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CN115659098A - Distributed new energy consumption capacity calculation method, device, equipment and medium - Google Patents

Distributed new energy consumption capacity calculation method, device, equipment and medium Download PDF

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Publication number
CN115659098A
CN115659098A CN202211230445.XA CN202211230445A CN115659098A CN 115659098 A CN115659098 A CN 115659098A CN 202211230445 A CN202211230445 A CN 202211230445A CN 115659098 A CN115659098 A CN 115659098A
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new energy
distributed new
distributed
power
energy consumption
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祁宏
于杰
焦阳
刘开欣
王进贤
杨学涛
吴钢
邹乐
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
State Grid Beijing Electric Power Co Ltd
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
State Grid Beijing Electric Power Co Ltd
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Abstract

The invention discloses a distributed new energy consumption capacity calculation method, a distributed new energy consumption capacity calculation device, distributed new energy consumption capacity calculation equipment and a distributed new energy consumption capacity calculation medium, wherein the distributed new energy consumption capacity calculation method comprises the steps of obtaining unit information capable of participating in balancing distributed new energy power fluctuation, and calculating a first distributed new energy access limit value under the constraint of unit regulation capacity; acquiring information of a transformer of a target sub-network uploading channel with distributed power access, and calculating a second distributed new energy access limit value under the constraint of transformer capacity; establishing an optimization model by using the maximum distributed new energy consumption of the power distribution network as an objective function, and solving the optimization model on the premise of meeting the constraint conditions of the voltage range and the current-carrying capacity of the power distribution network to obtain a third distributed new energy access limit value constrained by the voltage range and the current-carrying capacity of the power distribution network; and selecting the minimum value as the current power grid distributed new energy access limit value. According to the scheme, multiple constraints such as system peak regulation, transformer capacity, power and electric quantity balance and power distribution network load flow are considered, and the method has the advantages of being high in calculating speed and high in accuracy.

Description

Distributed new energy consumption capacity calculation method, device, equipment and medium
Technical Field
The invention belongs to the technical field of distributed new energy power generation of a power system, and particularly relates to a distributed new energy consumption capacity calculation method, device, equipment and medium.
Background
The new energy is accessed into the power grid in a converging centralized access and a dispersing distributed access mode, and along with the development of novel power generation technologies including renewable energy sources such as wind power and photovoltaic and efficient and clean fuel, a distributed power generation system gradually becomes an effective way for meeting the load increase, reducing the environmental pollution and improving the comprehensive utilization efficiency and the power supply reliability of the energy, and is widely applied to a power distribution network. However, grid connection of the distributed power supply also brings some problems to the aspects of safety, reliability and the like of the power system, and becomes a restriction factor for limiting new energy consumption. The grid structure of the current power system is not enough to support the access of new energy with such a large scale and high proportion, the installation scale of the new energy exceeds the limit level which can be accepted by the current system, the phenomenon of electricity abandonment of the new energy is frequent, and the waste of wind and light resources is serious. Therefore, in order to reduce the power abandonment rate of new energy, multiple constraints of a power grid need to be considered, the new energy consumption capability of the system needs to be accurately evaluated, planning and development of the new energy and a future power system are guided, and the safety of the power grid is promoted. Reliable and economic operation has important significance.
At present, common methods for evaluating the consumption capacity of new energy are mainly divided into three types: typical day method, random production simulation method and time sequence simulation method. When the method is used for online calculation, network equivalent calculation needs to be carried out on each load node, the calculation amount is large, the required time is long, and therefore the method needs support of a new method. The scheduling method proposed based on the typical daily method is a conservative method, usually considering the balance condition of new energy under the most severe condition, and the calculation result of the method is more conservative. The random production simulation method cannot consider factors such as climbing performance and peak regulation capacity, and has certain limitation. The time sequence production simulation method is widely applied to the evaluation of the new energy consumption capability, but has large calculation amount, long time consumption and low calculation efficiency.
Disclosure of Invention
The invention aims to provide a distributed new energy consumption capability calculation method, a distributed new energy consumption capability calculation device, distributed new energy consumption capability calculation equipment and a distributed new energy consumption capability calculation medium, and aims to solve the problem that a new energy consumption capability evaluation method in the prior art is low in calculation efficiency.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the invention provides a distributed new energy consumption capacity calculation method, which includes the following steps:
acquiring unit information capable of participating in balancing distributed new energy power fluctuation;
calculating to obtain a first distributed new energy access limit value under the constraint of the unit adjusting capacity based on the unit information;
acquiring information of an uploading channel transformer of a target sub-network accessed by a distributed power supply;
calculating to obtain a second distributed new energy access limit value under the constraint of transformer capacity based on the transformer information of the uploading channel of the target sub-network;
establishing an optimization model by taking the maximum distributed new energy consumption of the power distribution network as an objective function, and solving the optimization model on the premise of meeting the constraint conditions of the voltage range and the current carrying capacity of the power distribution network to obtain a third distributed new energy access limit value of the voltage range and the current carrying capacity of the power distribution network;
and selecting the minimum value of the first distributed new energy access limit value, the second distributed new energy access limit value and the third distributed new energy access limit value as the current power grid distributed new energy access limit value.
Further, the first distributed new energy access limit value S Ua The calculation of (c) is as follows:
S Ua =S adj +S bal
wherein S is adj The method comprises the steps of considering the distributed new energy consumption capacity constrained by the regulation capacity of a local unit; s bal The method is a distributed new energy consumption capability considering adjacent external power grid unit regulation capability constraint.
Further, the distributed new energy consumption capability S considering the constraint of the adjusting capability of the local unit adj The calculation method is as follows:
Figure BDA0003880900490000021
wherein, P ps,max The maximum regulation capacity of the power grid is obtained; j is a local unit number which can participate in balancing the power fluctuation of the distributed new energy; m is the total number of local units which can participate in balancing the power fluctuation of the distributed new energy; p is max,j The maximum output is given to the jth unit; p min,j The minimum output force of the jth unit is obtained; a. The ps,j The adjustment range of the jth unit.
Further, the distributed new energy consumption capability S considering the regulation capability constraint of the adjacent external power grid unit bal The calculation method is as follows:
Figure BDA0003880900490000022
mu is the maximum power fluctuation coefficient of the distributed new energy; p ls External adjacent grid unit reserve capacity is used to support the target grid for the year of operation.
Further, the operation year is used for supporting the standby capacity P of the external adjacent power grid unit of the target power grid ls Calculated as follows:
P ls =λ*P ic
wherein, P ic And lambda is the unit spare capacity coefficient, which is the total installed capacity of the external adjacent power grid in the operating year.
Further, a second distributed new energy access limit value S under the constraint of transformer capacity Tran The calculation method is as follows:
Figure BDA0003880900490000031
wherein i =1, \8230, n denotes the ith target subnet with distributed power access; n represents the number of target subnets with distributed power supply access; p DG,max The maximum value of the grid-connected capacity of the distributed power supply is obtained; p trans,i Transmitting the capacity of a channel transformer to the ith target sub-network to which the distributed power supply is connected; p disLoad,i The load value of the ith target subnet accessed by the distributed power supply is obtained; p is disLoss,i And the network loss of the ith target sub-network accessed by the distributed power supply.
Further, the objective function and the constraint condition of the distributed new energy consumption of the power distribution network are as follows:
Figure BDA0003880900490000041
Figure BDA0003880900490000042
wherein Z =1, \8230, k denotes the Z-th target subnet with distributed power access; k represents the number of target subnets with distributed power supply access; b represents a Zth target subnet node set, and E represents a Zth target subnet branch set; p G,Z,j The active power of the distributed power supply at the Z-th target sub-network node j is obtained; v Z,i 、V Z,j Representing the voltage amplitude of the Z-th target subnet node i, j; p is Z,ij 、Q Z,ij The active power and the reactive power of the Z-th target sub-network branch i and j are represented; l Z,ij 、u Z,j Is an intermediate variable; p is Z,Gi 、Q Z,Gi The active and reactive power output of the generator i of the Z-th target sub-network is obtained; p Z,Di 、Q Z,Di The active and reactive loads of the Z-th target sub-network node i are obtained; theta i Voltage phase angle of a Z-th target sub-network node i; theta Z,ij =θ Z,iZ,j ;G Z,ij 、B Z,ij Real parts and imaginary parts of ith row and jth column elements of the Z-th target subnet node admittance array;
Figure BDA0003880900490000043
respectively representing the upper limit and the lower limit of the voltage amplitude of the Z-th target subnet node j;
Figure BDA0003880900490000044
represents the maximum allowable current of the Z-th target sub-network branch i, j;
Figure BDA0003880900490000051
P Z,Gi respectively setting the upper and lower bound values of the active output of the power supply of the Z-th target sub-network;
Figure BDA0003880900490000052
Q Z,Gi and the power reactive output upper and lower bound values are the Z-th target sub-network power supply reactive output upper and lower bound values.
In a second aspect, the present invention provides a distributed new energy consumption capability calculation apparatus, including:
the first acquisition module is used for acquiring unit information capable of participating in balancing distributed new energy power fluctuation;
the first calculation module is used for calculating to obtain a first distributed new energy access limit value under the constraint of the regulating capacity of the unit based on the unit information;
the second acquisition module is used for acquiring information of the transformer of the transmission channel of the target sub-network accessed by the distributed power supply;
the second calculation module is used for calculating a second distributed new energy access limit value under the constraint of transformer capacity based on the information of the channel transformer uploaded by the target sub-network;
the model solving module is used for establishing an optimization model by taking the maximum distributed new energy consumption of the power distribution network as an objective function, solving the optimization model on the premise of meeting the constraint conditions of the voltage range and the current-carrying capacity of the power distribution network, and obtaining a third distributed new energy access limit value of the voltage range and the current-carrying capacity constraint of the power distribution network;
and the comparison module is used for selecting the minimum value of the first distributed new energy access limit value, the second distributed new energy access limit value and the third distributed new energy access limit value as the current power grid distributed new energy access limit value.
In a third aspect, the present invention provides an electronic device comprising a processor and a memory, wherein the processor is configured to execute a computer program stored in the memory to implement the distributed new energy consumption capability calculation method.
In a fourth aspect, the present invention provides a computer-readable storage medium storing at least one instruction, which when executed by a processor, implements the distributed new energy absorption capacity calculation method described above.
Compared with the prior art, the invention has the following beneficial effects:
according to the distributed new energy consumption capacity calculation method, multiple constraints of a transmission network and a distribution network are considered, and a first distributed new energy access limit value under the constraint of the regulating capacity of a computer set and a second distributed new energy access limit value under the constraint of the capacity of a transformer are calculated; establishing an optimization model by using the maximum distributed new energy consumption of the power distribution network as an objective function, and solving the optimization model on the premise of meeting the constraint conditions of the voltage range and the current-carrying capacity of the power distribution network to obtain a third distributed new energy access limit value constrained by the voltage range and the current-carrying capacity of the power distribution network; and selecting the minimum value of the first distributed new energy access limit value, the second distributed new energy access limit value and the third distributed new energy access limit value as the current power grid distributed new energy access limit value. Multiple constraints such as system peak regulation, transformer capacity, power and electric quantity balance and power distribution network load flow are considered, and the method has the advantages of being high in calculating speed and accuracy.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic flow chart of a distributed new energy consumption calculation method according to the present invention;
FIG. 2 is a block diagram of a distributed new energy consumption calculation apparatus according to the present invention;
fig. 3 is a block diagram of an electronic device according to the present invention.
Detailed Description
The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
The following detailed description is exemplary in nature and is intended to provide further explanation of the invention as claimed. Unless otherwise defined, all technical terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention.
Example 1
As shown in fig. 1, the present invention provides a distributed new energy consumption calculation method, including the following steps:
s1, acquiring unit information capable of participating in balancing distributed new energy power fluctuation;
specifically, in the scheme, the unit information capable of participating in balancing the distributed new energy power fluctuation is provided through a pre-constructed transmission and distribution network integrated digital model, a target power grid range to be researched is selected, and the local unit information capable of participating in balancing the distributed new energy power fluctuation is extracted.
The integrated digital model of the transmission and distribution network comprises component models of the transmission and distribution network and equipment operation limit parameters. The transmission network and distribution network element model comprises transmission line parameters (resistance, reactance, conductance, susceptance), transformer parameters (leakage reactance, transformation ratio, tap position), generator node parameters (active and reactive power output values), and load node parameters (active and reactive values); generator and reserve capacity data;
the equipment operation limit parameters include: line rated current, transformer rated capacity, generator maximum output (active maximum output and reactive maximum output).
S2, calculating to obtain a first distributed new energy access limit value S under the constraint of unit adjusting capacity based on the unit information Ua (ii) a Specifically, the first distributed new energy access limit value S Ua The calculation method of (c) is as follows:
Figure BDA0003880900490000061
wherein S is adj The distributed new energy consumption capability is constrained by considering the adjustment capability of the local unit; p ps,max The maximum regulation capacity of the power grid is obtained; j is a local unit number which can participate in balancing the power fluctuation of the distributed new energy; m is the total number of local units which can participate in balancing the power fluctuation of the distributed new energy; p max,j The maximum output of the jth unit is obtained; p min,j The minimum output force of the jth unit is set; a. The ps,j The adjustment range of the jth unit.
Calculating the rotating reserve capacity which can be used by the adjacent external power grid for balancing the power fluctuation of the distributed power supply of the target power grid according to the total installed capacity of the external adjacent power grids in the operating year:
P ls =λ*P ic (2)
wherein, P ic Total installed capacity of external adjacent power grids for the operating year; p ls Reserve capacity of external adjacent grid units used to support the target grid for the operating year; and lambda is the unit spare capacity coefficient, and is generally 5% according to engineering experience or is set according to an actual power grid.
Calculating the distributed new energy consumption capacity considering the regulation capacity constraint of the adjacent external power grid units:
Figure BDA0003880900490000071
wherein mu is the maximum power fluctuation coefficient of the distributed new energy; s bal The method is a distributed new energy consumption capability considering adjacent external power grid unit regulation capability constraint.
Therefore, the distributed new energy consumption capability S comprehensively considering the regulation capability constraint of the external unit and the internal unit of the target power grid Ua The calculation is as follows:
S Ua =S adj +S bal (4)
wherein S is adj The distributed new energy consumption capability is constrained by considering the adjustment capability of the local unit; s bal The method is a distributed new energy consumption capability considering adjacent external power grid unit regulation capability constraint.
S3, acquiring information of an uploading channel transformer of a target sub-network accessed by the distributed power supply;
specifically, in the scheme, the information of the transformer of the transmission channel and the distribution channel of the target sub-network with the distributed power supply access is provided through the pre-constructed integrated digital model of the transmission network and the distribution network. Based on an integrated digital model, selecting a target power grid range to be accessed by the distributed power supply, and extracting the capacity of a transformer of an uploading channel of a target sub-network accessed by the distributed power supply in the target power grid.
S4, based on the targetTransmitting channel transformer information on the sub-network, and calculating to obtain a second distributed new energy access limit value S under the constraint of transformer capacity Tran (ii) a Specifically, the second distributed new energy access limit value S under the constraint of the transformer capacity Tran The calculation method is as follows:
Figure BDA0003880900490000081
wherein i =1, \8230;, n denotes the i-th target subnet with distributed power access (the target subnet is part of the target grid); n represents the number of target subnets with distributed power supply access; p DG,max The maximum value of the grid-connected capacity of the distributed power supply is obtained; p trans,i Sending the capacity of a channel transformer to the ith target sub-network to which the distributed power supply is connected; p disLoad,i The load value of the ith target subnet accessed by the distributed power supply is obtained; p disLoss,i And the ith target sub-network accessed by the distributed power supply is lost.
The maximum consumption capability of the distributed new energy constrained by the transformer capacity corresponds to the following scenes: the distributed power capacity of the ith target subnet meets the local load P of the ith target subnet disLoad,i And loss P disLoss,i On the other hand, the power is returned to the superior power grid through the upper channel transformer, and the maximum power limited factor returned to the superior power grid at the moment is the capacity P of the upper channel transformer on the ith target sub-network trans,i At the moment, the maximum consumption value of the distributed new energy is the capacity P of the transformer trans,i + ith target subnet load P disLoad,i + ith target sub-network loss P disLoss,i
S5, establishing an optimization model by taking the maximum distributed new energy consumption of the power distribution network as an objective function, solving the optimization model on the premise of meeting the constraint conditions of the voltage range and the current-carrying capacity of the power distribution network, and obtaining a third distributed new energy access limit value S constrained by the voltage range and the current-carrying capacity of the power distribution network Opt
And evaluating the consumption capability of the power grid on the distributed new energy by considering the voltage range constraint, the branch maximum allowable current constraint, the power flow balance constraint and the generator node output limit of the target power grid.
Establishing a distributed new energy consumption objective function and constraint conditions of the power distribution network, as shown in the following formula:
Figure BDA0003880900490000091
Figure BDA0003880900490000092
in the above model, (6-2) - (6-5) are equality constraints, and (6-6) - (6-9) are inequality constraints, the variables are described as follows:
z =1, \ 8230;, k denotes the Z-th target subnet with distributed power access; k represents the number of target subnets with distributed power supply access; b represents a Z-th target subnet node set, and E represents a Z-th target subnet branch set; p G,Z,j The active power of the distributed power supply at the Z-th target sub-network node j is obtained; v Z,i 、V Z,j Representing the voltage amplitude of the Z-th target subnet node i, j; p is Z,ij 、Q Z,ij The active power and the reactive power of the Zth target sub-network branch i and j are represented; l Z,ij 、u Z,j Is an intermediate variable; p Z,Gi 、Q Z,Gi The active and reactive power output of the generator i of the Z-th target sub-network is obtained; p Z,Di 、Q Z,Di The active and reactive loads of the Z-th target sub-network node i are obtained; theta i A voltage phase angle is the node i of the Zth target sub-network; theta Z,ij =θ Z,iZ,j ;G Z,ij 、B Z,ij Real parts and imaginary parts of ith row and jth column elements of the Z-th target subnet node admittance array;
Figure BDA0003880900490000093
respectively representing the upper limit and the lower limit of the voltage amplitude of the Z-th target sub-network node j;
Figure BDA0003880900490000094
represents the maximum allowed current of the Z-th target sub-network branch i, j;
Figure BDA0003880900490000095
P Z,Gi respectively setting the upper and lower bound values of the active output of the power supply of the Z-th target sub-network;
Figure BDA0003880900490000096
Q Z,Gi and the power reactive output upper and lower bound values are the power reactive output upper and lower bound values of the Zth target sub-network.
Solving the optimization model, and acquiring a new energy access limit value S of the voltage range and current-carrying capacity constraint of the power distribution network Opt
Figure BDA0003880900490000101
The meaning of the variables in equation 7 is consistent with equation 6.
S6, comparing S Ua 、S Tran 、S Opt And selecting the minimum value of the first distributed new energy access limit value, the second distributed new energy access limit value and the third distributed new energy access limit value as the current power grid distributed new energy access limit value.
According to the calculation result, the distributed new energy access limit value S of the target power grid to be researched can be obtained DG As shown in the following formula:
S DG =min(S Ua ,S Tran ,S Opt ) (8)
example 2
As shown in fig. 2, in a second aspect, the present invention provides a distributed new energy consumption capability computing apparatus, including:
the first acquisition module is used for acquiring unit information capable of participating in balancing distributed new energy power fluctuation;
the first calculation module is used for calculating to obtain a first distributed new energy access limit value under the constraint of the regulating capacity of the unit based on the unit information;
in a first computing module, theFirst distributed new energy access limit value S Ua The calculation method of (c) is as follows:
S Ua =S adj +S bal
wherein S is adj The method comprises the steps of considering the distributed new energy consumption capacity constrained by the regulation capacity of a local unit; s bal The method is a distributed new energy consumption capability considering adjacent external power grid unit regulation capability constraints.
Considering the distributed new energy consumption capability S of the regulation capability constraint of the local unit adj The calculation method is as follows:
Figure BDA0003880900490000102
wherein, P ps,max The maximum regulation capacity of the power grid is obtained; j is a local unit number which can participate in balancing the power fluctuation of the distributed new energy; m is the total number of local units which can participate in balancing the power fluctuation of the distributed new energy; p max,j The maximum output is given to the jth unit; p is min,j The minimum output force of the jth unit is obtained; a. The ps,j The adjustment amplitude of the jth unit.
Considering distributed new energy consumption capability S of adjacent external power grid unit regulation capability constraint bal The calculation method is as follows:
Figure BDA0003880900490000111
mu is the maximum power fluctuation coefficient of the distributed new energy; p ls External adjacent grid unit backup capacity used to support the target grid for the year of operation.
The operation year is used for supporting the standby capacity P of the external adjacent power grid unit of the target power grid ls Calculated as follows:
P ls =λ*P ic
wherein, P ic And lambda is the unit spare capacity coefficient, which is the total installed capacity of the external adjacent power grid in the operating year.
The second acquisition module is used for acquiring information of the transformer of the transmission channel of the target sub-network accessed by the distributed power supply;
the second calculation module is used for calculating a second distributed new energy access limit value under the constraint of transformer capacity based on the transformer information of the transmission channel on the target sub-network;
in a second calculation module, a second distributed new energy access limit value S under the constraint of the transformer capacity Tran The calculation method is as follows:
Figure BDA0003880900490000112
wherein i =1, \8230, n denotes the ith target subnet with distributed power access; n represents the number of target subnets with distributed power supply access; p DG,max The maximum value of the grid-connected capacity of the distributed power supply is obtained; p trans,i Transmitting the capacity of a channel transformer to the ith target sub-network to which the distributed power supply is connected; p disLoad,i The load value of the ith target subnet accessed by the distributed power supply is obtained; p disLoss,i And the ith target sub-network accessed by the distributed power supply is lost.
The model solving module is used for establishing an optimization model by taking the maximum distributed new energy consumption of the power distribution network as an objective function, and solving the optimization model on the premise of meeting the constraint conditions of the voltage range and the current-carrying capacity of the power distribution network to obtain a third distributed new energy access limit value constrained by the voltage range and the current-carrying capacity of the power distribution network;
in the model solving module, the objective function and the constraint condition of the distributed new energy consumption of the power distribution network are shown as follows:
Figure BDA0003880900490000121
Figure BDA0003880900490000122
wherein Z =1, \8230, k denotes the Z-th target subnet with distributed power access; k represents the number of target subnets with distributed power supply access; b represents a Z-th target subnet node set, and E represents a Z-th target subnet branch set; p is G,Z,j The active power of the distributed power supply at the Z-th target sub-network node j is obtained; v Z,i 、V Z,j Representing the voltage amplitude of the Z-th target subnet node i, j; p is Z,ij 、Q Z,ij The active power and the reactive power of the Z-th target sub-network branch i and j are represented; l Z,ij 、u Z,j Is an intermediate variable; p Z,Gi 、Q Z,Gi Active and reactive power output of a Z-th target sub-network generator i is obtained; p Z,Di 、Q Z,Di The active and reactive loads of the Z-th target sub-network node i are obtained; theta i Voltage phase angle of a Z-th target sub-network node i; theta.theta. Z,ij =θ Z,iZ,j ;G Z,ij 、B Z,ij Real parts and imaginary parts of ith row and jth column elements of the Z-th target subnet node admittance array;
Figure BDA0003880900490000131
respectively representing the upper limit and the lower limit of the voltage amplitude of the Z-th target subnet node j;
Figure BDA0003880900490000132
represents the maximum allowable current of the Z-th target sub-network branch i, j;
Figure BDA0003880900490000133
P Z,Gi respectively setting the upper and lower bound values of the active output of the power supply of the Z-th target sub-network;
Figure BDA0003880900490000134
Q Z,Gi and the power reactive output upper and lower bound values are the power reactive output upper and lower bound values of the Zth target sub-network.
And the comparison module is used for selecting the minimum value of the first distributed new energy access limit value, the second distributed new energy access limit value and the third distributed new energy access limit value as the current power grid distributed new energy access limit value.
Example 3
As shown in fig. 3, the present invention further provides an electronic device 100 for implementing the distributed new energy consumption capability calculation method; the electronic device 100 comprises a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on the at least one processor 102, and at least one communication bus 104. The memory 101 may be used for storing a computer program 103, and the processor 102 implements the steps of the distributed new energy consumption capability calculation method according to embodiment 1 by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101. The memory 101 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data) created according to the use of the electronic apparatus 100, and the like. In addition, the memory 101 may include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other non-volatile solid state storage device.
The at least one Processor 102 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The processor 102 may be a microprocessor or the processor 102 may be any conventional processor or the like, and the processor 102 is the control center of the electronic device 100 and connects the various parts of the entire electronic device 100 using various interfaces and lines.
The memory 101 in the electronic device 100 stores a plurality of instructions to implement a distributed new energy consumption capability calculation method, and the processor 102 can execute the plurality of instructions to implement:
acquiring unit information capable of participating in balancing distributed new energy power fluctuation;
calculating to obtain a first distributed new energy access limit value under the constraint of the unit adjusting capacity based on the unit information;
acquiring information of an uploading channel transformer of a target sub-network accessed by a distributed power supply;
calculating to obtain a second distributed new energy access limit value under the constraint of transformer capacity based on the information of the channel transformer uploaded by the target subnet;
establishing an optimization model by using the maximum distributed new energy consumption of the power distribution network as an objective function, and solving the optimization model on the premise of meeting the constraint conditions of the voltage range and the current-carrying capacity of the power distribution network to obtain a third distributed new energy access limit value constrained by the voltage range and the current-carrying capacity of the power distribution network;
and selecting the minimum value of the first distributed new energy access limit value, the second distributed new energy access limit value and the third distributed new energy access limit value as the current power grid distributed new energy access limit value.
Example 4
The integrated modules/units of the electronic device 100 may be stored in a computer-readable storage medium if implemented in the form of software functional units and sold or used as separate products. Based on such understanding, all or part of the flow in the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium and used for instructing relevant hardware, and when the computer program is executed by a processor, the steps of the above-described embodiments of the method may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic diskette, optical disk, computer Memory, and Read-Only Memory (ROM).
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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 (10)

1. A distributed new energy consumption capacity calculation method is characterized by comprising the following steps:
acquiring unit information capable of participating in balancing distributed new energy power fluctuation;
calculating to obtain a first distributed new energy access limit value under the constraint of the unit adjusting capacity based on the unit information;
acquiring information of an uploading channel transformer of a target sub-network accessed by a distributed power supply;
calculating to obtain a second distributed new energy access limit value under the constraint of transformer capacity based on the transformer information of the uploading channel of the target sub-network;
establishing an optimization model by taking the maximum distributed new energy consumption of the power distribution network as an objective function, and solving the optimization model on the premise of meeting the constraint conditions of the voltage range and the current carrying capacity of the power distribution network to obtain a third distributed new energy access limit value of the voltage range and the current carrying capacity of the power distribution network;
and selecting the minimum value of the first distributed new energy access limit value, the second distributed new energy access limit value and the third distributed new energy access limit value as the current power grid distributed new energy access limit value.
2. The distributed new energy consumption calculation method according to claim 1, wherein the first distributed new energy access limit value S is Ua Distributed new energy consumption capability for considering local unit regulation capability constraint and considering adjacent external electricityAnd the sum of distributed new energy consumption capacities constrained by the regulation capacity of the grid set.
3. The distributed new energy consumption capability calculation method according to claim 2, wherein the distributed new energy consumption capability S considering local unit adjustment capability constraints adj The calculation method of (c) is as follows:
Figure FDA0003880900480000011
wherein, P ps,max The maximum regulation capacity of the power grid is obtained; j is a local unit number which can participate in balancing the power fluctuation of the distributed new energy; m is the total number of local units which can participate in balancing the power fluctuation of the distributed new energy; p max,j The maximum output is given to the jth unit; p min,j The minimum output force of the jth unit is obtained; a. The ps,j The adjustment amplitude of the jth unit.
4. The distributed new energy consumption capability calculation method according to claim 2, wherein the distributed new energy consumption capability S considering adjacent external grid unit regulation capability constraints bal The calculation method is as follows:
Figure FDA0003880900480000012
wherein mu is the maximum power fluctuation coefficient of the distributed new energy; p ls External adjacent grid unit reserve capacity is used to support the target grid for the year of operation.
5. The distributed new energy consumption calculation method according to claim 4, wherein the operating year is used to support the external adjacent grid unit reserve capacity P of the target grid ls Calculated as follows:
P ls =λ*P ic
wherein, P ic And lambda is the unit spare capacity coefficient, which is the total installed capacity of the external adjacent power grid in the operating year.
6. The distributed new energy consumption calculation method according to claim 1, wherein a second distributed new energy access limit value S under transformer capacity constraint Tran The calculation method is as follows:
Figure FDA0003880900480000021
wherein i =1, \8230, n denotes the ith target subnet with distributed power access; n represents the number of target subnets with distributed power supply access; p is DG,max The maximum value of the grid-connected capacity of the distributed power supply is obtained; p trans,i Transmitting the capacity of a channel transformer to the ith target sub-network to which the distributed power supply is connected; p disLoad,i The load value of the ith target subnet accessed by the distributed power supply is obtained; p disLoss,i And the ith target sub-network accessed by the distributed power supply is lost.
7. The distributed new energy consumption capability calculation method according to claim 6, wherein the distribution network distributed new energy consumption objective function and the constraint condition are as follows:
Figure FDA0003880900480000031
Figure FDA0003880900480000032
wherein Z =1, \8230, k denotes the Z-th target subnet with distributed power access; k represents the number of target subnets with distributed power supply access; b represents a Z-th target subnet node set, and E represents a Z-th target subnet branch set; p G,Z,j Is the Z thThe active power of the distributed power supply at the target subnet node j; v Z,i 、V Z,j Representing the voltage amplitude of the Z-th target subnet node i, j; p Z,ij 、Q Z,ij The active power and the reactive power of the Z-th target sub-network branch i and j are represented; l Z,ij 、u Z,j Is an intermediate variable; p Z,Gi 、Q Z,Gi The active and reactive power output of the generator i of the Z-th target sub-network is obtained; p Z,Di 、Q Z,Di The active and reactive loads of the Z-th target sub-network node i are obtained; theta i Voltage phase angle of a Z-th target sub-network node i; theta Z,ij =θ Z,iZ,j ;G Z,ij 、B Z,ij Real parts and imaginary parts of ith row and jth column elements of the Z-th target subnet node admittance array;
Figure FDA0003880900480000041
respectively representing the upper limit and the lower limit of the voltage amplitude of the Z-th target sub-network node j;
Figure FDA0003880900480000042
represents the maximum allowed current of the Z-th target sub-network branch i, j;
Figure FDA0003880900480000043
P Z,Gi respectively setting the upper and lower bound values of the active output of the power supply of the Z-th target sub-network;
Figure FDA0003880900480000044
Q Z,Gi and the power reactive output upper and lower bound values are the Z-th target sub-network power supply reactive output upper and lower bound values.
8. A distributed new energy consumption capability calculation apparatus, comprising:
the first acquisition module is used for acquiring unit information capable of participating in balancing distributed new energy power fluctuation;
the first calculation module is used for calculating to obtain a first distributed new energy access limit value under the constraint of the regulating capacity of the unit based on the unit information;
the second acquisition module is used for acquiring information of the transformer of the transmission channel of the target sub-network accessed by the distributed power supply;
the second calculation module is used for calculating a second distributed new energy access limit value under the constraint of transformer capacity based on the information of the channel transformer uploaded by the target sub-network;
the model solving module is used for establishing an optimization model by taking the maximum distributed new energy consumption of the power distribution network as an objective function, solving the optimization model on the premise of meeting the constraint conditions of the voltage range and the current-carrying capacity of the power distribution network, and obtaining a third distributed new energy access limit value of the voltage range and the current-carrying capacity constraint of the power distribution network;
and the comparison module is used for selecting the minimum value of the first distributed new energy access limit value, the second distributed new energy access limit value and the third distributed new energy access limit value as the current power grid distributed new energy access limit value.
9. An electronic device comprising a processor and a memory, the processor being configured to execute a computer program stored in the memory to implement the distributed new energy consumption capability calculation method according to any one of claims 1 to 7.
10. A computer-readable storage medium storing at least one instruction which, when executed by a processor, performs a distributed new energy consumption capability calculation method according to any one of claims 1 to 7.
CN202211230445.XA 2022-09-30 2022-09-30 Distributed new energy consumption capacity calculation method, device, equipment and medium Pending CN115659098A (en)

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