Power distribution network partition-oriented electric energy router optimal configuration method and device

Abstract

The invention provides a power distribution network partition-oriented electric energy router optimal configuration method and device, and relates to the technical field of power system planning. Dividing the power distribution network partition into a new-energy-containing partition group and a new-energy-free partition group according to whether the new energy nodes are contained in the power distribution network partition; for the new energy partition group, determining the port capacity of the power distribution network partition according to the capacity of the new energy, and configuring the port of the electric energy router at the new energy node; for the partition group without the new energy, determining the port capacity of the power distribution network partition according to the mutual aid power condition of the power distribution network partition, determining the configuration principle, the optimization target and the constraint condition of the electric energy router, performing optimization by adopting an NSGA-II algorithm, and determining the optimal access node of the electric energy router; and finally, optimal configuration of the electric energy router is realized. According to the invention, optimal configuration of the electric energy router can be realized, and transformation and upgrading of a power distribution network of a novel power distribution system can be realized.

Description

Technical Field

[0001] The present invention relates to the technical field of power system planning, and in particular to a method and device for optimizing configuration of power routers for distribution network partitioning. Background Art

[0002] Driven by fossil fuel depletion and environmental concerns, building a new power system with a high proportion of renewable energy is becoming an inevitable trend. Countries around the world are accelerating the development of new energy sources such as wind power and photovoltaics. As the key link directly connecting end users, the distribution network is a vital component of the new power system. As the penetration rate of renewable energy increases, its transformation and upgrading is urgently needed.

[0003] The transformation and upgrading of distribution networks aims to address the issues of energy concentration and redistribution following the large-scale integration of renewable energy. DC distribution networks facilitate the integration of distributed renewable energy and reduce transmission losses. AC distribution networks remain the primary component of my country's distribution network, and since AC is the primary load, my country's future distribution network will feature a coexistence of both AC and DC. Currently, hybrid AC / DC connections are a hot topic in distribution network research both domestically and internationally. my country is promoting the development of an energy internet centered around renewable energy, using hybrid AC / DC networks as its backbone. However, the traditional centralized power control model of distribution networks (which primarily relies on generators to regulate power and frequency) hinders active control and distribution, and therefore cannot meet the needs of distribution network transformation and upgrading. New distribution equipment is urgently needed to promote the development of an energy internet.

[0004] Against this backdrop, the Energy Internet architecture achieves interconnected power systems by integrating energy and information technology. The Power Router, a core component of the Energy Internet, is based on the "FREEDM" architecture. It integrates information and energy flows, enabling efficient transmission of distributed renewable energy. When the Power Router operates, energy flows are managed and distributed based on information flow instructions, leveraging flexible power electronics technology. The information flow transmits energy flow status information to the dispatch center, providing real-time grid status data. This has significant application and promotion value in the transformation and upgrading of distribution networks. Summary of the Invention

[0005] The purpose of the present invention is to provide a method and device for optimizing the configuration of power routers for distribution network partitioning, which is used to solve the problems that the existing distribution network cannot achieve active control and distribution and cannot meet the requirements of distribution network transformation and upgrading. It can achieve optimal configuration of power routers, and then realize the transformation and upgrading of distribution networks of new distribution systems.

[0006] To achieve the above objectives, in a first aspect, the present invention provides a method for optimizing configuration of power routers for distribution network partitioning, comprising: According to whether the distribution network partition contains new energy nodes, the distribution network partition is divided into a new energy partition group and a non-new energy partition group; For partition groups containing new energy, the port capacity of the distribution network partition is determined according to the capacity of the new energy, and the ports of the power router are configured at the new energy nodes; For the partition group without new energy, the port capacity of the distribution network partition is determined according to the mutual power situation of the distribution network partition, and the configuration principle, optimization target and constraint conditions of the power router are determined. The NSGA-II algorithm is used for optimization to determine the optimal access node of the power router; According to the power router model and cost parameters, the number of power routers that need to be configured and the corresponding port capacity and port number are determined based on minimizing the power router configuration cost, so as to achieve optimal configuration of the power router.

[0007] According to a method for optimizing the configuration of a power router for distribution network partitioning provided by the present invention, the power router configuration principles include that at least one port of the power router must be configured for each distribution network partition, the port through which the power router accesses the distribution network partition should be an intermediate node of the distribution network partition as much as possible, and the port capacity and port number of the power router should be as small as possible.

[0008] According to a method for optimizing the configuration of power routers for distribution network partitioning provided by the present invention, the constraints include the type of distribution network in which the distribution network partition is located, and the conventional output and extreme output of new energy sources in the distribution network partition.

[0009] According to a power router optimization configuration method for distribution network partitioning provided by the present invention, the optimization goal is to minimize the network loss and voltage offset of the distribution network, and the optimal access node is the access node that minimizes the network loss and voltage offset of the distribution network.

[0010] According to the power router optimization configuration method for distribution network partitioning provided by the present invention, the expression for minimizing the power router configuration cost is:

[0011] Where, represents the configuration cost of the power router, n represents the number of power routers, s represents the number of ports of the i-th power router, represents the basic price of the i-th power router, represents the price of the jth port in the i-th power router.

[0012] In a second aspect, the present invention provides an energy router optimization configuration device for distribution network partitioning, comprising: A grouping unit is used to divide the distribution network partition into a partition group containing new energy and a partition group not containing new energy according to whether the distribution network partition contains new energy nodes; The first configuration unit is configured to determine the port capacity of the distribution network partition according to the capacity of the new energy partition group, and configure the port of the power router at the new energy node; The second configuration unit is used to determine the port capacity of the distribution network partition according to the mutual power situation of the distribution network partition for the partition group without new energy, and determine the configuration principle, optimization target and constraint conditions of the power router, and use the NSGA-II algorithm for optimization to determine the optimal access node of the power router; The optimization unit is used to determine the number of power routers that need to be configured and the corresponding port capacity and port number based on the minimization of the power router configuration cost according to the power router model and cost parameters, so as to achieve optimal configuration of the power router.

[0013] According to the present invention, a power router optimization configuration device for distribution network partitioning is provided. The power router configuration principles include that at least one port of the power router must be configured for each distribution network partition, the port of the power router accessing the distribution network partition should be the intermediate node of the distribution network partition as much as possible, and the port capacity and port number of the power router should be as small as possible.

[0014] According to the present invention, a power router optimization configuration device for distribution network partitioning is provided, and the constraints include the distribution network type in which the distribution network partition is located, and the conventional output and extreme output of new energy in the distribution network partition.

[0015] According to an energy router optimization configuration device for distribution network partitioning provided by the present invention, the optimization goal is to minimize the network loss and voltage offset of the distribution network, and the optimal access node is the access node that minimizes the network loss and voltage offset of the distribution network.

[0016] According to the power router optimization configuration device for distribution network partitioning provided by the present invention, the expression for minimizing the power router configuration cost is:

[0017] Where, represents the configuration cost of the power router, n represents the number of power routers, s represents the number of ports of the i-th power router, represents the basic price of the i-th power router, represents the price of the jth port in the i-th power router.

[0018] The technical solution of the present invention has at least the following technical effects: The present invention provides a method and device for optimizing the configuration of power routers for distribution network partitioning. This method, based on the output and regulation characteristics of renewable energy sources for a partitioned distribution network, classifies the distribution network partitions according to the distribution network partitioning results. The access points of Class I partitions are renewable energy nodes within the partitions, and the access points of Class II partitions are optimized using the NSGA-II algorithm to select the optimal access nodes. Finally, based on the power router model and cost parameters, the number of power routers required and the corresponding port capacity and number of ports are determined based on minimizing the power router configuration cost, thereby achieving optimal configuration of the power routers. In a specific example, power routers are configured for a low-voltage AC / DC distribution system. Through this method, the optimal configuration of power routers can be completed more scientifically, thereby realizing the transformation and upgrading of the distribution network of the new distribution system. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0020] In the attached figure: Figure 1 This is a flow chart of the method for optimizing configuration of power routers for distribution network partitioning according to the present invention; Figure 2 is a schematic diagram of a low voltage AC / DC power distribution system according to the present invention; Figure 3 This is a diagram showing the partitioning results of the medium and low voltage AC and DC distribution network of the present invention; Figure 4 This is a diagram showing the partitioning and grouping results of the low-voltage AC / DC distribution network of the present invention; Figure 5 This is a diagram showing the configuration results of the power router for the low-voltage AC / DC power distribution system of the present invention. DETAILED DESCRIPTION

[0021] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0022] The following will describe some embodiments of the present invention in detail with reference to the accompanying drawings. In the absence of conflict, the following embodiments and features in the embodiments may be combined with each other.

[0023] See also Figure 1 The embodiment of the present invention provides a method for optimizing configuration of power routers for distribution network partitioning, including: Step 1: Divide the distribution network partitions into a group containing new energy nodes and a group not containing new energy nodes according to whether the distribution network partitions contain new energy nodes. In order to facilitate a better understanding of the technical solution of the present invention, the present invention is described in conjunction with specific examples.

[0024] Adjust the IEEE69 node distribution network to form a medium and low voltage AC and DC distribution system connected by power routers, such as Figure 2 The distribution network partition results of the medium and low voltage AC and DC distribution network are shown in Figure 3 The specific method of zoning the distribution network is not the focus of the present invention and will not be described in detail here. The parameters of the distributed power supply are shown in Table 1.

[0025]

[0026] The uncertainty of renewable energy output, represented by wind power and photovoltaics, places significant pressure on the power coordination of power routers. Therefore, it is necessary to consider both conventional and extreme renewable energy output scenarios to inform the configuration of power routers.

[0027] The extreme output of renewable energy sources may exceed the control capabilities of power routers, posing safety concerns. In real life, the maximum and minimum solar irradiance occur at noon and night, respectively, corresponding to the minimum and maximum wind speeds. Based on this phenomenon, only two extreme output scenarios of renewable energy sources are constructed. The two scenarios can be expressed as follows:

[0028] Where, and Represent the output of photovoltaic and wind power under extreme conditions, and They are the upper and lower boundaries of 0.95 times the photovoltaic output, and They are the upper and lower boundaries of 0.95 times the wind power output respectively.

[0029] According to whether the distribution network partition contains new energy nodes, the distribution network partition is divided into a new energy partition group and a non-new energy partition group. Figure 4 In the above table, the sub-areas containing new energy are recorded as Class I sub-areas, and the sub-areas excluding new energy are recorded as Class II sub-areas. For the convenience of discussion, Figure 4 The partitions are also numbered after grouping, for example, Class I Partition 1, Class I Partition 2, and so on.

[0030] Step 2: For the partition group containing new energy, determine the port capacity of the distribution network partition according to the capacity of the new energy, and configure the port of the power router at the new energy node; Specifically, the optimization process of the energy router mainly involves the configuration of ports and the selection of the number of energy routers. The port models and cost parameters of the energy router are shown in Table 2.

[0031]

[0032] The basic principles of power router configuration are as follows: (1) The distribution network partitions have the ability to exchange power. Each distribution network partition has the ability to exchange power with other distribution network partitions, so that the power within the distribution network partition is balanced. That is, each distribution network partition must be equipped with at least one port of the power router.

[0033] (2) New energy nodes within the distribution network partition are prioritized as nodes for access ports of the power router. Power mutual assistance between distribution network partitions is one of the main functions of the power router. New energy resources such as wind power and photovoltaic power generation have large fluctuations in their output. Compared with other nodes within the distribution network partition, they need to send or absorb power to other nodes and distribution network partitions more frequently. Therefore, prioritizing new energy nodes as nodes for access ports of the power router will not only increase the speed of power mutual assistance, but also reduce the loss caused by power flow.

[0034] (3) The port where the energy router connects to the distribution network partition should be an intermediate node in the distribution network partition as much as possible. When the mutual aid power reaches the port node of the distribution network partition (the node connected to the port of the energy router), the mutual aid power will flow from the port node to other nodes in the distribution network partition, causing some power loss. The amount of loss is closely related to the distance the power flows. Therefore, the port node should be an intermediate node in the distribution network partition as much as possible.

[0035] (4) The port capacity and number of ports of the power router should be as small as possible. Excessive port capacity and number of ports will lead to a surge in construction costs.

[0036] According to configuration principles, the port access points for Class I zones are selected as the wind turbine / PV turbine access nodes in each zone. The port type is determined by the zone's distribution network type, and the port capacity is determined by the zone's power sharing requirements in different scenarios. For Class I Zone 4, for example, since it is located on a 10kV AC distribution network, its port type is selected as AC / DC. During normal power output, the zone's renewable energy output is 72kW, while the zone's load can be adjusted by only 44.68kW. The remaining 27.32kW requires power sharing through the port. In this case, a port capacity of 30kV is sufficient. During extreme power output, the zone's renewable energy output reaches 160kW. Based on the zone's maximum load regulation, the remaining 115.32kW requires power sharing through the port. In this case, a port capacity of 120kV is configured. Configuration options include selecting one port with a capacity of 20kV, one with a capacity of 100kV, or a single port with a capacity of 150kV. While port configuration costs are lower by combining ports of different capacities, the total configuration cost of an energy router does not necessarily decrease as the number of ports increases. Therefore, only the port locations and required port capacities are determined here. The model selection method for the remaining ports in Class I Partition 4 is the same as for Class I Partition 4. The resulting Class I Partition port configuration is shown in Table 3.

[0037]

[0038] Step 3: For the partition group without new energy, determine the port capacity of the distribution network partition according to the mutual power situation of the distribution network partition, and determine the configuration principle, optimization goal and constraint conditions of the power router. Use the NSGA-II algorithm (non-dominated sorting genetic algorithm II) for optimization to determine the optimal access node of the power router; Specifically, for the partition group without new energy, the port capacity is first determined based on the partition mutual power situation, and then the NSGA-II algorithm is used to select the port access node. The specific process is as follows: Step 31: Determine the decision variable as the port position of the power router, initialize the port position of each power router that does not contain a new energy partition, and determine the number of populations in each generation and the maximum number of iterations.

[0039] In this embodiment, the simulation settings are as follows: the load regulation capabilities within the Class I partition are all at the maximum state, the port capacity of Class II partitions 1 and 3 is 10 kVar, and the port capacity of Class II partition 2 is 50 kVar. To accommodate both normal and extreme output scenarios, the ports of the Class II partition access points operate at full regulation, the population size is 50, and the number of iterations is 100.

[0040] Step 32: Combine the optimization strategy, calculate the multi-objective function of the population, then perform fast non-dominated sorting and congestion calculation, and set the number of iterations to the first generation.

[0041] Step 33: Perform the encoding, selection, crossover, and mutation processes in the genetic algorithm, and then merge the offspring and parent populations.

[0042] (1) Coding: Real number coding is used to ensure that the number of decision variables is consistent with the length of the chromosome.

[0043] (2) Selection: A binary competition selection strategy is used to conduct competition among individuals in the parent population. Excellent individuals are selected through non-dominated sorting and crowding degree sorting and placed in the new population.

[0044] (3) Crossover: The crossover operation is performed using the simulated binary crossover operator. The formula is as follows: (25) in, The calculation method is as follows: (26) Where, Represents offspring No. Wikipedia, Indicates selecting the parent Chromosome No. Wikipedia, express Random real numbers in , represents the cross-publication index, which is any non-negative real number.

[0045] (4) Mutation: Using polynomial mutation strategy, the offspring chromosome Wikipedia The calculation formula is: (27) Where, Represented as the parent chromosome Wikipedia, and Represented as the parent chromosome The upper and lower limits of the dimensional gene, The calculation formula is as follows: (28) Where, express Random real numbers in , An index representing the variation.

[0046] Step 34: Based on the merged population, calculate the multi-objective function of the population, then perform fast non-dominated sorting and congestion calculation, then create a new population based on the elite strategy, and finally increase the number of iterations by one.

[0047] Step 35: Compare the current number of iterations with the maximum number of iterations. If the current number of iterations is less than the maximum number of iterations, repeat steps 32 to 34. If the current number of iterations is greater than or equal to the maximum number of iterations, the configuration of the power router port is completed.

[0048] Determining port capacity for Class II zones is similar to determining port capacity for Class I zones, both of which are related to the load adjustability within the zone. The port access points for Class II zones are determined through NSGA-II multi-objective optimization to determine the access point that minimizes network losses and voltage offsets in the distribution network.

[0049] Based on the above, in step 3, the principles for configuring the power router include: each distribution network partition must have at least one power router port; the port through which the power router accesses the distribution network partition should, if possible, be an intermediate node within the distribution network partition; and the port capacity and number of power routers should be kept as low as possible. Constraints include the type of distribution network in which the distribution network partition resides, and the conventional and extreme output of renewable energy within the distribution network partition. The optimization goal is to minimize the network loss and voltage offset of the distribution network. The optimal access node is the one that minimizes both the network loss and voltage offset.

[0050] For the planning problem of power routers, the planning results are more important than the calculation speed. Therefore, this paper does not compare and verify the multi-objective optimization of the NSGA-II algorithm. The optimization results based on this algorithm are shown in Table 4.

[0051]

[0052] Step 4: According to the power router model and cost parameters, the number of power routers to be configured and the corresponding port capacity and port number are determined based on minimizing the power router configuration cost to achieve optimal configuration of the power router.

[0053] Specifically, the number and capacity of energy routers are selected based on the number of ports and model of the energy routers and economic indicators. Next, the model and number of energy routers are optimized. The model and cost parameters of the energy routers are shown in Table 5.

[0054]

[0055] The optimal configuration of power routers aims to reasonably configure the number of power routers and the corresponding port capacity and number, thereby avoiding redundant configuration and ultimately achieving the economic goal of reducing configuration costs. In other words, the expression for minimizing the configuration cost of power routers is:

[0056] Where, represents the configuration cost of the power router, n represents the number of power routers, s represents the number of ports of the i-th power router, represents the basic price of the i-th power router, represents the price of the jth port in the i-th power router.

[0057] The port configuration above shows that the total port capacity is 530 kVar, requiring at least 12 ports. Since power routers have a limited number of ports, adding too many ports may increase the number of power routers required. Therefore, the port requirements for access points are shown in Table 6.

[0058]

[0059] Based on the access point port requirements in Table 6, the optimized configuration solution is shown in Table 7.

[0060]

[0061] As can be seen from Table 5, when there is only one power router, its capacity and port number cannot meet the configuration requirements of medium and low voltage AC and DC. As can be seen from Table 6, there are 3 100kVar ports. If 4 power routers are set up, from the perspective of reducing configuration costs, two 100kVar and 200kVar power routers must be selected. Then, in the matching of power routers and ports, the following two situations will occur: 1) A 100kVar power router is connected to a 100kVar port, and the power mutual assistance function cannot be achieved. 2) A 200kVar power router is connected to two 100kVar ports, resulting in an insufficient number of power router ports. If there are more than 4 power routers, the configuration economy has been lost. As can be seen from Table 6, the solution with the lowest total price for the required power router configuration is to connect three 200kVar power routers to the ports. According to the above solution, the power routers of the medium and low voltage AC and DC distribution systems are configured, and the results are as follows. Figure 5 shown.

[0062] Based on the same inventive concept, another embodiment of the present invention provides a device for optimizing configuration of power routers for distribution network partitioning. The device corresponds to the method of the aforementioned embodiment, and includes: A grouping unit is used to divide the distribution network partition into a partition group containing new energy and a partition group not containing new energy according to whether the distribution network partition contains new energy nodes; The first configuration unit is configured to determine the port capacity of the distribution network partition according to the capacity of the new energy partition group, and configure the port of the power router at the new energy node; The second configuration unit is used to determine the port capacity of the distribution network partition according to the mutual power situation of the distribution network partition for the partition group without new energy, and determine the configuration principle, optimization target and constraint conditions of the power router, and use the NSGA-II algorithm for optimization to determine the optimal access node of the power router; The optimization unit is used to determine the number of power routers that need to be configured and the corresponding port capacity and port number based on the minimization of the power router configuration cost according to the power router model and cost parameters, so as to achieve optimal configuration of the power router.

[0063] Specifically, the power router configuration principles include that each distribution network partition must be configured with at least one power router port, the port where the power router accesses the distribution network partition should be the intermediate node of the distribution network partition as much as possible, and the port capacity and port number of the power router should be as small as possible.

[0064] Constraints include the type of distribution network in which the distribution network is located, and the conventional and extreme outputs of renewable energy sources within the distribution network. The optimization objective is to minimize the network losses and voltage offsets in the distribution network, and the optimal access node is the one that minimizes these losses and voltage offsets.

[0065] The expression for minimizing the configuration cost of the energy router is:

[0066] Where, represents the configuration cost of the power router, n represents the number of power routers, s represents the number of ports of the i-th power router, represents the basic price of the i-th power router, represents the price of the jth port in the i-th power router.

[0067] In summary, the present invention's method and device for optimizing the configuration of power routers for distribution network partitioning is based on the output and regulation characteristics of renewable energy sources within a partitioned distribution network. Based on the distribution network partitioning results, the network partitions are classified. The access points for Class I partitions are renewable energy nodes within the partitions, while the access points for Class II partitions are optimized using the NSGA-II algorithm to select the optimal access nodes. Finally, based on the power router model and cost parameters, the number of power routers required, as well as the corresponding port capacity and number of ports, is determined based on minimizing the power router configuration cost, achieving optimal power router configuration. This allows for a more scientifically optimized configuration of power routers, thereby enabling the transformation and upgrading of distribution networks for new power distribution systems.

[0068] Those skilled in the art will readily appreciate other embodiments of the present invention after considering the specification and practicing the embodiments disclosed herein. The present invention is intended to cover any variations, uses, or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art not disclosed herein. It should be understood that the present invention is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and variations can be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A method for optimizing the configuration of power routers for distribution network partitioning, characterized in that: include: According to whether the distribution network partition contains new energy nodes, the distribution network partition is divided into a new energy partition group and a non-new energy partition group; For the partition group containing new energy, determine the port capacity of the distribution network partition according to the capacity of the new energy, and configure the port of the power router at the new energy node; For the partition group without new energy, the port capacity of the distribution network partition is determined according to the mutual power situation of the distribution network partition, and the configuration principle, optimization target and constraint conditions of the power router are determined. The NSGA-II algorithm is used for optimization to determine the optimal access node of the power router; According to the power router model and cost parameters, the number of power routers that need to be configured and the corresponding port capacity and port number are determined based on minimizing the power router configuration cost, so as to achieve optimal configuration of the power router.

2. The method for optimizing configuration of power routers for distribution network partitioning according to claim 1, characterized in that: The power router configuration principles include that each distribution network partition must be configured with at least one power router port, the port through which the power router accesses the distribution network partition should be an intermediate node of the distribution network partition as much as possible, and the port capacity and port number of the power router should be as small as possible.

3. The method for optimizing the configuration of power routers for distribution network partitioning according to claim 1, characterized in that: The constraint conditions include the type of distribution network in which the distribution network partition is located, and the conventional output and extreme output of new energy in the distribution network partition.

4. The method for optimizing the configuration of power routers for distribution network partitioning according to claim 1, characterized in that: The optimization goal is to minimize the network loss and voltage offset of the distribution network, and the optimal access node is the access node that minimizes the network loss and voltage offset of the distribution network.

5. The method for optimizing configuration of power routers for distribution network partitioning according to claim 1, characterized in that: The expression for minimizing the configuration cost of the power router is: Where, represents the configuration cost of the power router, n represents the number of power routers, s represents the number of ports of the i-th power router, represents the basic price of the i-th power router, represents the price of the jth port in the i-th power router.

6. A power router optimization configuration device for distribution network partitioning, characterized in that: include: A grouping unit is used to divide the distribution network partition into a partition group containing new energy and a partition group not containing new energy according to whether the distribution network partition contains new energy nodes; A first configuration unit is configured to determine, for the partition group containing new energy, the port capacity of the distribution network partition according to the capacity of the new energy, and configure the port of the power router at the new energy node; A second configuration unit is configured to determine, for the partition group not containing new energy, the port capacity of the distribution network partition according to the mutual aid power situation of the distribution network partition, determine the configuration principle, optimization target and constraint conditions of the power router, and use the NSGA-II algorithm for optimization to determine the optimal access node of the power router; The optimization unit is used to determine the number of power routers that need to be configured and the corresponding port capacity and port number based on the minimization of the power router configuration cost according to the power router model and cost parameters, so as to achieve optimal configuration of the power router.

7. The power router optimization configuration device for distribution network partitioning according to claim 6 is characterized in that: The power router configuration principles include that each distribution network partition must be configured with at least one power router port, the port through which the power router accesses the distribution network partition should be an intermediate node of the distribution network partition as much as possible, and the port capacity and port number of the power router should be as small as possible.

8. The power router optimization configuration device for distribution network partitioning according to claim 6, characterized in that: The constraint conditions include the type of distribution network in which the distribution network partition is located, and the conventional output and extreme output of new energy in the distribution network partition.

9. The power router optimization configuration device for distribution network partitioning according to claim 6, characterized in that: The optimization goal is to minimize the network loss and voltage offset of the distribution network, and the optimal access node is the access node that minimizes the network loss and voltage offset of the distribution network.

10. The power router optimization configuration device for distribution network partitioning according to claim 6, characterized in that: The expression for minimizing the configuration cost of the power router is: Where, represents the configuration cost of the power router, n represents the number of power routers, s represents the number of ports of the i-th power router, represents the basic price of the i-th power router, represents the price of the jth port in the i-th power router.

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