A power router optimization configuration method and device for power distribution network partitioning

Abstract

The application provides a power router optimization configuration method and device for power distribution network partitioning, and relates to the technical field of power system planning. According to whether the new energy node is contained in the power distribution network partitioning, the power distribution network partitioning is divided into a new energy containing partitioning group and a new energy not containing partitioning group; for the new energy containing partitioning group, the port capacity of the power distribution network partitioning is determined according to the capacity of the new energy, and the port of the power router is configured at the new energy node; for the new energy not containing partitioning group, the port capacity of the power distribution network partitioning is determined according to the mutual aid power of the power distribution network partitioning, and the power router configuration principle, the optimization target and the constraint condition are determined, the NSGA-II algorithm is adopted for optimization, and the optimal access node of the power router is determined; and finally the power router optimization configuration is realized. The application can realize the power router optimization configuration, and then the transformation and upgrading of the power distribution network of the new power distribution system can be realized.

Description

Technical Field

[0001] This invention relates to the field of power system planning technology, and specifically to a method and apparatus for optimizing the configuration of power routers for distribution network zones. Background Technology

[0002] Driven by the depletion of fossil fuels and environmental issues, building a new power system with a high proportion of new energy sources has become an inevitable trend, and countries around the world are accelerating the development of new energy sources such as wind power and photovoltaics. As a key link directly connecting users at the end, the distribution network is an important component of the new power system, and with the increasing penetration rate of new energy sources, its transformation and upgrading needs are urgent.

[0003] The transformation and upgrading of distribution networks aims to address the issues of energy centralization and redistribution following the large-scale integration of new energy sources. DC distribution networks facilitate the integration of distributed new energy sources and reduce transmission losses; AC distribution networks remain the mainstay of my country's distribution network, and electricity load is primarily AC-based. Therefore, my country's future distribution network will exhibit a coexistence of AC and DC. Currently, AC / DC hybrid connections are a research hotspot in distribution networks both domestically and internationally. my country is using AC / DC hybrid power grids as its backbone to promote the construction of an energy internet primarily based on new energy sources. Because the traditional centralized power control mode of distribution networks (mainly relying on generators to regulate power and frequency) is difficult to achieve active control and distribution, it cannot meet the needs of distribution network transformation and upgrading. Therefore, new distribution equipment is urgently needed to drive the development of the energy internet.

[0004] Against this backdrop, the energy internet architecture achieves interconnection and mutual support of electrical energy by integrating energy and information technology. The power router, as a core device of the energy internet, is proposed based on the "FREEDM" architecture. It integrates information flow and energy flow, enabling efficient transmission of distributed renewable energy. During operation, the power router manages and distributes energy flow according to information flow instructions, leveraging flexible power electronics technology; the information flow uploads energy flow status information to the dispatch center, providing real-time grid status data, which has significant application and promotion value in the transformation and upgrading of distribution networks. Summary of the Invention

[0005] The purpose of this invention is to provide a method and apparatus for optimizing the configuration of power routers for power distribution network partitions, which can solve the problems that existing power distribution networks cannot achieve active control and distribution and cannot meet the requirements of power distribution network transformation and upgrading. It can realize the optimized configuration of power routers, thereby enabling the transformation and upgrading of power distribution networks in new power distribution systems.

[0006] To achieve the above objectives, in a first aspect, the present invention provides a method for optimizing the configuration of power routers for power distribution network partitions, comprising:

[0007] Based on whether the distribution network partition contains new energy nodes, the distribution network partition is divided into a partition group containing new energy nodes and a partition group not containing new energy nodes.

[0008] For zones containing new energy sources, the port capacity of the distribution network zone is determined based on the capacity of the new energy sources, and the ports of the power router are configured at the new energy nodes.

[0009] For distribution network zones without new energy sources, the port capacity of the distribution network zones is determined based on the mutual power situation of the distribution network zones, and the configuration principles, optimization objectives and constraints of the power routers are determined. The NSGA-II algorithm is used for optimization to determine the optimal access node of the power routers.

[0010] Based on the power router model and cost parameters, the number of power routers to be configured, as well as the corresponding port capacity and number of ports, are determined to minimize the configuration cost of power routers, thereby achieving optimized configuration of power routers.

[0011] According to the present invention, a method for optimizing the configuration of power routers for power distribution network sections includes the following principles: each power distribution network section should be configured with at least one port of a power router; the port of the power router connected to the power distribution network section should be as close as possible to the intermediate node of the power distribution network section; and the port capacity and number of power routers should be as small as possible.

[0012] According to the present invention, a power router optimization configuration method for distribution network partitions is provided, wherein the constraints include the distribution network type in which the distribution network partition is located, and the conventional and extreme power outputs of new energy sources in the distribution network partition.

[0013] According to the present invention, a power router optimization configuration method for distribution network partitioning is provided, the optimization objective is to minimize the network loss and voltage deviation of the distribution network, and the optimal access node is the access node that minimizes the network loss and voltage deviation of the distribution network.

[0014] According to the present invention, a method for optimizing the configuration of power routers for distribution network partitioning is provided, and the expression for minimizing the configuration cost of power routers is as follows:

[0015]

[0016] In the formula, Let represent the configuration cost of the power router, n represent the number of power routers, and s represent the number of ports on the i-th power router. Let represent the basic price of the i-th power router. This represents the price of the j-th port in the i-th power router.

[0017] Secondly, the present invention provides a power router optimization configuration device for power distribution network partitions, comprising:

[0018] Grouping unit, used to divide the distribution network partition into a partition group containing new energy and a partition group not containing new energy, based on whether the distribution network partition contains new energy nodes;

[0019] The first configuration unit is used to determine the port capacity of the distribution network zone based on the capacity of the new energy zone for a new energy zone group, and to configure the port of the power router at the new energy node.

[0020] The second configuration unit is used to determine the port capacity of the distribution network partition based on the mutual power situation of the distribution network partition for partitions without new energy partitions, and to determine the configuration principles, optimization objectives and constraints of the power router, and to optimize using the NSGA-II algorithm to determine the optimal access node of the power router.

[0021] The optimization unit is used to determine the number of power routers to be configured, as well as the corresponding port capacity and number of ports, based on the power router model and cost parameters, and to minimize the power router configuration cost, thereby achieving optimized configuration of power routers.

[0022] According to the present invention, a power router optimization configuration device for power distribution network sections includes power router configuration principles such as configuring at least one port of power router in each power distribution network section, the port of power router accessing the power distribution network section should be as close as possible to the intermediate node of the power distribution network section, and the port capacity and number of power routers should be as small as possible.

[0023] According to the present invention, a power router optimization configuration device for distribution network partitions is provided, wherein the constraints include the type of distribution network in which the distribution network partition is located, the conventional output and extreme output of new energy sources in the distribution network partition.

[0024] According to the present invention, a power router optimization configuration device for distribution network partitioning is provided, the optimization objective is to minimize the network loss and voltage deviation of the distribution network, and the optimal access node is the access node that minimizes the network loss and voltage deviation of the distribution network.

[0025] According to the present invention, a power router optimization configuration device for power distribution network partitioning is provided, and the expression for minimizing the power router configuration cost is as follows:

[0026]

[0027] In the formula, Let represent the configuration cost of the power router, n represent the number of power routers, and s represent the number of ports on the i-th power router. Let represent the basic price of the i-th power router. This represents the price of the j-th port in the i-th power router.

[0028] The technical solution of the present invention has at least the following technical effects:

[0029] This invention provides a method and apparatus for optimizing the configuration of power routers in a distribution network zoning system. The method starts with the output and regulation characteristics of new energy sources in a distribution network that has already been zoned. Based on the zoning results, the distribution network is classified into zones. For zone I, the access point is a new energy node within the zone; for zone II, the access point is optimized using the NSGA-II algorithm to select the optimal access node. Finally, based on the power router model and cost parameters, the number of power routers required, along with their corresponding port capacity and number of ports, is determined to minimize the configuration cost, thus achieving optimized power router configuration. A specific example is the configuration of power routers for a low-voltage AC / DC distribution system. This method allows for a more scientific optimization of power router configuration, thereby enabling the transformation and upgrading of distribution networks in new power distribution systems. Attached Figure Description

[0030] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0031] In the attached diagram:

[0032] Figure 1 This is a flowchart of the power router optimization configuration method for power distribution network partitioning according to the present invention;

[0033] Figure 2 This is a schematic diagram of the low-voltage AC / DC power distribution system in this invention;

[0034] Figure 3 This is a diagram showing the zoning results of the low-voltage AC / DC distribution network in this invention;

[0035] Figure 4 This is a diagram showing the zoning and grouping results of the low-voltage AC / DC distribution network in this invention;

[0036] Figure 5 This is a diagram showing the configuration result of the power router in the low-voltage AC / DC power distribution system of the present invention. Detailed Implementation

[0037] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0038] The following detailed description of some embodiments of the present invention will be provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0039] Please see Figure 1 This invention provides a method for optimizing the configuration of power routers for power distribution network zones, comprising:

[0040] Step 1: Based on whether the distribution network partition contains new energy nodes, divide the distribution network partition into a partition group containing new energy nodes and a partition group not containing new energy nodes;

[0041] To facilitate a better understanding of the technical solution of this invention, specific examples are provided for illustration.

[0042] Adjustments were made to the IEEE 69-node distribution network to form a medium- and low-voltage AC / DC distribution system connected by power routers, such as... Figure 2 As shown. The distribution network zoning results of this medium and low voltage AC / DC distribution network are as follows. Figure 3 As shown, the specific method of power distribution zoning is not the focus of this invention and will not be elaborated here. The distributed generation parameters are shown in Table 1.

[0043]

[0044] The uncertainty of power output from new energy sources, such as wind and solar power, will put significant pressure on the power regulation of power routers. Therefore, it is necessary to consider both normal and extreme power output scenarios of new energy sources to provide a basis for the configuration of power routers.

[0045] Extreme power output from new energy sources may exceed the control capabilities of power routers, leading to safety issues. In real life, the maximum and minimum solar irradiance occur at noon and at night, respectively, which often correspond to the minimum and maximum wind speeds. Based on this phenomenon, we construct extreme power output scenarios for only two new energy sources, which can be represented as follows:

[0046]

[0047] In the formula, and These represent the output of photovoltaic and wind power under extreme conditions, respectively. and These represent the upper and lower boundaries of 0.95 times the photovoltaic output. and These are the upper and lower boundaries of 0.95 times the wind power output.

[0048] Based on whether a distribution network zone contains renewable energy nodes, the distribution network zones are divided into zones with renewable energy nodes and zones without renewable energy nodes. Figure 4 In this context, zones containing new energy sources are designated as Category I zones, and zones excluding new energy sources are designated as Category II zones. For ease of discussion, Figure 4 The data is further numbered after grouping, for example, Class I partition 1, Class I partition 2, etc.

[0049] Step 2: For zones containing new energy sources, determine the port capacity of the distribution network zone based on the capacity of the new energy sources, and configure the ports of the power routers at the new energy nodes.

[0050] Specifically, the optimization configuration of power routers mainly involves port configuration and the selection of the number of power routers. Table 2 shows the port models and cost parameters of the power routers.

[0051]

[0052] The basic principles for configuring a power router are as follows:

[0053] (1) The distribution network section has the ability to exchange power. Each distribution network section has the ability to exchange power with other distribution network sections, thereby keeping the power balance within the distribution network section. That is, each distribution network section must be equipped with at least one port of the power router.

[0054] (2) New energy nodes within a distribution network zone should be prioritized as access ports for the power router. Power sharing between distribution network zones is one of the main functions of the power router. New energy sources, such as wind power and photovoltaic power, have larger output fluctuations and therefore need to send or absorb power to other nodes and the distribution network zone more frequently than other nodes within the same zone. Therefore, prioritizing new energy nodes as access ports for the power router will not only improve the speed of power sharing but also reduce losses caused by power flow.

[0055] (3) The port of the power router connected to the distribution network section should be, as far as possible, an intermediate node of that distribution network section. When the mutual assistance power reaches the port node of the distribution network section (the node connected to the port of the power router), the mutual assistance power will flow from that port node to other nodes in the distribution network section, causing some power loss. The magnitude of the loss is closely related to the distance the power flows. Therefore, the port node should be, as far as possible, an intermediate node of the distribution network section.

[0056] (4) The port capacity and number of ports of the power router should be as small as possible. Too many ports will lead to a surge in construction costs.

[0057] According to the configuration principles, the port access points for Class I zones are selected as the wind / photovoltaic unit access nodes for each zone. The port type is related to the distribution network type of the zone, and the port capacity is related to the inter-zone power transfer under different conditions. Taking Class I zone 4 as an example, since Class I zone 4 is located in a 10kV AC distribution network, its port type is selected as AC / DC. Under normal output conditions, the renewable energy output of this zone is 72kW, while the adjustable load within the zone is only 44.68kW. The remaining 27.32kW needs to be transferred through the port for power transfer, and in this case, a port capacity of 30kVar is sufficient. Under extreme output conditions, the renewable energy output of this zone is 160kW. Based on the maximum load adjustment within the zone, the remaining 115.32kW needs to be transferred through the port for power transfer, and in this case, a port capacity of 120kVar is required. This can be achieved by selecting one port with a capacity of 20kVar and one with a capacity of 100kVar, or by selecting a port with a capacity of 150kVar. Although port configuration costs are lower through combinations of ports with different capacities, the total configuration cost of a power router does not necessarily decrease as the number of ports increases. Therefore, only the location of the ports and the required capacity of the ports are determined here. The method for selecting the model of the remaining ports in Class I partition is the same as that for Class I partition 4. The port configuration results for Class I partition are shown in Table 3.

[0058]

[0059] Step 3: For distribution network zones without new energy sources, determine the port capacity of the distribution network zones based on the mutual power situation of the distribution network zones, and determine the configuration principles, optimization objectives and constraints of the power routers. Use the NSGA-II algorithm (Non-dominated sorting genetic algorithm II) for optimization to determine the optimal access node of the power routers.

[0060] Specifically, for zones without new energy sources, the port capacity is first determined based on the mutual power situation of the zones, and then the NSGA-II algorithm is used to select the port access nodes. The specific process is as follows:

[0061] Step 31: Determine the decision variable as the port position of the power router, initialize the port position of each power router without a new energy zone, and determine the number of populations in each generation and the maximum number of iterations.

[0062] In this embodiment, the simulation settings are as follows: the load regulation capacity in Class I partitions is at its maximum, the port capacity of Class II partitions 1 and 3 is 10kVar, and the port capacity of Class II partition 2 is 50kVar. In order to be suitable for both normal and extreme power output scenarios, the ports of the access points in Class II partitions are fully regulated, the population size is 50, and the number of iterations is 100.

[0063] Step 32: Combine the optimization strategy to calculate the multi-objective function of the population, then perform fast non-dominated sorting and crowding calculation, and set the number of iterations to the first generation.

[0064] Step 33: Perform the encoding, selection, crossover, and mutation processes in the genetic algorithm, and then merge the offspring and parent populations.

[0065] (1) Encoding: Real number encoding is used to ensure that the number of decision variables is consistent with the length of the chromosome.

[0066] (2) Selection: A binary competition selection strategy is adopted to compete among individuals in the parent population. Excellent individuals are selected by non-dominated sorting and crowding size sorting and are put into the new population.

[0067] (3) Crossover: The crossover operation is performed using a simulated binary crossover operator, as shown in the following formula:

[0068] (25)

[0069] in, The calculation method is as follows:

[0070] (26)

[0071] In the formula, Indicates offspring The Vigene, Indicates the selection of the parent generation Chromosome number 1 Vigene, express Random real numbers within, This represents the cross-issuance index, which is any non-negative real number.

[0072] (4) Mutation: A polynomial mutation strategy is adopted, and the offspring chromosome's 3rd chromosome is mutated. Vigene The formula for calculation is:

[0073] (27)

[0074] In the formula, Represented as the paternal chromosome number 1 Vigene, and Represented as the paternal chromosome number 1 The upper and lower limits of the gene, The calculation formula is as follows:

[0075] (28)

[0076] In the formula, express Random real numbers within, An index representing variation.

[0077] Step 34: Calculate the multi-objective function of the merged population, then perform fast non-dominated sorting and crowding calculation, then generate a new population according to the elitist strategy, and finally increment the iteration count by one.

[0078] 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 complete.

[0079] The determination of port capacity for Class II zones is similar to that for Class I zones, both being related to the adjustability of the load within the zone. However, the port access points for Class II zones need to be confirmed through NSGA-II multi-objective optimization to find the access points that minimize network losses and voltage deviations in the distribution network.

[0080] Based on the foregoing, in step 3, the configuration principles for the power router include: each distribution network section must be configured with at least one port of the power router; the port of the power router connected to the distribution network section should be, as far as possible, an intermediate node within the distribution network section; and the port capacity and number of the power router should be minimized. Constraints include the type of distribution network in which the distribution network section is located, and the conventional and extreme power outputs of new energy sources within the distribution network section. The optimization objective is to minimize the network loss and voltage deviation of the distribution network, and the optimal access node is the access node that minimizes the network loss and voltage deviation of the distribution network.

[0081] For the planning problem of power routers, the planning result is far more important than the computation speed. Therefore, this invention 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.

[0082]

[0083] Step 4: Based on the power router model and cost parameters, determine the number of power routers to be configured, as well as the corresponding port capacity and number of ports, based on minimizing the power router configuration cost, to achieve optimized power router configuration.

[0084] Specifically, the number and capacity of the power routers are selected based on the number of ports and model, taking into account economic factors. Next, the model and quantity of power routers are optimized. The model and cost parameters of the power routers are shown in Table 5.

[0085]

[0086] The optimized configuration of power routers aims to rationally allocate the number of power routers and their corresponding port capacity and quantity, thereby avoiding redundant configuration and ultimately achieving the economic goal of reducing configuration costs. The expression for minimizing the configuration cost of power routers is:

[0087]

[0088] In the formula, Let represent the configuration cost of the power router, n represent the number of power routers, and s represent the number of ports on the i-th power router. Let represent the basic price of the i-th power router. This represents the price of the j-th port in the i-th power router.

[0089] As shown in the port configuration above, the total port capacity is 530kVar, requiring at least 12 ports. Since the number of ports on a power router is limited, adding too many ports may increase the number of power routers needed. Therefore, the port requirements for the access point are shown in Table 6.

[0090]

[0091] Based on the access point port requirements in Table 6, the optimized configuration scheme is shown in Table 7.

[0092]

[0093] Table 5 shows that with only one power router, its capacity and number of ports cannot meet the configuration requirements of medium and low voltage AC / DC power distribution systems. Table 6 shows that with three 100kVar ports, if four power routers are configured, from the perspective of reducing configuration costs, two 100kVar and two 200kVar power routers must be selected. In this case, the following two situations will occur in the matching of power routers and ports: 1) One 100kVar power router connected to one 100kVar port cannot achieve power sharing. 2) One 200kVar power router connected to two 100kVar ports results in an insufficient number of power router ports. If there are more than four power routers, the configuration becomes uneconomical. Table 6 shows that the lowest total cost configuration scheme for power routers requires three 200kVar power routers connected to the ports. Based on the above scheme, the configuration of power routers for the medium and low voltage AC / DC power distribution system is as follows: Figure 5 As shown.

[0094] Based on the same inventive concept, another embodiment of the present invention provides a power router optimization configuration device for distribution network sections. This device corresponds to the method of the foregoing embodiment and includes:

[0095] Grouping unit, used to divide the distribution network partition into a partition group containing new energy and a partition group not containing new energy, based on whether the distribution network partition contains new energy nodes;

[0096] The first configuration unit is used to determine the port capacity of the distribution network zone based on the capacity of the new energy zone for a new energy zone group, and to configure the port of the power router at the new energy node.

[0097] The second configuration unit is used to determine the port capacity of the distribution network partition based on the mutual power situation of the distribution network partition for partitions without new energy partitions, and to determine the configuration principles, optimization objectives and constraints of the power router, and to optimize using the NSGA-II algorithm to determine the optimal access node of the power router.

[0098] The optimization unit is used to determine the number of power routers to be configured, as well as the corresponding port capacity and number of ports, based on the power router model and cost parameters, and to minimize the power router configuration cost, thereby achieving optimized configuration of power routers.

[0099] Specifically, the configuration principles for power routers include that each distribution network section should be configured with at least one port of a power router, the port of the power router connected to the distribution network section should be as close as possible to the intermediate node of the distribution network section, and the port capacity and number of power routers should be as small as possible.

[0100] The constraints include the distribution network type of the distribution network zone, the conventional and extreme power output of new energy sources in the distribution network zone. The optimization objective is to minimize the network loss and voltage deviation of the distribution network, and the optimal access node is the access node that minimizes the network loss and voltage deviation of the distribution network.

[0101] The expression for minimizing the configuration cost of a power router is:

[0102]

[0103] In the formula, Let represent the configuration cost of the power router, n represent the number of power routers, and s represent the number of ports on the i-th power router. Let represent the basic price of the i-th power router. This represents the price of the j-th port in the i-th power router.

[0104] In summary, the present invention provides a method and apparatus for optimizing the configuration of power routers in a power distribution network that has already been partitioned. Starting with the output and regulation characteristics of new energy sources, the method categorizes the power distribution network into partitions based on the partitioning results. For partitions of type I, the access points are the new energy nodes within the partition; for partitions of type II, the access points are optimized using the NSGA-II algorithm to select the optimal access nodes. Finally, based on the power router model and cost parameters, the method determines the number of power routers required, as well as their corresponding port capacity and number of ports, based on minimizing the configuration cost, thus achieving optimized power router configuration. This allows for a more scientific optimization of power router configuration, thereby enabling the transformation and upgrading of the power distribution network in a new type of power distribution system.

[0105] Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the embodiments disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. It should be understood that the invention is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

Claims

1. A method for optimizing the configuration of power routers for power distribution network partitioning, characterized in that, include: Based on whether the distribution network partition contains new energy nodes, the distribution network partition is divided into a partition group containing new energy nodes and a partition group not containing new energy nodes. For the new energy zone group, the port capacity of the distribution network zone is determined according to the capacity of the new energy, and the port of the power router is configured in the new energy node; For the non-new energy zone group, the port capacity of the distribution network zone is determined according to the mutual power situation of the distribution network zone, and the configuration principles, optimization objectives and constraints of the power router are determined. The NSGA-II algorithm is used for optimization to determine the optimal access node of the power router. Based on the power router model and cost parameters, the number of power routers to be configured, as well as the corresponding port capacity and number of ports, are determined to minimize the configuration cost of power routers, thereby achieving optimized configuration of power routers.

2. The method for optimizing the configuration of power routers for distribution network partitions according to claim 1, characterized in that, The configuration principles for the power router include that each power distribution network section should be configured with at least one port of the power router, the port of the power router connected to the power distribution network section should be as close as possible to the intermediate node of the power distribution network section, and the port capacity and number of the power router should be as small as possible.

3. The method for optimizing the configuration of power routers for distribution network partitions according to claim 1, characterized in that, The constraints include the type of distribution network in which the distribution network zone is located, as well as the conventional and extreme power outputs of new energy sources in the distribution network zone.

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

5. The method for optimizing the configuration of power routers for distribution network partitions according to claim 1, characterized in that, The expression for minimizing the configuration cost of the power router is: In the formula, Let represent the configuration cost of the power router, n represent the number of power routers, and s represent the number of ports on the i-th power router. This represents the basic price of the i-th power router. This represents the price of the j-th port in the i-th power router.

6. A power router optimization configuration device for power distribution network zoning, characterized in that, include: Grouping unit, used to divide the distribution network partition into a partition group containing new energy and a partition group not containing new energy, based on whether the distribution network partition contains new energy nodes; The first configuration unit is used to determine the port capacity of the power distribution network partition based on the capacity of the new energy, and configure the port of the power router at the new energy node for the new energy partition group containing new energy; The second configuration unit is used to determine the port capacity of the power distribution network zone based on the mutual assistance power situation of the power distribution network zone for the non-new energy zone group, and to determine the power router configuration principles, optimization objectives and constraints, and to optimize using the NSGA-II algorithm to determine the optimal access node of the power router. The optimization unit is used to determine the number of power routers to be configured, as well as the corresponding port capacity and number of ports, based on the power router model and cost parameters, and to minimize the power router configuration cost, thereby achieving optimized configuration of power routers.

7. The power router optimization configuration device for distribution network zoning according to claim 6, characterized in that, The configuration principles for the power router include that each power distribution network section should be configured with at least one port of the power router, the port of the power router connected to the power distribution network section should be as close as possible to the intermediate node of the power distribution network section, and the port capacity and 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 constraints include the type of distribution network in which the distribution network zone is located, as well as the conventional and extreme power outputs of new energy sources in the distribution network zone.

9. The power router optimization configuration device for distribution network zoning according to claim 6, characterized in that, The optimization objective is to minimize the network loss and voltage deviation of the distribution network, and the optimal access node is the access node that minimizes the network loss and voltage deviation 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: In the formula, Let represent the configuration cost of the power router, n represent the number of power routers, and s represent the number of ports on the i-th power router. This represents the basic price of the i-th power router. This represents the price of the j-th port in the i-th power router.

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