A power distribution network tie switch configuration optimization method and terminal based on toughness improvement

Abstract

The application discloses a power distribution network tie switch configuration optimization method and terminal based on resilience improvement, and establishes a tie switch configuration optimization model based on power distribution network structure parameters, maximum number of tie switches, tie line assembly position set, predicted fault scene set, remote control switch assembly position, distributed power supply assembly position and capacity, and bus load shedding cost parameters, the model taking the minimum power distribution network load shedding cost caused by extreme weather disasters as an objective function, the constraint conditions of the model including tie switch configuration constraints before disasters and power distribution network topology constraints in the load recovery stage after disasters, coordinating the action processes of remote control switches and tie switches, transferring loads to other power supply paths, ensuring the rapid recovery of key loads after disasters, and comprehensively improving the resistance and recovery capabilities of the power distribution system to extreme weather, so that the resilience level of the power distribution system is effectively improved.

Description

Technical Field

[0001] This invention relates to the field of distribution network optimization technology, and in particular to a method and terminal for optimizing the configuration of distribution network tie switches based on resilience enhancement. Background Technology

[0002] Modern urban power distribution systems can maintain the normal operation of most loads under weather-related disturbances such as continuous rainfall, snowfall, and strong winds. However, some low-probability extreme weather events can still have a significant impact on power distribution systems, leading to long-term, large-scale power outages and causing substantial economic losses. Located at the end of the power system, the distribution network is more vulnerable than the main grid. Furthermore, unlike the mesh topology of the transmission network, the distribution network has a radial tree topology. Its inherent power resource density characteristics also make it more sensitive to extreme disasters. Therefore, building resilient distribution systems has become a new challenge facing today's power systems.

[0003] When extreme events cause line faults, the power supply path to some loads in the distribution system is cut off, thus failing to guarantee load demand and resulting in load loss. By rapidly operating remote control switches and tie switches, the load can be transferred to other power supply paths, thereby restoring the load. Therefore, optimizing the configuration of distribution network tie switches is of great significance for accelerating the recovery of critical loads after disasters and improving the resilience of the distribution system. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a method and terminal for optimizing the configuration of distribution network interconnection switches based on resilience enhancement, which can effectively improve the resilience level of the distribution system.

[0005] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows: A method for optimizing the configuration of distribution network tie switches based on resilience enhancement includes the following steps: Obtain power distribution network structure parameters, maximum number of tie switches, tie line assembly location set, predicted fault scenario set, remote control switch assembly location, distributed power source assembly location and capacity, and bus load shedding cost parameters. Based on the power distribution network structure parameters, the maximum number of tie switches, the set of tie line installation locations, the set of predicted fault scenarios, the installation locations of remote control switches, the installation locations and capacities of distributed power sources, and the bus load shedding cost parameters, a tie switch configuration optimization model is established. The tie switch configuration optimization model takes minimizing the power distribution network load shedding cost caused by extreme weather disasters as its objective function. Establish the constraints for the tie switch configuration optimization model, including tie switch configuration constraints in the pre-disaster stage and distribution network topology constraints in the post-disaster load recovery stage; The optimal tie switch configuration scheme is obtained by solving the objective function and the constraints.

[0006] To solve the above-mentioned technical problems, another technical solution adopted by the present invention is as follows: A distribution network interconnection switch configuration optimization terminal based on resilience enhancement includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it performs the following steps: Obtain power distribution network structure parameters, maximum number of tie switches, tie line assembly location set, predicted fault scenario set, remote control switch assembly location, distributed power source assembly location and capacity, and bus load shedding cost parameters. Based on the power distribution network structure parameters, the maximum number of tie switches, the set of tie line installation locations, the set of predicted fault scenarios, the installation locations of remote control switches, the installation locations and capacities of distributed power sources, and the bus load shedding cost parameters, a tie switch configuration optimization model is established. The tie switch configuration optimization model takes minimizing the power distribution network load shedding cost caused by extreme weather disasters as its objective function. Establish the constraints for the tie switch configuration optimization model, including tie switch configuration constraints in the pre-disaster stage and distribution network topology constraints in the post-disaster load recovery stage; The optimal tie switch configuration scheme is obtained by solving the objective function and the constraints.

[0007] The beneficial effects of this invention are as follows: Based on the distribution network structure parameters, the maximum number of tie switches, the set of tie line installation locations, the set of predicted fault scenarios, the installation locations of remote control switches, the installation locations and capacities of distributed power sources, and the bus load shedding cost parameters, an optimization model for tie switch configuration is established. This model takes minimizing the load shedding cost of the distribution network caused by extreme weather disasters as its objective function. The constraints of this model include tie switch configuration constraints in the pre-disaster stage and distribution network topology constraints in the post-disaster load recovery stage. By coordinating the operation processes of remote control switches and tie switches, the load is transferred to other power supply paths, ensuring the rapid recovery of critical loads after a disaster. This comprehensively improves the distribution system's resilience and recovery capabilities against extreme weather, thereby effectively enhancing the resilience level of the distribution system. Attached Figure Description

[0008] Figure 1 This is a flowchart illustrating the steps of a distribution network interconnection switch configuration optimization method based on resilience enhancement, according to an embodiment of the present invention. Figure 2This is a schematic diagram of the structure of a distribution network interconnection switch configuration optimization terminal based on resilience enhancement, according to an embodiment of the present invention. Figure 3 This is a schematic diagram of an IEEE 33-node distribution system example in the distribution network tie switch configuration optimization method based on resilience enhancement according to an embodiment of the present invention. Figure 4 This is a schematic diagram of the optimal tie switch configuration scheme in the distribution network tie switch configuration optimization method based on resilience enhancement according to an embodiment of the present invention. Detailed Implementation

[0009] To explain in detail the technical content, objectives, and effects of the present invention, the following description is provided in conjunction with the embodiments and accompanying drawings.

[0010] Please refer to Figure 1 A method for optimizing the configuration of distribution network tie switches based on resilience enhancement includes the following steps: Obtain power distribution network structure parameters, maximum number of tie switches, tie line assembly location set, predicted fault scenario set, remote control switch assembly location, distributed power source assembly location and capacity, and bus load shedding cost parameters. Based on the power distribution network structure parameters, the maximum number of tie switches, the set of tie line installation locations, the set of predicted fault scenarios, the installation locations of remote control switches, the installation locations and capacities of distributed power sources, and the bus load shedding cost parameters, a tie switch configuration optimization model is established. The tie switch configuration optimization model takes minimizing the power distribution network load shedding cost caused by extreme weather disasters as its objective function. Establish the constraints for the tie switch configuration optimization model, including tie switch configuration constraints in the pre-disaster stage and distribution network topology constraints in the post-disaster load recovery stage; The optimal tie switch configuration scheme is obtained by solving the objective function and the constraints.

[0011] As can be seen from the above description, the beneficial effects of the present invention are as follows: Based on the distribution network structure parameters, the maximum number of tie switches, the set of tie line assembly locations, the set of predicted fault scenarios, the assembly locations of remote control switches, the assembly locations and capacities of distributed power sources, and the bus load shedding cost parameters, an optimization model for tie switch configuration is established. This model takes the minimum cost of load shedding in the distribution network caused by extreme weather disasters as its objective function. The constraints of this model include tie switch configuration constraints in the pre-disaster stage and distribution network topology constraints in the post-disaster load recovery stage. By coordinating the operation processes of remote control switches and tie switches, the load is transferred to other power supply paths, ensuring the rapid recovery of critical loads after a disaster. This comprehensively improves the distribution system's resistance and recovery capabilities to extreme weather, thereby effectively enhancing the resilience of the distribution system.

[0012] Furthermore, the tie switch configuration optimization model, with the objective function of minimizing the distribution network load shedding cost caused by extreme weather disasters, includes: ; In the formula, p represents the set of fault scenarios. c This represents the probability of fault scenario c. Represents the set of nodes in a power distribution system. This represents the load shedding cost of node i. This represents the active load shedding power of node i during the power distribution system recovery process under fault scenario c.

[0013] As described above, when a distribution network is affected by extreme weather, some lines or buses will fail, leading to power transmission interruptions and reduced system performance. Tie switches are one of the key flexibility resources in the distribution network. After a fault occurs, the distribution network can achieve fault isolation and restoration of critical loads through flexible reconfiguration. Therefore, with the goal of minimizing the load shedding cost of the distribution network caused by extreme weather disasters, determining the optimal location of tie switches and their corresponding post-disaster operating status can effectively improve the distribution system's resilience and recovery capabilities against extreme weather.

[0014] Furthermore, the specific constraints on the pre-disaster phase communication switch configuration are as follows: ; In the formula, This indicates that the power distribution system can be configured with a set of tie lines. This indicates the configuration status of the k-th contact line. Indicates the maximum number of tie lines; The specific topology constraints of the power distribution network during the post-disaster load recovery phase are as follows: ; ; ; ; ; ; In the formula, M represents a preset positive number. Indicates whether node i is the source node under fault scenario c. Let i represent the set of power distribution lines connected to node i. This represents the size of the virtual flow flowing through virtual network branch k under fault scenario c. This indicates the on / off state of system branch k under fault scenario c. Represents the set of system branches. Indicates the number of nodes in the distribution network. This indicates the fault state of system branch k under fault scenario c. This represents the set of branches that are equipped with remote control switches.

[0015] As described above, in the pre-disaster phase, considering the configuration quantity and location of tie lines and tie switches, the economic requirements are met by setting the maximum configuration number of tie lines, and the technical requirements are met by deciding on the configuration location of tie lines. This is coupled with the network reconfiguration measures in the post-disaster load recovery phase to minimize the overall load shedding cost of the post-disaster system. In addition, the distribution network topology constraint in the post-disaster load recovery phase is an improved commodity flow constraint, used to represent the distribution network radial topology. It restricts that only tie switches equipped with tie lines can operate, and only lines equipped with switches can operate.

[0016] Furthermore, the constraints also include fault propagation constraints during the post-disaster load recovery phase: The specific fault propagation constraints during the post-disaster load recovery phase are as follows: ; ; ; ; In the formula, n i，c In the context of fault scenario c, n represents the fault state of node i. j，c This represents the fault state of node j under fault scenario c. This represents the set of power distribution lines connected to node j.

[0017] As described above, the fault propagation constraints during the post-disaster load recovery phase restrict that the nodes at both ends of a closed fault line are both in the fault area, and also restrict that the nodes on both sides of the closed line are simultaneously in the fault area or the non-fault area.

[0018] Furthermore, the constraints also include distribution network operation constraints during the post-disaster load recovery phase; The specific operational constraints of the distribution network during the post-disaster load recovery phase are as follows: ; ; ; ; ; ; ; ; ; ; In the formula, This represents the active power demand of node i. This indicates the active power output of distributed generation in the distribution network. This indicates the magnitude of the active load shedding at node i. Indicates the active power of the tributary power flow. This represents the reactive power demand of node i. This indicates the reactive power output of distributed generation in the distribution network. This indicates the magnitude of reactive load shedding at node i. This indicates the reactive power of the tributary power flow. U represents the voltage at node i under fault scenario c. j，c Let a represent the voltage at node j under fault scenario c. k Indicates the branch resistance, b k U represents the branch reactance. ref Indicates the node voltage reference value. Let k represent the set of nodes connected to line k. This represents the lower limit of the voltage at node i. This represents the upper limit of the voltage at node i. This represents the maximum active power of the tributary power flow. This indicates the maximum reactive power of the tributary power flow. This represents the lower limit of the active power output of distributed generation. This indicates the upper limit of the active power output of the distributed generation. This represents the lower limit of reactive power output of distributed generation. This indicates the upper limit of reactive power output of distributed power sources.

[0019] As described above, the constraints on the operation of the distribution network during the post-disaster load recovery phase include linearized DistFlow power flow equation constraints, node voltage safety constraints, upper and lower limits of power output constraints, and upper and lower limits of load shedding constraints. At the same time, it restricts the magnitude of branch power flow, restricts the flow of power to only closed branches, and restricts the loss of all loads on the bus in the fault area.

[0020] Please refer to Figure 2 A distribution network interconnection switch configuration optimization terminal based on resilience enhancement includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it performs the following steps: Obtain power distribution network structure parameters, maximum number of tie switches, tie line assembly location set, predicted fault scenario set, remote control switch assembly location, distributed power source assembly location and capacity, and bus load shedding cost parameters. Based on the power distribution network structure parameters, the maximum number of tie switches, the set of tie line installation locations, the set of predicted fault scenarios, the installation locations of remote control switches, the installation locations and capacities of distributed power sources, and the bus load shedding cost parameters, a tie switch configuration optimization model is established. The tie switch configuration optimization model takes minimizing the power distribution network load shedding cost caused by extreme weather disasters as its objective function. Establish the constraints for the tie switch configuration optimization model, including tie switch configuration constraints in the pre-disaster stage and distribution network topology constraints in the post-disaster load recovery stage; The optimal tie switch configuration scheme is obtained by solving the objective function and the constraints.

[0021] As can be seen from the above description, the beneficial effects of the present invention are as follows: Based on the distribution network structure parameters, the maximum number of tie switches, the set of tie line assembly locations, the set of predicted fault scenarios, the assembly locations of remote control switches, the assembly locations and capacities of distributed power sources, and the bus load shedding cost parameters, an optimization model for tie switch configuration is established. This model takes the minimum cost of load shedding in the distribution network caused by extreme weather disasters as its objective function. The constraints of this model include tie switch configuration constraints in the pre-disaster stage and distribution network topology constraints in the post-disaster load recovery stage. By coordinating the operation processes of remote control switches and tie switches, the load is transferred to other power supply paths, ensuring the rapid recovery of critical loads after a disaster. This comprehensively improves the distribution system's resistance and recovery capabilities to extreme weather, thereby effectively enhancing the resilience of the distribution system.

[0022] Furthermore, the tie switch configuration optimization model, with the objective function of minimizing the distribution network load shedding cost caused by extreme weather disasters, includes: ; In the formula, p represents the set of fault scenarios. c This represents the probability of fault scenario c. Represents the set of nodes in a power distribution system. This represents the load shedding cost of node i. This represents the active load shedding power of node i during the power distribution system recovery process under fault scenario c.

[0023] As described above, when a distribution network is affected by extreme weather, some lines or buses will fail, leading to power transmission interruptions and reduced system performance. Tie switches are one of the key flexibility resources in the distribution network. After a fault occurs, the distribution network can achieve fault isolation and restoration of critical loads through flexible reconfiguration. Therefore, with the goal of minimizing the load shedding cost of the distribution network caused by extreme weather disasters, determining the optimal location of tie switches and their corresponding post-disaster operating status can effectively improve the distribution system's resilience and recovery capabilities against extreme weather.

[0024] Furthermore, the specific constraints on the pre-disaster phase communication switch configuration are as follows: ; In the formula, This indicates that the power distribution system can be configured with a set of tie lines. This indicates the configuration status of the k-th contact line. Indicates the maximum number of tie lines; The specific topology constraints of the power distribution network during the post-disaster load recovery phase are as follows: ; ; ; ; ; ; In the formula, M represents a preset positive number. Indicates whether node i is the source node under fault scenario c. Let i represent the set of power distribution lines connected to node i. This represents the size of the virtual flow flowing through virtual network branch k under fault scenario c. This indicates the on / off state of system branch k under fault scenario c. Represents the set of system branches. Indicates the number of nodes in the distribution network. This indicates the fault state of system branch k under fault scenario c. This represents the set of branches that are equipped with remote control switches.

[0025] As described above, in the pre-disaster phase, considering the configuration quantity and location of tie lines and tie switches, the economic requirements are met by setting the maximum configuration number of tie lines, and the technical requirements are met by deciding on the configuration location of tie lines. This is coupled with the network reconfiguration measures in the post-disaster load recovery phase to minimize the overall load shedding cost of the post-disaster system. In addition, the distribution network topology constraint in the post-disaster load recovery phase is an improved commodity flow constraint, used to represent the distribution network radial topology. It restricts that only tie switches equipped with tie lines can operate, and only lines equipped with switches can operate.

[0026] Furthermore, the constraints also include fault propagation constraints during the post-disaster load recovery phase: The specific fault propagation constraints during the post-disaster load recovery phase are as follows: ; ; ; ; In the formula, n i，c In the context of fault scenario c, n represents the fault state of node i. j，c This represents the fault state of node j under fault scenario c. This represents the set of power distribution lines connected to node j.

[0027] As described above, the fault propagation constraints during the post-disaster load recovery phase restrict that the nodes at both ends of a closed fault line are both in the fault area, and also restrict that the nodes on both sides of the closed line are simultaneously in the fault area or the non-fault area.

[0028] Furthermore, the constraints also include distribution network operation constraints during the post-disaster load recovery phase; The specific operational constraints of the distribution network during the post-disaster load recovery phase are as follows: ; ; ; ; ; ; ; ; ; ; In the formula, This represents the active power demand of node i. This indicates the active power output of distributed generation in the distribution network. This indicates the magnitude of the active load shedding at node i. Indicates the active power of the tributary power flow. This represents the reactive power demand of node i. This indicates the reactive power output of distributed generation in the distribution network. This indicates the magnitude of reactive load shedding at node i. This indicates the reactive power of the tributary power flow. U represents the voltage at node i under fault scenario c. j，c Let a represent the voltage at node j under fault scenario c. k Indicates the branch resistance, b k U represents the branch reactance. ref Indicates the node voltage reference value. Let k represent the set of nodes connected to line k. This represents the lower limit of the voltage at node i. This represents the upper limit of the voltage at node i. This represents the maximum active power of the tributary power flow. This indicates the maximum reactive power of the tributary power flow. This represents the lower limit of the active power output of distributed generation. This indicates the upper limit of the active power output of the distributed generation. This represents the lower limit of reactive power output of distributed generation. This indicates the upper limit of reactive power output of distributed power sources.

[0029] As described above, the constraints on the operation of the distribution network during the post-disaster load recovery phase include linearized DistFlow power flow equation constraints, node voltage safety constraints, upper and lower limits of power output constraints, and upper and lower limits of load shedding constraints. At the same time, it restricts the magnitude of branch power flow, restricts the flow of power to only closed branches, and restricts the loss of all loads on the bus in the fault area.

[0030] The above-described method and terminal for optimizing the configuration of distribution network interconnection switches based on resilience enhancement are applicable to distribution networks where extreme weather events may occur. The following detailed embodiments illustrate this method: Please refer to Figure 1 , Figure 3 and Figure 4 Embodiment 1 of the present invention is as follows: A method for optimizing the configuration of distribution network tie switches based on resilience enhancement includes the following steps: S1. Obtain power distribution network structure parameters, maximum number of tie switches, tie line assembly location set, predicted fault scenario set, remote control switch assembly location, distributed power source assembly location and capacity, and bus load shedding cost parameters.

[0031] S2. Based on the distribution network structure parameters, the maximum number of tie switches, the set of tie line installation locations, the set of predicted fault scenarios, the installation locations of remote control switches, the installation locations and capacities of distributed power sources, and the bus load shedding cost parameters, an optimization model for tie switch configuration is established. The optimization model takes minimizing the distribution network load shedding cost caused by extreme weather disasters as its objective function. Specifically: ; In the formula, p represents the set of fault scenarios. c This represents the probability of fault scenario c. Represents the set of nodes in a power distribution system. This represents the load shedding cost of node i. This represents the active load shedding power of node i during the power distribution system recovery process under fault scenario c.

[0032] When a distribution network is affected by extreme weather, some lines or buses will fail, leading to power transmission interruptions and reduced system performance. Tie switches are one of the key flexibility resources in a distribution network; after a fault occurs, the distribution network can achieve fault isolation and restoration of critical loads through flexible reconfiguration. Therefore, the above formula, aiming to minimize the load shedding cost of the distribution network caused by extreme weather disasters, determines the optimal location of tie switches and their corresponding post-disaster operating states, which is beneficial to improving the resilience of the distribution network.

[0033] S3. Establish the constraints of the tie switch configuration optimization model. The constraints include tie switch configuration constraints in the pre-disaster stage, distribution network topology constraints in the post-disaster load recovery stage, fault propagation constraints in the post-disaster load recovery stage, and distribution network operation constraints in the post-disaster load recovery stage.

[0034] The specific constraints on the pre-disaster phase communication switch configuration are as follows: ; In the formula, This indicates that the power distribution system can be configured with a set of tie lines. This represents the configuration status of the k-th tie-in, and is a 0-1 variable. If the k-th tie-in is selected to be configured in the system, then... =1, otherwise... =0, Indicates the maximum number of tie lines.

[0035] In the pre-disaster phase, considering the configuration quantity and location of tie lines and tie switches, under the above constraints: the economic requirements are met by setting the maximum configuration number of tie lines; the technical requirements are met by deciding on the configuration location of tie lines, that is, coupling with the network reconstruction measures in the post-disaster load recovery phase, so as to minimize the overall load shedding cost of the post-disaster system.

[0036] The specific topology constraints of the power distribution network during the post-disaster load recovery phase are as follows: ; ; ; ; ; ; In the formula, M represents a preset positive number. This variable, denoted by 0-1, indicates whether node i is the source node in fault scenario c. If node i is the source node in fault scenario c, then... =1, otherwise... =0, Let i represent the set of power distribution lines connected to node i. This represents the size of the virtual flow flowing through virtual network branch k under fault scenario c. This represents the on / off state of system branch k under fault scenario c, and is a 0-1 variable. If system branch k is closed under fault scenario c, then... =1, otherwise... =0, Represents the set of system branches. Indicates the number of nodes in the distribution network. This represents the fault state of system branch k under fault scenario c, and is a 0-1 variable. If system branch k fails under fault scenario c, then... =1, otherwise... =0, This represents the set of branches that are equipped with remote control switches.

[0037] The first four constraints in the distribution network topology constraints during the post-disaster load recovery phase are improved commodity flow constraints, used to represent the radial topology of the distribution network. The fifth constraint restricts that only tie switches with tie lines installed can operate; the sixth constraint restricts that only lines equipped with switches can operate.

[0038] The specific fault propagation constraints during the post-disaster load recovery phase are as follows: ; ; ; ; In the formula, n i，c Let n represent the fault state of node i under fault scenario c, and be a 0-1 variable. If node i fails under fault scenario c, then n... i，c =1, otherwise n i，c =0, n j，c Let n represent the fault state of node j in fault scenario c, and be a 0-1 variable. If node i fails in fault scenario c, then n... j，c =1, otherwise n j，c =0, This represents the set of power distribution lines connected to node j.

[0039] The first and second constraints in the fault transmission constraints of the post-disaster load recovery phase restrict the nodes at both ends of the closed fault line to be in the fault area, while the third and fourth constraints indicate that the nodes on both sides of the closed line are simultaneously in the fault area or the non-fault area.

[0040] The specific operational constraints of the distribution network during the post-disaster load recovery phase are as follows: ; ; ; ; ; ; ; ; ; ; In the formula, This represents the active power demand of node i. This indicates the active power output of distributed generation in the distribution network. This indicates the magnitude of the active load shedding at node i. Indicates the active power of the tributary power flow. This represents the reactive power demand of node i. This indicates the reactive power output of distributed generation in the distribution network. This indicates the magnitude of reactive load shedding at node i. This indicates the reactive power of the tributary power flow. U represents the voltage at node i under fault scenario c. j，c Let a represent the voltage at node j under fault scenario c. k Indicates the branch resistance, b kU represents the branch reactance. ref Indicates the node voltage reference value. Let k represent the set of nodes connected to line k. This represents the lower limit of the voltage at node i. This represents the upper limit of the voltage at node i. This represents the maximum active power of the tributary power flow. This indicates the maximum reactive power of the tributary power flow. This represents the lower limit of the active power output of distributed generation. This indicates the upper limit of the active power output of the distributed generation. This represents the lower limit of reactive power output of distributed generation. This indicates the upper limit of reactive power output of distributed power sources.

[0041] The first and second constraints in the distribution network operation constraints during the post-disaster load recovery phase are linearized DistFlow power flow equation constraints; the third and fourth constraints are node voltage safety constraints; the fifth and sixth constraints limit the branch power flow magnitude, and the variables... Power flow is restricted to closed branches only; the seventh and eighth constraints are upper and lower limits for power output; the ninth and tenth constraints are upper and lower limits for load shedding. (Variables...) The busbar in the restricted fault area lost all load.

[0042] S4. Solve the tie switch configuration optimization model based on the objective function and the constraints to obtain the optimal tie switch configuration scheme.

[0043] The optimal tie switch configuration scheme includes the tie switch mounting position and the different working states (i.e., open or closed) of the tie switch corresponding to different system fault conditions in the predicted fault scenario set.

[0044] In one alternative implementation, it further includes: S5. The ability of the distribution network to cope with extreme weather after adopting the optimal tie switch configuration scheme is evaluated using a distribution network resilience index based on area definition, and the evaluation results are as follows: ; In the formula, R represents the distribution network resilience index.

[0045] Adopting such Figure 3 The IEEE 33-node power distribution system shown verifies the effectiveness of the proposed method. The system includes 5 controllable distributed power sources, 13 remote control switches, and 10 busbars that can be connected to tie lines. It is assumed that 3 lines will fail, and the maximum number of tie lines that can be installed is set to 3.

[0046] The optimal tie switch configuration scheme for enhancing distribution network resilience is obtained by applying the above-mentioned resilience-enhancing distribution network tie switch configuration optimization method, as follows: Figure 4 As shown, the distribution network tie line is located between BUS9-18, BUS22-25, and BUS29-33. A fault occurred on branches L15, L19, and L31. Therefore, all tie switches closed, and switches on lines L4, L13, L16, L19, L30, and L32 closed, transferring the load to other power supply paths, thereby restoring the loads on BUS20, BUS21, BUS22, and BUS33.

[0047] In existing technologies, the installation locations of tie lines and tie switches are usually given, and other flexible resources are mobilized to accelerate the post-disaster recovery process of the power distribution system. However, the role of optimal configuration of tie lines and tie switches in improving the resilience of the power distribution network is ignored. Compared with existing technologies, this invention comprehensively considers the operation of remote control switches and tie switches, formulates optimal configuration strategies for power distribution network tie lines and optimal post-disaster network reconstruction strategies, ensures the rapid recovery of critical loads after a disaster, and comprehensively improves the resilience and recovery capabilities of the power distribution system against extreme weather, thereby effectively improving the resilience level of the power distribution system.

[0048] Please refer to Figure 2 Embodiment two of the present invention is as follows: A distribution network tie switch configuration optimization terminal based on resilience enhancement includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the various steps in the distribution network tie switch configuration optimization method based on resilience enhancement in Embodiment 1.

[0049] In summary, this invention provides a method and terminal for optimizing the configuration of tie switches in a distribution network based on resilience enhancement. It establishes an optimization model for tie switch configuration based on distribution network structural parameters, the maximum number of tie switches, the set of tie line installation locations, the set of predicted fault scenarios, the installation locations of remote control switches, the installation locations and capacities of distributed power sources, and bus load shedding cost parameters. This model takes minimizing the load shedding cost caused by extreme weather disasters as its objective function. The model's constraints include tie switch configuration constraints in the pre-disaster stage and distribution network topology constraints in the post-disaster load recovery stage. By coordinating the operation processes of remote control switches and tie switches, it transfers loads to other power supply paths, ensuring rapid recovery of critical loads after a disaster. This comprehensively improves the distribution system's resilience and recovery capabilities against extreme weather, thereby effectively enhancing the distribution system's resilience level. Simultaneously, by minimizing the load shedding cost caused by extreme weather disasters, the optimal tie switch configuration location and its corresponding post-disaster operating state are determined, effectively improving the distribution system's resilience and recovery capabilities against extreme weather.

[0050] The above description is merely an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent modifications made based on the content of the present invention specification and drawings, or direct or indirect applications in related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for optimizing the configuration of distribution network tie switches based on resilience enhancement, characterized in that, Including the following steps: Obtain power distribution network structure parameters, maximum number of tie switches, tie line assembly location set, predicted fault scenario set, remote control switch assembly location, distributed power source assembly location and capacity, and bus load shedding cost parameters. Based on the power distribution network structure parameters, the maximum number of tie switches, the set of tie line installation locations, the set of predicted fault scenarios, the installation locations of remote control switches, the installation locations and capacities of distributed power sources, and the bus load shedding cost parameters, a tie switch configuration optimization model is established. The tie switch configuration optimization model takes minimizing the power distribution network load shedding cost caused by extreme weather disasters as its objective function. Establish the constraints for the tie switch configuration optimization model, including tie switch configuration constraints in the pre-disaster stage and distribution network topology constraints in the post-disaster load recovery stage; The optimal tie switch configuration scheme is obtained by solving the objective function and the constraints. The specific constraints on the pre-disaster phase communication switch configuration are as follows: ； In the formula, This indicates that the power distribution system can be configured with a set of tie lines. This indicates the configuration status of the k-th contact line. Indicates the maximum number of tie lines. Represents a set of fault scenarios; The specific topology constraints of the power distribution network during the post-disaster load recovery phase are as follows: ； ； ； ； ； ； In the formula, M represents a preset positive number. Indicates whether node i is the source node under fault scenario c. Let i represent the set of power distribution lines connected to node i. Represents the set of nodes in a power distribution system. This represents the size of the virtual flow flowing through virtual network branch k under fault scenario c. This indicates the on / off state of system branch k under fault scenario c. Represents the set of system branches. Indicates the number of nodes in the distribution network. This indicates the fault state of system branch k under fault scenario c. This refers to the set of branches that are equipped with remote control switches.

2. The method for optimizing the configuration of distribution network interconnection switches based on resilience enhancement according to claim 1, characterized in that, The optimized model for interconnecting switch configuration, with the objective function being to minimize the cost of load shedding in the distribution network caused by extreme weather disasters, includes: ； In the formula, p c This represents the probability of failure scenario c. This represents the load shedding cost of node i. This represents the active load shedding power of node i during the power distribution system recovery process under fault scenario c.

3. The method for optimizing the configuration of distribution network interconnection switches based on resilience enhancement according to claim 1, characterized in that, The constraints also include fault propagation constraints during the post-disaster load recovery phase: The specific fault propagation constraints during the post-disaster load recovery phase are as follows: ； ； ； ； In the formula, n i，c In the context of fault scenario c, n represents the fault state of node i. j，c This represents the fault state of node j under fault scenario c. This represents the set of power distribution lines connected to node j.

4. The method for optimizing the configuration of distribution network interconnection switches based on resilience enhancement according to claim 3, characterized in that, The constraints also include distribution network operation constraints during the post-disaster load recovery phase; The specific operational constraints of the distribution network during the post-disaster load recovery phase are as follows: ； ； ； ； ； ； ； ； ； ； In the formula, This represents the active power demand of node i. This indicates the active power output of distributed generation in the distribution network. This indicates the magnitude of the active load shedding at node i. Indicates the active power of the tributary power flow. This represents the reactive power demand of node i. This indicates the reactive power output of distributed generation in the distribution network. This indicates the magnitude of reactive load shedding at node i. This indicates the reactive power of the tributary power flow. U represents the voltage at node i under fault scenario c. j，c Let a represent the voltage at node j under fault scenario c. k Indicates the branch resistance, b k U represents the branch reactance. ref Indicates the node voltage reference value. Let k represent the set of nodes connected to line k. This represents the lower limit of the voltage at node i. This represents the upper limit of the voltage at node i. This represents the maximum active power of the tributary power flow. This indicates the maximum reactive power of the tributary power flow. This represents the lower limit of the active power output of distributed generation. This indicates the upper limit of the active power output of the distributed generation. This represents the lower limit of reactive power output of distributed generation. This indicates the upper limit of reactive power output of distributed power sources.

5. A distribution network tie switch configuration optimization terminal based on resilience enhancement, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it performs the following steps: Obtain power distribution network structure parameters, maximum number of tie switches, tie line assembly location set, predicted fault scenario set, remote control switch assembly location, distributed power source assembly location and capacity, and bus load shedding cost parameters. Based on the power distribution network structure parameters, the maximum number of tie switches, the set of tie line installation locations, the set of predicted fault scenarios, the installation locations of remote control switches, the installation locations and capacities of distributed power sources, and the bus load shedding cost parameters, a tie switch configuration optimization model is established. The tie switch configuration optimization model takes minimizing the power distribution network load shedding cost caused by extreme weather disasters as its objective function. Establish the constraints for the tie switch configuration optimization model, including tie switch configuration constraints in the pre-disaster stage and distribution network topology constraints in the post-disaster load recovery stage; The optimal tie switch configuration scheme is obtained by solving the objective function and the constraints. The specific constraints on the pre-disaster phase communication switch configuration are as follows: ； In the formula, This indicates that the power distribution system can be configured with a set of tie lines. This indicates the configuration status of the k-th contact line. Indicates the maximum number of tie lines. Represents a set of fault scenarios; The specific topology constraints of the power distribution network during the post-disaster load recovery phase are as follows: ； ； ； ； ； ； In the formula, M represents a preset positive number. Indicates whether node i is the source node under fault scenario c. Let i represent the set of power distribution lines connected to node i. Represents the set of nodes in a power distribution system. This represents the size of the virtual flow flowing through virtual network branch k under fault scenario c. This indicates the on / off state of system branch k under fault scenario c. Represents the set of system branches. Indicates the number of nodes in the distribution network. This indicates the fault state of system branch k under fault scenario c. This refers to the set of branches that are equipped with remote control switches.

6. A distribution network interconnection switch configuration optimization terminal based on resilience enhancement according to claim 5, characterized in that, The optimized model for interconnecting switch configuration, with the objective function being to minimize the cost of load shedding in the distribution network caused by extreme weather disasters, includes: ； In the formula, p c This represents the probability of fault scenario c. This represents the load shedding cost of node i. This represents the active load shedding power of node i during the power distribution system recovery process under fault scenario c.

7. A distribution network interconnection switch configuration optimization terminal based on resilience enhancement according to claim 5, characterized in that, The constraints also include fault propagation constraints during the post-disaster load recovery phase: The specific fault propagation constraints during the post-disaster load recovery phase are as follows: ； ； ； ； In the formula, n i，c In the context of fault scenario c, n represents the fault state of node i. j，c This represents the fault state of node j under fault scenario c. This represents the set of power distribution lines connected to node j.

8. A distribution network interconnection switch configuration optimization terminal based on resilience enhancement according to claim 7, characterized in that, The constraints also include distribution network operation constraints during the post-disaster load recovery phase; The specific operational constraints of the distribution network during the post-disaster load recovery phase are as follows: ； ； ； ； ； ； ； ； ； ； In the formula, This represents the active power demand of node i. This indicates the active power output of distributed generation in the distribution network. This indicates the magnitude of the active load shedding at node i. Indicates the active power of the tributary power flow. This represents the reactive power demand of node i. This indicates the reactive power output of distributed generation in the distribution network. This indicates the magnitude of reactive load shedding at node i. Indicates the reactive power of the tributary power flow. U represents the voltage at node i under fault scenario c. j，c Let a represent the voltage at node j under fault scenario c. k Indicates the branch resistance, b k U represents the branch reactance. ref Indicates the node voltage reference value. Let k represent the set of nodes connected to line k. This represents the lower limit of the voltage at node i. This represents the upper limit of the voltage at node i. This represents the maximum active power of the tributary power flow. This indicates the maximum reactive power of the tributary power flow. This represents the lower limit of the active power output of distributed generation. This indicates the upper limit of the active power output of the distributed generation. This represents the lower limit of reactive power output of distributed generation. This indicates the upper limit of reactive power output of distributed power sources.

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