overall line consumption evaluation value of the adjacent detection period before the optimization is started to obtain an optimized effective measurement value; and comparing the optimized effective measurement value with a preset optimized effective measurement threshold value in a numerical mode, and generating a control disqualification signal if the optimized effective measurement value does not exceed the preset optimized effective measurement threshold value.
Further, if the optimization efficiency measurement value exceeds a preset optimization efficiency measurement threshold value, judging rays which are parallel to the X axis and have endpoints on the Y axis are made in an optimization effect coordinate system, and the Y axis coordinate value of the judging rays is the whole line consumption evaluation value of the adjacent detection period before the optimization is started; marking the number of the check points below the judging rays in the optimization effect coordinate system as an optimal check detection value, marking the first check point below the judging rays as an optimal point, and calculating the time difference between the time intermediate value of the detection period corresponding to the optimal point and the time when the loss optimization operation starts to obtain the optimal effect duration;
connecting two adjacent groups of check points in the optimization effect coordinate system one by one through line segments, marking the line segments with descending trend as the top list line segments, and marking the number occupation ratio of the top list line segments as the top list segment occupation value; performing numerical calculation on the optimal checking detection value, the optimal effect duration, the optimal table segment occupation value and the optimal effect measurement value to obtain an optimal checking detection value, performing numerical comparison on the optimal checking detection value and a preset optimal checking threshold value, and generating a control qualified signal if the optimal checking detection value exceeds the preset optimal checking threshold value; and if the optimization checking check value does not exceed the preset optimization checking threshold value, generating a control disqualification signal.
Further, the power distribution network control platform is in communication connection with the power distribution network supervision module, the power distribution network supervision module obtains the lines to be supervised, the corresponding lines are marked as i, and i is a natural number larger than 1; the circuit i is marked as a difficult-to-control circuit or an easy-to-control circuit through analysis, whether a strong power distribution network supervision signal is generated or not is judged, and the strong power distribution network supervision signal and marking information of the circuit i are sent to a remote supervision terminal through a power distribution network control platform.
Further, the specific operation process of the power distribution network supervision module comprises the following steps:
setting a supervision period, and acquiring the number of times that a line i generates a risk early warning signal, the number of times that a loss early warning signal and the number of times that a control failure signal are generated in the supervision period, and marking the risk early warning signal, the loss early warning signal and the control failure signal as a risk alarm value, a loss alarm value and a control failure value respectively; carrying out numerical calculation on the risk alarm value, the loss alarm value and the control abnormal analysis value to obtain a line representation value, carrying out numerical comparison on the line representation value and a preset line representation threshold value, and marking the line i as a difficult-to-manage line if the line representation value exceeds the preset line representation threshold value; if the line representation value does not exceed the preset line representation threshold, marking the line i as an easy-to-manage line.
Further, after marking the line i as a difficult-to-control line or an easy-to-control line, collecting the number occupation ratio of the difficult-to-control line in the line to be monitored and marking the number occupation ratio as a difficult-to-control line occupation value, collecting the total time length of all the lines in use, carrying out average calculation on the total time length of all the lines in use to obtain a line use value, and marking the number occupation ratio of the lines in use exceeding a preset total time length threshold value as a timeout line occupation value; and carrying out numerical calculation on the difficult-to-manage line occupation value, the line time value and the overtime line occupation value to obtain a power distribution network supervision value, carrying out numerical comparison on the power distribution network supervision value and a preset power distribution network supervision threshold value, and generating a power distribution network strong supervision signal if the power distribution network supervision value exceeds the preset power distribution network supervision threshold value.
Furthermore, the invention also provides a line loss control method for the power distribution network, which comprises the following steps:
step one, a line risk identification module divides a corresponding line into a plurality of sections, generates a risk early warning signal or a risk normal signal through analysis, sends the risk early warning signal to a remote monitoring end, and sends the risk normal signal to a line loss evaluation module;
analyzing the overall loss performance condition of the corresponding line by the line loss evaluation module, generating a loss early warning signal or a loss normal signal by analysis, and transmitting the loss early warning signal of the corresponding line to the remote monitoring end and the line optimization control module;
step three, after receiving the loss early warning signal, the line optimization control module determines a corresponding loss optimization strategy based on the running condition of the corresponding line, and sends an instruction to related equipment according to the determined loss optimization strategy, and executes corresponding loss optimization operation to reduce the line loss;
and step four, when the line optimization control module controls the related equipment to perform loss optimization operation on the corresponding line, the optimization checking and checking module analyzes the loss optimization effect of the corresponding line in the checking period, generates a control qualified signal or a control unqualified signal through analysis, and sends the control unqualified signal to the remote monitoring end.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the risk identification analysis is carried out on the corresponding line through the line risk identification module, the risk early warning signal or the risk normal signal is generated through the analysis, the reason investigation and the abnormal investigation and the repair are carried out on the corresponding line in time after the risk early warning signal is generated, the integral loss performance status of the corresponding line is analyzed through the line loss evaluation module after the risk normal signal is generated, the loss early warning signal or the loss normal signal is generated through the analysis, the corresponding loss optimization strategy is determined through the line optimization control module based on the operation status of the corresponding line after the loss early warning signal is generated, the corresponding loss optimization operation is carried out according to the determined loss optimization strategy to reduce the line loss, the intelligent regulation control on the line loss is realized, the line loss is reduced, the operation safety is guaranteed, and the automation and the intelligent degree are high;
2. according to the invention, when the line optimization control module controls the related equipment to perform loss optimization operation on the corresponding lines, the optimization checking and checking module analyzes the loss optimization effect of the corresponding lines in the checking period, generates a control qualified signal or a control unqualified signal through analysis, performs manual regulation and control according to the need when the control unqualified signal is generated, analyzes all the lines in the corresponding power distribution network through the power distribution network monitoring module to determine a difficult-to-control line and a easy-to-control line, judges whether to generate a power distribution network strong-monitoring signal, strengthens the monitoring strength of the power distribution network when the power distribution network strong-monitoring signal is generated, and further ensures safe and stable operation of all the lines in the power distribution network.
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For the convenience of those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a system block diagram of a first embodiment of the present invention;
FIG. 2 is a system block diagram of a second embodiment of the present invention;
fig. 3 is a flow chart of a method according to a third embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one: as shown in fig. 1, the line loss control system for a power distribution network provided by the invention comprises a power distribution network control platform, a line risk identification module, a line loss evaluation module, a line optimization control module, an optimization check module and a remote monitoring end, wherein the power distribution network control platform is in communication connection with the line risk identification module, the line loss evaluation module, the line optimization control module, the optimization check module and the remote monitoring end;
the line risk identification module divides the corresponding line into a plurality of segments, analyzes the segments to judge the risk degree of the corresponding segment, generates a risk early warning signal or a risk normal signal, sends the risk early warning signal to a remote monitoring end through a power distribution network control platform, sends out corresponding early warning when the remote monitoring end receives the risk early warning signal, and timely performs cause investigation and abnormal arrangement check repair on the corresponding line by a manager so as to ensure the operation safety of the corresponding line and be beneficial to reducing the overall operation risk of the power distribution network; the specific operation process of the line risk identification module is as follows:
acquiring loss data of each segment in the corresponding line of the detection period, and performing variance calculation on the loss data of all segments in the corresponding line to obtain a loss fluctuation detection value; the larger the value of the loss fluctuation detection value is, the larger the loss difference of each section on the line is, and the probability of abnormality of the line is larger; carrying out numerical comparison on the loss fluctuation detection value and a preset loss fluctuation detection threshold value, and generating a risk early warning signal if the loss fluctuation detection value exceeds the preset loss fluctuation detection threshold value;
if the loss fluctuation detection value does not exceed the preset loss fluctuation detection threshold, marking the corresponding segment in the line as a high-difference segment, a medium-difference segment or a low-difference segment through segment accurate judgment analysis, wherein the method specifically comprises the following steps: collecting the surface temperatures of all the sections in the corresponding line, and marking the excess value of the surface temperature of the corresponding section compared with the ambient temperature as the surface excess temperature; carrying out numerical calculation on the surface temperature FW, the surface overtemperature FK and the loss data FS of the corresponding segment through a formula FX= (b 1 x FW+b2 x FK)/2+b3 x FS to obtain a segment analysis value FX, wherein b1, b2 and b3 are preset proportionality coefficients, and the values of b1, b2 and b3 are positive numbers;
and, the larger the value of the segment analysis value FX, the worse the operation performance of the corresponding segment is indicated; comparing the segment analysis value FX with a preset segment analysis value range in a numerical value mode, and marking the corresponding segment as a high-difference segment if the segment analysis value FX exceeds the maximum value of the preset segment analysis value range and the running performance of the corresponding segment is extremely poor; if the segment analysis value FX does not exceed the minimum value of the preset segment analysis value range, indicating that the operation performance of the corresponding segment is good, marking the corresponding segment as a low-difference segment; if the segment analysis value FX is in the preset segment analysis value range, indicating that the operation performance of the corresponding segment is poor, marking the corresponding segment as a middle-different segment;
if the corresponding line has high-speed sections, which indicate that the overall operation condition of the line is poor, a risk early warning signal is generated; if no high-difference segment exists, marking the ratio of the number of the middle-difference segments on the corresponding line as a middle-difference segment analysis value, carrying out summation calculation on the segment analysis values of all the segments in the corresponding line and taking an average value to obtain a line analysis value, and carrying out numerical calculation on the line analysis value FR and the middle-difference segment analysis value FM through a formula FY=eq1 FR/eq2+eq2 to obtain a line risk analysis value FY; wherein, eq1 and eq2 are preset proportion coefficients, eq2 > eq1 > 0; and, the larger the numerical value of the line risk analysis value FY is, the worse the overall operation condition of the corresponding line is indicated; the line risk analysis value FY is compared with a preset line risk analysis threshold value in a numerical mode, and if the line risk analysis value FY exceeds the preset line risk analysis threshold value, a risk early warning signal is generated if the overall operation condition of the line is poor; if the line risk analysis value FY does not exceed the preset line risk analysis threshold value, indicating that the overall operation condition of the line is good, generating a risk normal signal.
The line risk identification module sends a risk normal signal to the line loss evaluation module through the power distribution network control platform, the line loss evaluation module analyzes the overall loss performance condition of the corresponding line when receiving the risk normal signal, generates a loss early warning signal or a loss normal signal through analysis, and sends the loss early warning signal of the corresponding line to the remote monitoring end and the line optimization control module through the power distribution network control platform, and the remote monitoring end sends corresponding early warning when receiving the loss early warning signal so as to enable a manager to master the line loss performance information in detail; the specific operation process of the line loss evaluation module is as follows:
the loss data of the corresponding segments are compared with a preset loss data threshold value in a numerical mode, if the loss data exceeds the preset loss data threshold value, the corresponding segments are marked as high-loss objects, and the ratio of the number of the high-loss objects to the number of the segments in the corresponding lines is marked as a high-loss road occupation value; the loss data of all the segments in the corresponding line are summed, the average value is obtained to obtain a loss analysis value, and the loss analysis value WS and the high-loss road occupation value WG are subjected to numerical calculation through a formula WF=c1 xWS+c2 xWG to obtain a line overall consumption evaluation value WF;
wherein, c1 and c2 are preset proportionality coefficients, and c2 is more than c1 and more than 0; and, the larger the value of the overall consumption evaluation value WF of the circuit is, the worse the loss performance of the corresponding circuit is indicated; comparing the overall line consumption value WF with a preset overall line consumption threshold value, and generating a loss early warning signal of a corresponding line if the overall line consumption value WF exceeds the preset overall line consumption threshold value; and if the line overall consumption evaluation value WF does not exceed the preset line overall consumption evaluation threshold, generating a loss normal signal of the corresponding line.
After receiving the loss early warning signal, the line optimization control module determines a corresponding loss optimization strategy based on the operation condition of the corresponding line, namely selects the corresponding loss optimization strategy, for example, if the line load is overweight, a method for adjusting the line load distribution can be adopted; if the line operation mode is unreasonable, a method for switching the line operation mode can be adopted; according to the determined loss optimization strategy, sending instructions to related equipment, executing corresponding loss optimization operation to reduce line loss, for example, adjusting a transformer tap, opening and closing a line switch and the like, realizing intelligent regulation and control of the line loss, being beneficial to reducing the line loss and ensuring the operation safety and high automation and intelligent degree;
when the line optimization control module controls the related equipment to perform loss optimization operation on the corresponding line, the optimization checking and checking module analyzes the loss optimization effect of the corresponding line in the checking period, generates a control qualified signal or a control unqualified signal through analysis, and sends the control unqualified signal to a remote monitoring end through a power distribution network control platform, the remote monitoring end sends corresponding early warning when receiving the control unqualified signal, and a manager can perform manual regulation and control as required or take other measures to adjust when receiving the early warning, so that the line loss is reduced and the operation safety is improved; the specific process of the optimization checking module is as follows:
taking the moment of starting the loss optimization operation as a time starting point, setting a checking period with the duration of L1, wherein L1 is an integer multiple of the duration of the detection period; acquiring the line overall consumption evaluation values of the corresponding lines in all detection periods in the checking period, establishing a rectangular coordinate system positioned in a first quadrant by taking time as an X axis and the line overall consumption evaluation values as a Y axis, marking the rectangular coordinate system as an optimized effect coordinate system, and generating a plurality of checking points in the optimized effect coordinate system based on the line overall consumption evaluation values of the corresponding lines in all detection periods in the checking period;
summing up the ordinate of all check points, calculating and taking an average value, and subtracting the average value result from the overall line consumption evaluation value of the adjacent detection period before the optimization is started to obtain an optimized effective measurement value; the larger the value of the optimization efficiency measurement value is, the better the loss optimization condition of the corresponding line is indicated, the optimization efficiency measurement value is compared with a preset optimization efficiency measurement threshold value in a numerical mode, and if the optimization efficiency measurement value does not exceed the preset optimization efficiency measurement threshold value, the worse the loss optimization condition of the corresponding line is indicated, and a control disqualification signal is generated.
Further, if the optimization efficiency measurement value exceeds a preset optimization efficiency measurement threshold value, a judgment ray which is parallel to the X axis and has an endpoint on the Y axis is made in the optimization effect coordinate system, and the Y axis coordinate value of the judgment ray is the line overall consumption evaluation value of the adjacent detection period before the optimization is started; marking the number of the check points below the judging rays in the optimization effect coordinate system as an optimal check detection value, marking the first check point below the judging rays as an optimal point, and calculating the time difference between the time intermediate value of the detection period corresponding to the optimal point and the time when the loss optimization operation starts to obtain the optimal effect duration;
connecting two adjacent groups of check points in the optimization effect coordinate system one by one through line segments, marking the line segments with descending trend as the top list line segments, and marking the number occupation ratio of the top list line segments as the top list segment occupation value; by the formulaPerforming numerical calculation on the optimal checking detection value HR, the optimal effect duration HS, the optimal table segment occupation value HZ and the optimal effect measurement value HY to obtain an optimal checking detection value HX, wherein the values of ty1, ty2, ty3 and ty4 are all larger than zero and are preset proportional coefficients;
and the larger the value of the optimization checking test value HX is, the better the loss optimization effect of the corresponding line is shown; comparing the optimized checking value HX with a preset optimized checking threshold value, and generating a control qualified signal if the optimized checking value HX exceeds the preset optimized checking threshold value, which indicates that the loss optimizing effect for the corresponding line is good; if the optimization checking value HX does not exceed the preset optimization checking threshold value, the loss optimization effect of the corresponding line is poor, and a control disqualification signal is generated.
Embodiment two: as shown in fig. 2, the difference between the present embodiment and embodiment 1 is that the power distribution network control platform is in communication connection with the power distribution network supervision module, the power distribution network supervision module obtains the line to be supervised, and marks the corresponding line as i, where i is a natural number greater than 1; the circuit i is marked as a difficult-to-manage circuit or an easy-to-manage circuit through analysis, whether a strong power distribution network supervision signal is generated or not is judged, the strong power distribution network supervision signal and marking information of the circuit i are sent to a remote supervision terminal through a power distribution network control platform, management staff subsequently strengthen the management of the difficult-to-manage circuit, and the supervision intensity of the power distribution network is strengthened when the strong power distribution network supervision signal is received, so that the safe and stable operation of all circuits in the power distribution network is guaranteed; the specific operation process of the power distribution network supervision module is as follows:
setting a supervision period, preferably fifteen days; the method comprises the steps that the number of times that a risk early warning signal is generated, the number of times that a loss early warning signal is generated and the number of times that a control disqualification signal is generated in a monitoring period of a line i are collected and marked as a risk alarm value, a loss alarm value and a control disqualification value respectively; and performing numerical calculation on the risk alarm value XFi, the loss alarm value XPi and the control analysis value XKi by a formula xbi= (a1× XFi +a2×xpi+a3× XKi)/3 to obtain a line representation value XBi, wherein a1, a2 and a3 are preset proportionality coefficients, and a1 > a3 > a2 > 0; and the larger the value of the line expression value XBI is, the worse the line i is in the monitoring period, the more difficult the line i is to be controlled;
the line representation value XBI is compared with a preset line representation threshold value in a numerical value, if the line representation value XBI exceeds the preset line representation threshold value, the line i is shown to be relatively poor in performance of a monitoring period and difficult to manage, and the monitoring management of the line i is required to be enhanced later, the line i is marked as a difficult-to-manage line; if the line representation value XBI does not exceed the preset line representation threshold, the line i is indicated to have better performance in the monitoring period and is easier to manage, and the line i is marked as an easy-to-manage line.
Further, after marking the line i as a difficult-to-control line or an easy-to-control line, collecting the number ratio of the difficult-to-control lines in the line to be monitored and marking the number ratio as a difficult-to-control line ratio, and collecting the total time length of all the lines in use, wherein the total time length of the line in use is a data value representing the size of the corresponding line i from the beginning of the line in use to the interval of the current date; the average value calculation is carried out on the total time length of all the circuits to obtain a circuit time value, and the number occupation ratio of the circuits with the total time length exceeding the preset total time length threshold value is marked as a timeout line occupation value;
by the formulaCarrying out numerical calculation on the difficult control line occupation value PK, the line use time value PY and the timeout line occupation value PW to obtain a power distribution network supervision value PX, wherein, ew1, ew2 and ew3 are preset ratiosExample coefficients, w3 > w1 > w2 > 0; moreover, the larger the value of the power distribution network supervision value PX is, the more difficult the power distribution network is to supervise; and carrying out numerical comparison on the power distribution network supervision value PX and a preset power distribution network supervision threshold value, and if the power distribution network supervision value PX exceeds the preset power distribution network supervision threshold value, indicating that the power distribution network is difficult to supervise, generating a power distribution network strong supervision signal.
Embodiment III: as shown in fig. 3, the difference between the present embodiment and embodiments 1 and 2 is that the line loss control method for a power distribution network according to the present invention includes the following steps:
step one, a line risk identification module divides a corresponding line into a plurality of sections, generates a risk early warning signal or a risk normal signal through analysis, sends the risk early warning signal to a remote monitoring end, and sends the risk normal signal to a line loss evaluation module;
analyzing the overall loss performance condition of the corresponding line by the line loss evaluation module, generating a loss early warning signal or a loss normal signal by analysis, and transmitting the loss early warning signal of the corresponding line to the remote monitoring end and the line optimization control module;
step three, after receiving the loss early warning signal, the line optimization control module determines a corresponding loss optimization strategy based on the running condition of the corresponding line, and sends an instruction to related equipment according to the determined loss optimization strategy, and executes corresponding loss optimization operation to reduce the line loss;
and step four, when the line optimization control module controls the related equipment to perform loss optimization operation on the corresponding line, the optimization checking and checking module analyzes the loss optimization effect of the corresponding line in the checking period, generates a control qualified signal or a control unqualified signal through analysis, and sends the control unqualified signal to the remote monitoring end.
The working principle of the invention is as follows: when the intelligent monitoring system is used, risk identification analysis is carried out on a corresponding line through a line risk identification module, a risk early warning signal or a risk normal signal is generated through analysis, cause investigation and abnormal investigation and repair are carried out on the corresponding line in time after the risk early warning signal is generated, the overall loss performance condition of the corresponding line is analyzed through a line loss evaluation module after the risk normal signal is generated, the loss early warning signal or the loss normal signal is generated through analysis, a corresponding loss optimization strategy is determined through a line optimization control module based on the operation condition of the corresponding line after the loss early warning signal is generated, corresponding loss optimization operation is carried out according to the determined loss optimization strategy to reduce line loss, intelligent regulation control on the line loss is realized, the line loss is reduced, operation safety is guaranteed, and the automation and intelligent degree are high; and when the line optimization control module controls the related equipment to perform loss optimization operation on the corresponding line, the optimization checking and checking module analyzes the loss optimization effect of the corresponding line in the checking period, generates a control qualified signal or a control unqualified signal through analysis, and performs manual regulation and control as required when the control unqualified signal is generated, thereby being beneficial to reducing the line loss and improving the operation safety of the line.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation. The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (10)
1. The line loss control system for the power distribution network is characterized by comprising a power distribution network control platform, a line risk identification module, a line loss evaluation module, a line optimization control module, an optimization check module and a remote monitoring end; the line risk identification module divides the corresponding line into a plurality of segments, judges the risk degree of the corresponding segment through analysis, generates a risk early warning signal or a risk normal signal, sends the risk early warning signal to a remote monitoring end through a power distribution network control platform, and sends the risk normal signal to the line loss evaluation module through the power distribution network control platform;
when the line loss evaluation module receives the risk normal signal, analyzing the overall loss performance condition of the corresponding line, generating a loss early warning signal or a loss normal signal through analysis, and transmitting the loss early warning signal of the corresponding line to the remote monitoring end and the line optimization control module through the power distribution network control platform;
after receiving the loss early warning signal, the line optimization control module determines a corresponding loss optimization strategy based on the running condition of the corresponding line, and sends an instruction to related equipment according to the determined loss optimization strategy, and executes corresponding loss optimization operation to reduce the line loss; when the line optimization control module controls the related equipment to perform loss optimization operation on the corresponding line, the optimization checking and checking module analyzes the loss optimization effect of the corresponding line in a checking period, generates a control qualified signal or a control unqualified signal through analysis, and sends the control unqualified signal to a remote monitoring end through the power distribution network control platform.
2. A line loss control system for an electrical distribution network according to claim 1, wherein the specific operation of the line risk identification module comprises:
acquiring loss data of each segment in the corresponding line of the detection period, and performing variance calculation on the loss data of all segments in the corresponding line to obtain a loss fluctuation detection value; if the loss fluctuation detection value exceeds a preset loss fluctuation detection threshold value, generating a risk early warning signal; if the loss fluctuation detection value does not exceed the preset loss fluctuation detection threshold value, marking the corresponding section in the line as a high-difference section, a medium-difference section or a low-difference section through section accurate judgment analysis, and if the high-difference section exists on the corresponding line, generating a risk early warning signal;
if the high-speed abnormal section does not exist, marking the ratio of the number of the abnormal sections on the corresponding line as an abnormal section analysis value, carrying out summation calculation on the section analysis values of all the sections in the corresponding line, taking an average value to obtain a line evaluation value, and carrying out numerical calculation on the line evaluation value and the abnormal section analysis value to obtain a line risk analysis value; if the line risk analysis value exceeds a preset line risk analysis threshold value, generating a risk early warning signal; and if the line risk analysis value does not exceed the preset line risk analysis threshold value, generating a risk normal signal.
3. A line loss control system for a power distribution network according to claim 2, wherein the specific analysis procedure of the segmentation accurate judgment analysis is as follows:
collecting the surface temperatures of all the sections in the corresponding line, and marking the excess value of the surface temperature of the corresponding section compared with the ambient temperature as the surface excess temperature; carrying out numerical calculation on the surface temperature, the overtemperature and the loss data of the corresponding segment to obtain a segment analysis value, and marking the corresponding segment as a high-difference segment if the segment analysis value exceeds the maximum value of a preset segment analysis value range; if the segment analysis value does not exceed the minimum value of the preset segment analysis value range, marking the corresponding segment as a low-difference segment; if the segment analysis value is within the preset segment analysis value range, the corresponding segment is marked as a middle-different segment.
4. A line loss control system for a power distribution network according to claim 1, wherein the line loss evaluation module operates as follows:
the loss data of the corresponding segments are compared with a preset loss data threshold value in a numerical mode, if the loss data exceeds the preset loss data threshold value, the corresponding segments are marked as high-loss objects, and the ratio of the number of the high-loss objects to the number of the segments in the corresponding lines is marked as a high-loss road occupation value; the loss data of all the segments in the corresponding line are summed, the average value is obtained to obtain a loss analysis value, the loss analysis value and the high-loss road occupation value are subjected to numerical calculation to obtain a line overall consumption evaluation value, and if the line overall consumption evaluation value exceeds a preset line overall consumption evaluation threshold value, a loss early warning signal of the corresponding line is generated; and if the line overall consumption evaluation value does not exceed the preset line overall consumption evaluation threshold value, generating a loss normal signal of the corresponding line.
5. A line loss control system for a power distribution network according to claim 1, wherein the specific procedure of the optimization check module is as follows:
taking the moment of starting the loss optimization operation as a time starting point, setting a checking period with the duration of L1, wherein L1 is an integer multiple of the duration of the detection period; acquiring the line overall consumption evaluation values of the corresponding lines in all detection periods in the checking period, establishing a rectangular coordinate system positioned in a first quadrant by taking time as an X axis and the line overall consumption evaluation values as a Y axis, marking the rectangular coordinate system as an optimized effect coordinate system, and generating a plurality of checking points in the optimized effect coordinate system based on the line overall consumption evaluation values of the corresponding lines in all detection periods in the checking period;
summing up the ordinate of all check points, calculating and taking an average value, and subtracting the average value result from the overall line consumption evaluation value of the adjacent detection period before the optimization is started to obtain an optimized effective measurement value; and if the optimal efficiency measurement value does not exceed the preset optimal efficiency measurement threshold value, generating a control disqualification signal.
6. The line loss control system for a power distribution network according to claim 5, wherein if the optimization efficiency measurement value exceeds a preset optimization efficiency measurement threshold value, a judgment ray parallel to the X-axis and having an end point on the Y-axis is made in the optimization efficiency coordinate system, and the Y-axis coordinate value of the judgment ray is the line overall loss evaluation value of the adjacent detection period before the optimization is started; marking the number of the check points below the judging rays in the optimization effect coordinate system as an optimal check detection value, marking the first check point below the judging rays as an optimal point, and calculating the time difference between the time intermediate value of the detection period corresponding to the optimal point and the time when the loss optimization operation starts to obtain the optimal effect duration;
connecting two adjacent groups of check points in the optimization effect coordinate system one by one through line segments, marking the line segments with descending trend as the top list line segments, and marking the number occupation ratio of the top list line segments as the top list segment occupation value; performing numerical calculation on the optimal checking detection value, the optimal effect duration, the optimal table segment occupation value and the optimal effect measurement value to obtain an optimal checking detection value, and generating a control qualified signal if the optimal checking detection value exceeds a preset optimal checking threshold value; and if the optimization checking check value does not exceed the preset optimization checking threshold value, generating a control disqualification signal.
7. The line loss control system for a power distribution network according to claim 1, wherein the power distribution network control platform is in communication connection with a power distribution network supervision module, the power distribution network supervision module obtains a line to be supervised, and marks the corresponding line as i, wherein i is a natural number greater than 1; the circuit i is marked as a difficult-to-control circuit or an easy-to-control circuit through analysis, whether a strong power distribution network supervision signal is generated or not is judged, and the strong power distribution network supervision signal and marking information of the circuit i are sent to a remote supervision terminal through a power distribution network control platform.
8. The line loss control system for a power distribution network of claim 7, wherein the specific operation of the power distribution network supervision module comprises:
setting a supervision period, and acquiring the number of times that a line i generates a risk early warning signal, the number of times that a loss early warning signal and the number of times that a control failure signal are generated in the supervision period, and marking the risk early warning signal, the loss early warning signal and the control failure signal as a risk alarm value, a loss alarm value and a control failure value respectively; carrying out numerical calculation on the risk alarm value, the loss alarm value and the control abnormal analysis value to obtain a line representation value, and marking the line i as a line difficult to manage if the line representation value exceeds a preset line representation threshold; if the line representation value does not exceed the preset line representation threshold, marking the line i as an easy-to-manage line.
9. The line loss control system for a power distribution network according to claim 8, wherein after marking a line i as a difficult-to-control line or a easy-to-control line, the number of the difficult-to-control lines in the line to be monitored is collected as a difficult-to-control line occupation value, the total time length of all the lines is collected, the average value of the total time length of all the lines is calculated to obtain a line use value, and the number of the lines whose total time length of the use exceeds a preset total time length threshold value is marked as a timeout line occupation value; and carrying out numerical calculation on the difficult-to-manage line occupation value, the line use value and the overtime line occupation value to obtain a power distribution network supervision value, and generating a power distribution network strong supervision signal if the power distribution network supervision value exceeds a preset power distribution network supervision threshold.
10. A line loss control method for a power distribution network, characterized in that the line loss control method employs the line loss control system for a power distribution network according to any one of claims 1 to 9.
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Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008157626A (en) * | 2006-12-20 | 2008-07-10 | Japan Atomic Energy Agency | Apparatus for diagnosing abnormality in transmission system for high power millimeter waves |
| KR20120094337A (en) * | 2011-02-16 | 2012-08-24 | 한국에너지기술연구원 | Losses yield method of grid-connected photovoltaic system and apparatus thereof |
| US20150088440A1 (en) * | 2012-05-29 | 2015-03-26 | Tokyo Electron Limited | Solar power generation monitoring method and solar power generation monitoring system |
| CN108828414A (en) * | 2018-04-11 | 2018-11-16 | 上海海能信息科技有限公司 | A kind of power distribution network suspended insulated guide wire dynamic current-carrying capability appraisal procedure and system |
| EP3531580A1 (en) * | 2018-02-21 | 2019-08-28 | ADVA Optical Networking SE | A method and apparatus for optimizing dynamically the operation of an optical network |
| RU2729173C1 (en) * | 2019-11-28 | 2020-08-04 | Федеральное государственное бюджетное образовательное учреждение высшего образования "Уфимский государственный нефтяной технический университет" | Method of assessing the technical state of a cable line |
| CN114240671A (en) * | 2021-12-13 | 2022-03-25 | 国网内蒙古东部电力有限公司经济技术研究院 | Cost optimization method based on reduction of transmission network loss of power distribution network line |
| KR20220049390A (en) * | 2020-10-14 | 2022-04-21 | (주) 티이에프 | Apparatus and method for automatically monitoring the condition of facilities by integrated management of the data collected from the solar power generation system |
| CN114430199A (en) * | 2022-04-01 | 2022-05-03 | 山东汇能电气有限公司 | Cubical switchboard operation supervisory systems based on big data |
| CN114971173A (en) * | 2022-04-18 | 2022-08-30 | 国网安徽省电力有限公司电力科学研究院 | Transmission of electricity panorama wisdom management and control platform based on internet of things |
| CN115498764A (en) * | 2022-09-15 | 2022-12-20 | 东营金丰正阳科技发展有限公司 | Oil well control cabinet with electric control system |
| CN116300652A (en) * | 2023-04-06 | 2023-06-23 | 合肥元贞电力科技股份有限公司 | Power control cabinet on-line monitoring system based on data analysis |
| CN117057670A (en) * | 2023-09-21 | 2023-11-14 | 江西嘉和物业有限公司 | Property intelligent energy management system based on Internet of things |
| CN117113044A (en) * | 2023-09-08 | 2023-11-24 | 国网湖北省电力有限公司电力科学研究院 | Intelligent prediction analysis method and system for power grid line loss |
| CN117424353A (en) * | 2023-12-19 | 2024-01-19 | 国网山西省电力公司营销服务中心 | State evaluation system based on power distribution network multivariate measurement data fusion |
-
2024
- 2024-02-02 CN CN202410146729.3A patent/CN117691596B/en active Active
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008157626A (en) * | 2006-12-20 | 2008-07-10 | Japan Atomic Energy Agency | Apparatus for diagnosing abnormality in transmission system for high power millimeter waves |
| KR20120094337A (en) * | 2011-02-16 | 2012-08-24 | 한국에너지기술연구원 | Losses yield method of grid-connected photovoltaic system and apparatus thereof |
| US20150088440A1 (en) * | 2012-05-29 | 2015-03-26 | Tokyo Electron Limited | Solar power generation monitoring method and solar power generation monitoring system |
| EP3531580A1 (en) * | 2018-02-21 | 2019-08-28 | ADVA Optical Networking SE | A method and apparatus for optimizing dynamically the operation of an optical network |
| CN108828414A (en) * | 2018-04-11 | 2018-11-16 | 上海海能信息科技有限公司 | A kind of power distribution network suspended insulated guide wire dynamic current-carrying capability appraisal procedure and system |
| RU2729173C1 (en) * | 2019-11-28 | 2020-08-04 | Федеральное государственное бюджетное образовательное учреждение высшего образования "Уфимский государственный нефтяной технический университет" | Method of assessing the technical state of a cable line |
| KR20220049390A (en) * | 2020-10-14 | 2022-04-21 | (주) 티이에프 | Apparatus and method for automatically monitoring the condition of facilities by integrated management of the data collected from the solar power generation system |
| CN114240671A (en) * | 2021-12-13 | 2022-03-25 | 国网内蒙古东部电力有限公司经济技术研究院 | Cost optimization method based on reduction of transmission network loss of power distribution network line |
| CN114430199A (en) * | 2022-04-01 | 2022-05-03 | 山东汇能电气有限公司 | Cubical switchboard operation supervisory systems based on big data |
| CN114971173A (en) * | 2022-04-18 | 2022-08-30 | 国网安徽省电力有限公司电力科学研究院 | Transmission of electricity panorama wisdom management and control platform based on internet of things |
| CN115498764A (en) * | 2022-09-15 | 2022-12-20 | 东营金丰正阳科技发展有限公司 | Oil well control cabinet with electric control system |
| CN116300652A (en) * | 2023-04-06 | 2023-06-23 | 合肥元贞电力科技股份有限公司 | Power control cabinet on-line monitoring system based on data analysis |
| CN117113044A (en) * | 2023-09-08 | 2023-11-24 | 国网湖北省电力有限公司电力科学研究院 | Intelligent prediction analysis method and system for power grid line loss |
| CN117057670A (en) * | 2023-09-21 | 2023-11-14 | 江西嘉和物业有限公司 | Property intelligent energy management system based on Internet of things |
| CN117424353A (en) * | 2023-12-19 | 2024-01-19 | 国网山西省电力公司营销服务中心 | State evaluation system based on power distribution network multivariate measurement data fusion |
Non-Patent Citations (1)
| Title |
|---|
| 张衡，温志伟: "CBTC系统漏泄同轴电缆路径损耗测试与分析", 《现代城市轨道交通》, 31 December 2014 (2014-12-31), pages 75 - 78 * |
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