SOP optimization operation method and system for inhibiting loop closing impact current
By constructing a set of objective optimization functions and constraint functions, and using the whale optimization algorithm to optimize the SOP parameters, the problem of insufficient suppression of loop inrush current in existing technologies is solved, and safe and smooth switching of the topology network and equipment protection are realized.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-31
- Publication Date
- 2026-03-31
AI Technical Summary
Existing SOP optimization techniques cannot effectively suppress loop-closing inrush current and ignore transient characteristics during topology switching, leading to shortened equipment lifespan and system oscillation risks.
By constructing an objective optimization function and using the whale optimization algorithm to optimize the operating parameters of the SOP, the voltage difference between the two sides of each branch to be closed and the current of the branch to be disconnected in the topology network are reduced. A set of constraint functions is constructed to constrain the network and achieve a safe and smooth transition of the topology network.
It effectively suppresses the inrush current of the closed loop, ensures the safety and stability of the topology network switching process, reduces the risk of equipment damage, and improves the safe and stable operation capability of the distribution network.
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Figure CN121769900A_ABST
Abstract
Description
Technical Field
[0001] This application belongs to the field of flexible distribution network operation control technology, and more specifically, relates to a SOP optimization operation method and system for suppressing loop inrush current. Background Technology
[0002] As a core flexible device in the distribution network, the soft open point (SOP) replaces the traditional feeder tie switch with a controllable power electronic converter, realizing a normalized flexible connection between feeders. It has the ability to quickly and accurately regulate active and reactive power, and can flexibly optimize the distribution of network power flow, providing core execution support for distribution network topology reconfiguration.
[0003] The core of distribution network topology reconfiguration lies not only in determining the optimal target topology of the distribution network, but more importantly, in how to safely and smoothly complete the switching process from the initial topology to the target topology. In the typical "close first, then disconnect" topology switching operation, the voltage amplitude difference, phase angle difference, and residual current of the branch to be disconnected on both sides of the closing point at the moment of closing can easily trigger a huge closing inrush current. This inrush current poses a serious threat to the insulation performance of distribution equipment and the withstand capability of switching equipment. At best, it can shorten the life of equipment; at worst, it can cause switch tripping, equipment damage, or even system oscillation, directly affecting the safe and stable operation of the distribution network.
[0004] Currently, existing SOP optimization techniques mostly focus on improving steady-state operating performance and cannot effectively suppress closing-loop inrush currents. In addition, traditional SOP optimization methods for distribution network topology are generally limited to the optimization selection of the target topology structure, ignoring the transient characteristics of the switching execution process. This may result in the inability to eliminate the risk of inrush currents at the root, making it difficult to meet the transient safety requirements of distribution network topology switching. Summary of the Invention
[0005] To address the aforementioned deficiencies in the existing technology, this application provides a SOP optimization operation method and system for suppressing loop inrush current. The aim is to actively reduce the voltage difference across each branch to be closed and the current in the branch to be disconnected in the topology network by optimizing the operating parameters of the SOP, thereby suppressing the inrush current at its source and achieving a safe and smooth transition during the topology network switching process.
[0006] In a first aspect, this application provides a method for optimizing SOP operation to suppress closing-loop inrush current, including: Obtain the voltage amplitude difference between the two ends of the branch to be closed and the current amplitude of the branch to be disconnected before each operation unit in the distribution network topology is executed, and construct the objective optimization function based on the voltage amplitude difference between the two ends of each branch to be closed and the current amplitude of the branch to be disconnected. Construct a constraint function set, which includes at least three constraint function sets. The constraint function set is used to constrain the value range of at least one function variable. The function variables include the power data of each node in the topology network, the current data of each branch, and the current and power data of each port of the SOP. Based on the constraint function set and the objective optimization algorithm, the objective optimization function is solved, the SOP parameter optimization scheme is generated according to the solution of the objective optimization function, and the SOP running parameters are updated according to the SOP parameter optimization scheme.
[0007] Furthermore, the objective optimization function is used to minimize the voltage magnitude difference across each branch to be closed and the current magnitude of each branch to be disconnected in all operating units. The expression of the objective optimization function is:
[0008] Where, Δ U τ,c The first before closing τ Branches to be closed in each operation unit e c The voltage amplitude difference between the two ends, I τ,o To disconnect the first τ The current amplitude of the branch to be disconnected in each operating unit. N op This indicates the total number of operation units.
[0009] Furthermore, the types of constraint function sets include power flow constraint function sets, network security constraint function sets, and SOP operation constraint function sets. Power flow constraint function sets are used to constrain the power data of each node, network security constraint function sets are used to constrain the voltage values of each node, the current data of each branch, and the current data of each port of the SOP, and SOP operation constraint function sets are used to constrain the power data of each port of the SOP.
[0010] Furthermore, the node power data includes active and reactive power injected into the topology, and the expression for the power flow constraint function set is as follows: ,
[0011]
[0012]
[0013] in, P inj,i , Q inj,i They represent nodes respectively i The active and reactive power injected into the topology network. Pdj,i , Q dj,i These represent distributed power sources at the nodes. i The active and reactive power of the injected topology network. P load,i , Q load,i These represent the nodes respectively. i The active power and reactive power of the load at the location. U i , U j Representing nodes respectively i With nodes j Voltage. G ij , B ij , δ ij For the node i With nodes j Branch roads ij The conductivity, susceptance, and phase angle difference.
[0014] Furthermore, the current data for each port of the SOP includes the maximum inrush current, and the current data for each branch includes both the maximum inrush current and the steady-state operating current. The expression for the network security constraint function set is as follows: ,
[0015] ,
[0016] in, U min , U max This represents the minimum and maximum voltage values of the topology network. U i Represents a node i Voltage at that point I p,k Indicates a branch e k The maximum inrush current, I p,k,max Indicates a branch e k The rated peak withstand current of the switch on the device. I k Indicates a branch e k Stable operating current, I max This represents the thermal stability value of the current in the topology network. I SOP,h,p,max SOPh The port's rated peak withstand current, I SOP,h,p SOP h Maximum inrush current at the port.
[0017] Furthermore, the power data of each port of the SOP includes the active and reactive power of the branch to be closed and the branch to be disconnected, and the expression of the SOP operation constraint function set is as follows: ,
[0018] ,
[0019] in, S SOP,h Indicates SOP port h Apparent power , These represent the SOPs. h The port corresponding to the τ The active power loss of the branch to be closed and the branch to be disconnected in each operating unit. N SOP This indicates the total number of ports in the SOP. , These represent the SOPs. h The port corresponding to the τ The active and reactive power of the branches to be disconnected in each operating unit , These represent the SOPs. h The port corresponding to the τ The active and reactive power of the branch to be closed in each operating unit.
[0020] Furthermore, the target optimization algorithm is the whale optimization algorithm.
[0021] Secondly, this application also provides an SOP optimized operation system for suppressing loop inrush current, used to implement any of the methods in the first aspect, including: The amplitude acquisition unit is used to acquire the voltage amplitude difference between the two ends of the branch to be closed and the current amplitude of the branch to be disconnected before each operation unit in the distribution network topology is executed. The objective optimization function construction unit is used to construct the objective optimization function based on the voltage magnitude difference between the two ends of each branch to be closed and the current magnitude of the branch to be disconnected. The constraint function set construction unit is used to construct the power flow constraint function set, network security constraint function set, and SOP operation constraint function set, and to constrain the power data of each node in the topology network, the current data of each branch, and the current and power data of each port of the SOP. The optimization scheme acquisition unit is used to solve the objective optimization function based on the constraint function set and the objective optimization algorithm, generate the SOP parameter optimization scheme based on the solution result of the objective optimization function, and update the running parameters of the SOP based on the SOP parameter optimization scheme.
[0022] Thirdly, this application also provides an electronic device, characterized in that it comprises: At least one memory for storing computer programs; At least one processor is configured to execute a program stored in the memory, such that, when the program is executed, the processor performs the method described in the first aspect or any possible implementation thereof.
[0023] Fourthly, this application also provides a computer-readable storage medium storing a computer program that, when run on a processor, causes the processor to perform the method described in the first aspect or any possible implementation thereof.
[0024] In summary, the technical solutions conceived by this invention have the following beneficial effects compared with the prior art: This application provides a SOP (Site-Operated Operation) optimization method and system for suppressing loop inrush current. By constructing a target optimization function to minimize the voltage amplitude difference across each branch to be closed and the current amplitude of each branch to be disconnected in all operating units, the transient safety problem of how to suppress inrush current can be effectively transformed into a solvable target optimization problem. The target optimization function can then be constrained by power flow constraints, network security constraints, and a set of SOP operation constraint functions. The target optimization function can be solved using a target optimization algorithm to obtain an SOP parameter optimization scheme. This allows the rapid adjustment capability of SOP on the topology network to be utilized, and the parameters of SOP can be optimized through the SOP parameter optimization scheme to suppress the generation of inrush current at the moment of closure of each branch to be closed in the topology network. Attached Figure Description
[0025] To more clearly illustrate the technical solutions in this application or related technologies, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0026] Figure 1 This is a flowchart illustrating the SOP optimization operation method provided in the embodiments of this application.
[0027] Figure 2 This is a schematic diagram of a topology network provided in an embodiment of this application.
[0028] Figure 3 This is a voltage distribution diagram of each node in the topology network provided in this application embodiment.
[0029] Figure 4 This is a simulation diagram of the inrush current provided in the embodiments of this application.
[0030] Figure 5 This is a schematic diagram of the SOP optimized operation system provided in the embodiments of this application.
[0031] Figure 6 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation
[0032] The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings.
[0033] In the following description, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance. The following description provides multiple embodiments of this application, which can be substituted or combined with each other. Therefore, this application can also be considered to include all possible combinations of the same and / or different embodiments described. Thus, if one embodiment includes features A, B, and C, and another embodiment includes features B and D, then this application should also be considered to include embodiments containing one or more other possible combinations of A, B, C, and D, even if such embodiments are not explicitly described in the following text.
[0034] The following description provides examples and does not limit the scope, applicability, or examples set forth in the claims. Changes may be made to the function and arrangement of the described elements without departing from the scope of this application. Various processes or components may be appropriately omitted, substituted, or added to the examples. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Furthermore, features described with respect to some examples may be combined into other examples.
[0035] Figure 1 This is a flowchart illustrating the SOP (Start of Operation) optimization method for suppressing loop inrush current provided in an embodiment of this application. Figure 1 As shown, the method includes at least the following steps: S1. Obtain the voltage amplitude difference between the two ends of the branch to be closed and the current amplitude of the branch to be disconnected before each operation unit in the distribution network topology is executed, and construct the objective optimization function based on the voltage amplitude difference between the two ends of each branch to be closed and the current amplitude of the branch to be disconnected.
[0036] In this embodiment of the application, the implementing entity of the method can be a central controller responsible for switching the distribution network topology. For example... Figure 2 As shown, the distribution network topology includes multiple branches and corresponding nodes for each branch. Branch types include branches to be closed, branches to be disconnected, and steady-state branches. Topology switching can be achieved by controlling the opening and closing of branches to be closed and branches to be disconnected. A single switching is completed through multiple operating units, with each operating unit corresponding to a switch for a branch to be closed or a branch to be disconnected. For example, the topology can be divided into an initial topology and a target topology based on the state before and after switching. Switching the initial topology corresponds to switching branches... e 14 , e 18 , e 28 and e 33 The target topology corresponds to the branch to be cut off, which is the branch. e 5, e 13 , e 19 and e 29 The feeder voltage level is set to 10kV. A Standard Operating Procedure (SOP) unit is connected between nodes 18 and 25, with the maximum capacity of the converters at both ends of the SOP set to 1MW and the loss factor set to 0.01. To fully consider the impact of high distributed generation penetration, photovoltaic (PV) power is connected at nodes 10 and 18, each with a capacity of 1.67MW.
[0037] The objective optimization function aims to minimize the voltage amplitude difference across each branch to be closed and the current amplitude of each branch to be disconnected in all operating units. This is because in the power supply system composed of the entire topology network, abnormal voltage differences or currents in some branches can generate inrush currents, thus affecting the switching process of the topology network. The principle of the method in this application is to utilize the flexible and rapid active / reactive power regulation capability of SOP to proactively adjust the network power flow distribution before each operating unit executes, optimize the voltage amplitude and phase angle on both sides of the closing point, and the current of the branch to be disconnected. This creates a consistent operating environment for all branches at the moment of closing the branch to be closed, suppressing the generation of inrush currents from the source.
[0038] The expression for the objective optimization function is:
[0039] Where, Δ U τ,c The first before closing τ Branches to be closed in each operation unit e c The voltage amplitude difference between the two ends, I τ,o To disconnect the first τ The current amplitude of the branch to be disconnected in each operating unit. N op This indicates the total number of operation units.
[0040] S2. Construct a constraint function set, which includes at least three constraint function sets. The constraint function set is used to constrain the value range of at least one function variable. The function variables include the power data of each node in the topology network, the current data of each branch, and the current and power data of each port of the SOP.
[0041] In this embodiment of the application, the types of constraint function sets include power flow constraint function set, network security constraint function set, and SOP operation constraint function set. The power flow constraint function set is used to constrain the power data of each node, the network security constraint function set is used to constrain the voltage value of each node, the current data of each branch, and the current data of each port of the SOP, and the SOP operation constraint function set is used to constrain the power data of each port of the SOP.
[0042] In one possible implementation, the node power data includes active and reactive power for injection into the topology, and the expression for the power flow constraint function set is: ,
[0043]
[0044]
[0045] Among them, such as Figure 2 Each node shown is powered by its corresponding distributed power source. P inj,i , Q inj,i They represent nodes respectively i The active and reactive power injected into the topology network. P dj,i , Q dj,i These represent distributed power sources at the nodes. i The active and reactive power of the injected topology network. P load,i , Q load,i These represent the nodes respectively. iThe active power and reactive power of the load at the location. U i , U j Representing nodes respectively i With nodes j Voltage. G ij , B ij , δ ij For the node i With nodes j Branch roads ij The conductivity, susceptance, and phase angle difference.
[0046] In one possible implementation, the current data for each port of the SOP includes the maximum inrush current, and the current data for each branch includes both the maximum inrush current and the steady-state operating current. The expression for the network security constraint function set is as follows: ,
[0047] ,
[0048] in, U min , U max This represents the minimum and maximum voltage values of the topology network. U i Represents a node i Voltage at that point I p,k Indicates a branch e k The maximum inrush current, I p,k,max Indicates a branch e k The rated peak withstand current of the switch on the device. I k Indicates a branch e k Stable operating current, I max This represents the thermal stability value of the current in the topology network. I SOP,h,p,max SOP h The port's rated peak withstand current, I SOP,h,p SOP h Maximum inrush current at the port.
[0049] For the branch to be closed, the maximum inrush current is the estimated transient inrush current value, and the estimation formula is as follows:
[0050]
[0051]
[0052]
[0053] in, I st,c The steady-state loop current RMS value of the branch to be closed is given. U oca , U ocb The Thevenin equivalent open-circuit voltages on both sides of the branch to be closed. Z eq The equivalent impedance of the branch to be closed is... T a Let be the decay time constant of the aperiodic component. X eq for f c Equivalent reactance at frequency, R eq for f c The equivalent resistance at a given frequency, where fn is the rated frequency.
[0054] In one possible implementation, the power data of each port of the SOP includes the active power and reactive power of the branch to be closed and the branch to be disconnected corresponding to the port, and the expression of the SOP operation constraint function set is: ,
[0055] ,
[0056] in, S SOP,h Indicates SOP port h Apparent power , These represent the SOPs. h The port corresponding to the τ The active power loss of the branch to be closed and the branch to be disconnected in each operating unit. N SOP This indicates the total number of ports in the SOP. , These represent the SOPs. h The port corresponding to the τ The active and reactive power of the branches to be disconnected in each operating unit , These represent the SOPs. h The port corresponding to the τ The active and reactive power of the branch to be closed in each operating unit.
[0057] , The calculation formula is: , , A loss,h Let h be the loss coefficient of port h.
[0058] S3. Based on the constraint function set and the objective optimization algorithm, solve the objective optimization function, generate the SOP parameter optimization scheme according to the solution of the objective optimization function, and update the SOP running parameters according to the SOP parameter optimization scheme.
[0059] In this embodiment, the target optimization algorithm can be one of the following: whale optimization algorithm, particle swarm optimization algorithm, and cuckoo search algorithm. This embodiment selects the whale optimization algorithm. After obtaining the SOP parameter optimization scheme, the active and reactive power of each port of the SOP are adjusted, and then the switching process of each node in the subsequent topology network is executed according to the SOP adjusted by the power data. Figure 3 As shown, after switching, the voltage distribution of each node in the topology network optimized by SOP is more concentrated and stable. Figure 4 As shown, Figure 4 The results show that the inrush current of the branch to be closed, e34, is significantly suppressed when the closing operation is performed, thanks to the SOP optimization.
[0060] Table 1. Voltage difference and inrush current of the branch to be closed before loop closing operation
[0061] In addition, as shown in Table 1, the branches to be closed e 14、 e 18、 e 28、 The inrush current of e34 after performing a closing operation was also significantly suppressed after the switching process was performed using a parameter-updated SOP in the topology network.
[0062] Figure 5 This is a schematic diagram of the SOP optimized operation system for suppressing loop inrush current provided in an embodiment of this application, as shown below. Figure 5 As shown, the system includes at least: The amplitude acquisition unit is used to acquire the voltage amplitude difference between the two ends of the branch to be closed and the current amplitude of the branch to be disconnected before each operation unit in the distribution network topology is executed. The objective optimization function construction unit is used to construct the objective optimization function based on the voltage magnitude difference between the two ends of each branch to be closed and the current magnitude of the branch to be disconnected. The constraint function set construction unit is used to construct the power flow constraint function set, network security constraint function set, and SOP operation constraint function set, and to constrain the power data of each node in the topology network, the current data of each branch, and the current and power data of each port of the SOP. The optimization scheme acquisition unit is used to solve the objective optimization function based on the constraint function set and the objective optimization algorithm, generate the SOP parameter optimization scheme based on the solution result of the objective optimization function, and update the running parameters of the SOP based on the SOP parameter optimization scheme.
[0063] like Figure 6 As shown, Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include: a processor 601, a communications interface 602, a memory 603, and a communication bus 604. The processor 601, communications interface 602, and memory 603 communicate with each other via the communication bus 604. The processor 601 can call software instructions in the memory 603 to execute the methods described in the above embodiments.
[0064] Furthermore, the logical instructions in the aforementioned memory 603 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application.
[0065] Based on the methods in the above embodiments, this application provides a computer-readable storage medium storing a computer program that, when run on a processor, causes the processor to execute the methods in the above embodiments.
[0066] Based on the methods in the above embodiments, this application provides a computer program product that, when run on a processor, causes the processor to execute the methods in the above embodiments.
[0067] It is understood that the processor in the embodiments of this application can be a CPU (Central Processing Unit), or other general-purpose processors, DSPs (Digital Signal Processors), ASICs (Application Specific Integrated Circuits), FPGAs (Field Programmable Gate Arrays), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. A general-purpose processor can be a microprocessor or any conventional processor.
[0068] The method steps in this application embodiment can be implemented in hardware or by a processor executing software instructions. The software instructions can consist of corresponding software modules, which can be stored in random access memory (RAM), flash memory, ROM (Read-only Memory), PROM (Programmable ROM), EPROM (Erasable PROM), EEPROM (Electrically Erasable EPROM), registers, hard disks, portable hard disks, CD-ROMs, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can reside in an ASIC.
[0069] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in or transmitted through a computer-readable storage medium. The computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line DSL) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., SSD (Solid State Disk)).
[0070] It is understood that the various numerical designations used in the embodiments of this application are merely for the convenience of description and are not intended to limit the scope of the embodiments of this application.
[0071] Those skilled in the art will readily understand that the above are merely preferred embodiments of this application and are not intended to limit this application. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.
Claims
1. A method for optimizing SOP operation to suppress closing-loop inrush current, characterized in that, include: The voltage amplitude difference between the two ends of the branch to be closed and the current amplitude of the branch to be disconnected are obtained before each operation unit in the distribution network topology is executed. Based on the voltage amplitude difference between the two ends of each branch to be closed and the current amplitude of the branch to be disconnected, a target optimization function is constructed. Construct a constraint function set, which includes at least three constraint function sets. The constraint function sets are used to constrain the value range of at least one function variable. The function variable includes the power data of each node in the topology network, the current data of each branch, and the current data and power data of each port of the SOP. Based on the constraint function set and the objective optimization algorithm, the objective optimization function is solved, and an SOP parameter optimization scheme is generated based on the solution of the objective optimization function. The running parameters of the SOP are then updated based on the SOP parameter optimization scheme.
2. The SOP optimization operation method according to claim 1, characterized in that, The objective optimization function is used to minimize the voltage magnitude difference across each branch to be closed and the current magnitude of each branch to be disconnected in all the operation units. The expression of the objective optimization function is: Where, Δ U τ,c The first before closing τ Branches to be closed in each operation unit e c The voltage amplitude difference between the two ends, I τ,o To disconnect the first τ The current amplitude of the branch to be disconnected in each operating unit. N op This indicates the total number of operation units.
3. The SOP optimization operation method according to claim 2, characterized in that, The constraint function set includes power flow constraint function set, network security constraint function set, and SOP operation constraint function set. The power flow constraint function set is used to constrain the power data of each node. The network security constraint function set is used to constrain the voltage value of each node, the current data of each branch, and the current data of each port of the SOP. The SOP operation constraint function set is used to constrain the power data of each port of the SOP.
4. The SOP optimization operation method according to claim 3, characterized in that, The power data of the nodes includes active and reactive power injected into the topology network, and the expression of the power flow constraint function set is: , in, P inj,i , Q inj,i They represent nodes respectively i The active and reactive power injected into the topology network. P dj,i , Q dj,i These represent distributed power sources at the nodes. i The active and reactive power of the injected topology network. P load,i , Q load,i These represent the nodes respectively. i The active power and reactive power of the load at the location. U i , U j Representing nodes respectively i With nodes j Voltage. G ij , B ij , δ ij For the node i With nodes j Branch roads ij The conductivity, susceptance, and phase angle difference.
5. The SOP optimization operation method according to claim 4, characterized in that, The current data for each port of the SOP includes the maximum inrush current, and the current data for each branch includes the maximum inrush current and the stable operating current. The expression for the network security constraint function set is: , , in, U min , U max This represents the minimum and maximum voltage values of the topology network. U i Represents a node i Voltage at that point I p,k Indicates a branch e k The maximum inrush current, I p,k,max Indicates a branch e k The rated peak withstand current of the switch on the device. I k Indicates a branch e k Stable operating current, I max This represents the thermal stability value of the current in the topology network. I SOP,h,p,max SOP h The port's rated peak withstand current, I SOP,h,p SOP h Maximum inrush current at the port.
6. The SOP optimization operation method according to claim 5, characterized in that, The power data of each port of the SOP includes the active power and reactive power of the branch to be closed and the branch to be disconnected corresponding to the port. The expression of the SOP operation constraint function set is: , , in, S SOP,h Indicates SOP port h Apparent power , These represent the SOPs. h The port corresponding to the τ The active power loss of the branch to be closed and the branch to be disconnected in each operating unit N SOP This indicates the total number of ports in the SOP. , These represent the SOPs. h The port corresponding to the τ The active and reactive power of the branches to be disconnected in each operating unit , These represent the SOPs. h The port corresponding to the τ The active and reactive power of the branch to be closed in each operating unit.
7. The SOP optimization operation method according to claim 6, characterized in that, The target optimization algorithm is the whale optimization algorithm.
8. A SOP-optimized operating system for suppressing loop inrush current, used to implement the method as described in any one of claims 1-7, characterized in that, include: The amplitude acquisition unit is used to acquire the voltage amplitude difference between the two ends of the branch to be closed and the current amplitude of the branch to be disconnected before each operation unit in the distribution network topology is executed. The objective optimization function construction unit is used to construct an objective optimization function based on the voltage magnitude difference between the two ends of each branch to be closed and the current magnitude of the branch to be disconnected. The constraint function set construction unit is used to construct the power flow constraint function set, the network security constraint function set, and the SOP operation constraint function set, and to constrain the power data of each node, the current data of each branch, and the current and power data of each port of the SOP in the topology network. The optimization scheme acquisition unit is used to solve the objective optimization function based on the constraint function set and the objective optimization algorithm, generate an SOP parameter optimization scheme based on the solution result of the objective optimization function, and update the running parameters of the SOP based on the SOP parameter optimization scheme.
9. An electronic device, characterized in that, include: At least one memory for storing computer programs; At least one processor is configured to execute a program stored in the memory, wherein when the program stored in the memory is executed, the processor is configured to perform the method as described in any one of claims 1-7.
10. A computer-readable storage medium having a computer program stored thereon, the computer-readable storage medium storing instructions that, when executed on a computer or processor, cause the computer or processor to perform the method as described in any one of claims 1-7.