Power distribution network power failure time control method and system based on improvement of toughness of power distribution network

Abstract

The invention provides a power distribution network power failure time control method and system based on improvement of the toughness of a power distribution network, and relates to the technical field of power system automation, and the method comprises the steps: forming a power failure network through power-off electric equipment when the power distribution network is in power failure; one node is used for representing one electric device in the power failure network, and load information, power failure information and function role information of each node are obtained; obtaining a dynamic priority coefficient corresponding to each node according to the load information, the power failure information and the function role information of each node; performing island division on the power failure network to obtain a first-aid repair network; and calculating the toughness loss area of the first-aid repair network according to the dynamic priority coefficient, and taking the first-aid repair scheme corresponding to the minimum toughness loss area as a first-aid repair strategy. The power supply recovery priority of the single electric equipment and the toughness loss area of the whole electric equipment are integrated to determine the first-aid repair strategy, and it is guaranteed that the first-aid repair strategy can meet the power supply recovery requirement of the electric equipment.

Description

Technical Field

[0001] The present application relates to the field of power system automation technology, and in particular to a method and system for controlling power outage time of a distribution network based on improving the resilience of the distribution network. Background Art

[0002] With the increasing frequency of extreme disasters caused by global warming, distribution networks, due to their direct connection to terminal equipment and long transmission distances, have become more complex and vulnerable. This vulnerability is evident in widespread power outages during extreme weather events. When a distribution network fails, it is crucial to quickly restore power to key areas and equipment. For example, even a short power outage in key locations like large hospitals, data centers, and emergency command centers can lead to serious consequences such as medical equipment downtime, data loss, and command interruption.

[0003] In the existing technology, fault recovery is separated from emergency repair strategies. Emergency repair strategies are prone to falling into local optimality, that is, power supply to core areas and core equipment is quickly restored, but the resilience of these restored distribution networks is not considered. Quantitative indicators such as the Resilience Gap Area (RGA) are not established for the restored distribution networks. As a result, the spatiotemporal attenuation characteristics of power supply capacity under disaster scenarios cannot be accurately characterized, and the stability of the restored distribution network cannot be guaranteed. This may cause the distribution network to frequently switch between faults and recovery, greatly increasing the probability of damage to core equipment, and failing to achieve the goal of providing stable power supply to core equipment.

[0004] In view of this, the present invention is proposed. Summary of the Invention

[0005] To solve the above technical problems, this application proposes a method and system for controlling power outage time in a distribution network based on improving the resilience of the distribution network. The method divides the power-off electrical equipment into islands to form an emergency repair network, and restores power supply in order of priority based on the priority of the electrical equipment in the emergency repair network. The technical solution is as follows:

[0006] In a first aspect, a method for controlling power outage time of a distribution network based on improving the resilience of the distribution network is provided, comprising:

[0007] When the distribution network is out of power, the power-off devices are monitored by the distribution switch monitoring terminal in the distribution network, and the power-off network is formed by the power-off devices;

[0008] Using a node to represent an electric device in the power outage network, and obtaining load information, power outage information, and functional role information of each node in the power outage network;

[0009] Calculate a dynamic priority coefficient corresponding to each node based on the load information, power outage information, and functional role information of the node, where the dynamic priority coefficient is used to reflect the priority of power restoration for the node;

[0010] Dividing the power outage network into islands to obtain an emergency repair network, wherein the emergency repair network refers to a network consisting of electrical equipment to be restored;

[0011] The resilience loss area of ​​the emergency repair network is calculated according to the dynamic priority coefficient, and the emergency repair plan corresponding to the minimum resilience loss area is used as the emergency repair strategy. The emergency repair strategy is used to restore normal power supply to electrical equipment in the emergency repair network.

[0012] In one possible implementation, after the emergency repair strategy is used to restore normal power supply to the electrical equipment in the emergency repair network, the power outage network is updated according to the recovery results of the electrical equipment and the updated power outage network is re-islanded to obtain a new emergency repair network.

[0013] In one possible implementation, for the new emergency repair network, if there are multiple emergency repair plans that meet the minimum resilience loss area, the emergency repair plan for the electrical equipment whose cumulative power outage time exceeds the maximum power outage threshold is preferentially selected as the new emergency repair strategy.

[0014] In a possible implementation, the dynamic priority coefficient corresponding to the node is calculated using the following formula:

[0015]

[0016] Among them, D i,t represents the actual load of node i at time t, D i,max is the maximum load capacity of node i, T outage,i is the cumulative power outage time of node i, T max is the maximum power outage threshold allowed for node i, and γ is the power outage time weight.

[0017] In a possible implementation, calculating the resilience loss area of ​​the emergency repair network according to the dynamic priority coefficient includes:

[0018] Constructing a toughness loss area function of the emergency repair network;

[0019] Obtaining constraints of the toughness loss area function;

[0020] Calculate the minimum value of the toughness loss area function output under the constraint conditions.

[0021] In a possible implementation, the toughness loss area function is:

[0022] R loss =∑ i∈N λ i,t ×ΔP i ×T repair,i ,

[0023] Among them, λ i,t is the dynamic priority coefficient corresponding to node u, N represents the number of nodes in the emergency repair network, ΔP i represents the load shedding amount of the line where node i is located, T repair,i Indicates the repair time of the line where node i is located.

[0024] In a possible implementation, the constraint conditions include:

[0025] A repair path, wherein the repair personnel must complete the repair of the previous node i-1 and then proceed to the next node i, and each node is only allowed to be repaired once; and

[0026] Emergency repair time: each emergency repair path has a corresponding emergency repair time, and the emergency repair time is obtained by adjusting the power supply sequence of the nodes on the emergency repair path by using an improved Harris Hawk optimization algorithm.

[0027] In a possible implementation, isolating the power outage network to obtain an emergency repair network includes:

[0028] In the power outage network, a distributed power supply device is used as a root node;

[0029] Using a breadth-first search method to find a key node adjacent to the root node, the actual load of the key node being greater than a load threshold;

[0030] Using a depth-first search method to find key nodes that are not adjacent to the root node;

[0031] The key nodes found are all included in the isolated island range to obtain the emergency repair network.

[0032] In a possible implementation, when the found key nodes are included in the island range, the method further includes:

[0033] Determine whether the power supply of the root node meets the power requirements of all key nodes within the island;

[0034] If so, all key nodes within the island range are output as the emergency repair network;

[0035] If not, mobile power devices are added until the total power supply of the root node and the mobile power devices meets the power demand of all key nodes, and all key nodes within the output island range are converted into emergency repair networks.

[0036] Secondly, a distribution network outage time control system based on improving the resilience of the distribution network is provided, including:

[0037] A data generation module is used to obtain the power-off electrical equipment according to the monitoring terminal of the distribution switch in the distribution network when the distribution network is out of power, and form a power outage network by the power-off electrical equipment;

[0038] A data acquisition module, configured to represent an electric device in the power outage network with a node, and to acquire load information, power outage information, and functional role information of each node in the power outage network;

[0039] A data calculation module is used to calculate a dynamic priority coefficient corresponding to each node based on the load information, power outage information and functional role information of each node, wherein the dynamic priority coefficient is used to reflect the power restoration priority of the node;

[0040] a data processing module, configured to island the power outage network to obtain an emergency repair network, wherein the emergency repair network is a network consisting of electrical devices to be restored;

[0041] A data output module is used to calculate the resilience loss area of ​​the emergency repair network according to the dynamic priority coefficient, use the emergency repair plan corresponding to the minimum resilience loss area as the emergency repair strategy, and adopt the emergency repair strategy to restore normal power supply to the electrical equipment in the emergency repair network.

[0042] The technical solutions provided in the embodiments of the present application can achieve the following technical effects:

[0043] (1) First, when the distribution network is out of power, the load information, power outage information, functional role information and other multi-dimensional information of the power-off equipment are obtained. Then, based on the multi-dimensional information, the power restoration priority of each power equipment is obtained to ensure the accuracy of the obtained power restoration priority. Secondly, the power restoration priority of each power equipment and the resilience loss area of ​​the entire power equipment are combined to finally determine the emergency repair strategy. This ensures that the emergency repair strategy can meet the resilience requirements of the distribution network while also giving priority to restoring power equipment with higher priority.

[0044] (2) Based on the obtained emergency repair strategy, the maintenance personnel first restore the power supply of the electrical equipment in the emergency repair network according to the emergency repair strategy, and trigger the redivision of the power outage network according to the restoration results of the electrical equipment, so as to achieve the purpose of dynamically generating the emergency repair network and timely updating the emergency repair strategy for the emergency repair network, ensuring that the emergency repair strategy is the most suitable emergency repair plan for the emergency repair network among multiple emergency repair plans, thereby improving the accuracy of the obtained emergency repair strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required for describing the embodiments of the present application. In the drawings:

[0046] Figure 1 This is a flow chart of a method for controlling power outage time of a distribution network based on improving the resilience of the distribution network provided in an embodiment of the present application;

[0047] Figure 2 This is a block diagram of a distribution network outage time control system based on improving distribution network resilience provided by an embodiment of the present application;

[0048] Figure 3 This is a structural diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0049] The following describes exemplary embodiments of the present application in more detail with reference to the accompanying drawings. Although exemplary embodiments of the present application are shown in the accompanying drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present application and to fully convey the scope of the present application to those skilled in the art.

[0050] It should be noted that the terms "first," "second," and the like in the specification and claims of this application and the accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or precedence. It should be understood that such usage is interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the term "including" and its variations are to be interpreted as open-ended terms meaning "including but not limited to."

[0051] This application provides a method for controlling power outage time of a distribution network based on improving the resilience of the distribution network. Figure 1 As shown, the method may include the following steps S101 to S105:

[0052] Step S101: When a power outage occurs in the distribution network, the power-off devices are monitored by the distribution switch monitoring terminal in the distribution network, and the power-off devices form a power outage network.

[0053] First, after an extreme disaster causes a distribution network line failure, the power switches on the faulty line are immediately disconnected. The power outage network is constructed using the switch status codes of the feeder terminal units (FTUs) deployed in the distribution network. The specific construction process is as follows: First, multiple FTUs on the faulty line are listed and the detection results of each FTU are obtained. The detection results of the FTUs on the faulty line are represented by the following dataset:

[0054] S=[s1,s2,…,s n ], where s1, s2, …, s n They represent the detection results of different FTUs on the fault line. When the FTU detects a forward fault current, it outputs 1. For example, when s1=1, it means that FTU1 detects a forward fault current. If the FTU detects a reverse fault current, it outputs -1. For example, when s2=-1, it means that FTU2 detects a reverse fault current. If there is no fault current, it outputs 0. For example, s n = 0, it means that FTUn has not detected any fault current. In the above example, FTU1, FTU2, and FTUn represent different FTUs.

[0055] Based on the detection results of the FTU on the fault line, a minimization deviation function is constructed as follows:

[0056]

[0057] In formula 1.1, s ′ k is the desired state of the electric switch k, β k is the reliability factor of the FTU used to measure the electrical switch k, β k The value usually ranges from 0.9 to 1.0, s k It represents the test result of the FTU used to measure the electrical switch k, N s Indicates the total number of electrical switches on the fault line.

[0058] The minimized deviation function for each switch is calculated using Equation 1.1. An improved particle swarm algorithm is then used to dynamically adjust the reliability coefficient of the FTU used to measure each switch, improving the accuracy of the calculated minimized deviation value. From the minimized deviation values ​​for each switch, the switch with a value below a preset deviation threshold is selected as the faulty switch. The devices powered by the faulty switch are then de-energized. The network consisting of these de-energized devices is called a blackout network. For example, switch a is installed on line A, and devices b1, b2, and b3 are located on line A. Devices b1, b2, and b3 are all powered on and off by switch a. Therefore, when switch a fails, devices b1, b2, and b3 lose power, forming a blackout network consisting of the de-energized devices b1, b2, and b3.

[0059] Step S102: Use a node to represent an electrical device in the power outage network, and obtain the load information, power outage information, and functional role information of each node in the power outage network. Specifically:

[0060] The load information of a node includes the actual load and maximum load capacity of the node;

[0061] The power outage information of a node includes the accumulated power outage time of the node and the maximum allowed power outage time threshold;

[0062] The functional role information of a node is used to determine the power outage time weight of the node. The greater the actual load of the node, the greater and more important the role played by the node in the power distribution network, so the corresponding power outage time weight is also greater. In this embodiment, the nodes are divided into three levels according to their actual load. The first-level nodes are mainly for key facilities and core equipment, the second-level nodes are mainly for the electrical equipment of industrial and commercial users, and the third-level nodes are mainly for the electrical equipment of residents. The power outage time weights corresponding to the first-level nodes, second-level nodes, and third-level nodes are set to 1, 0.5, and 0.1 respectively. In actual applications, the levels of different nodes can be customized as needed, and the corresponding power outage time weights can be set for nodes of different levels. This is not limited in this embodiment.

[0063] Step S103 : calculating a dynamic priority coefficient corresponding to each node based on the load information, power outage information, and functional role information of each node. The dynamic priority coefficient is used to reflect the power restoration priority of the node.

[0064] The calculation formula for the dynamic priority coefficient corresponding to the node is:

[0065]

[0066] Among them, D i,t represents the actual load of node i at time t, D i,max is the maximum load capacity of node i, T outage,i is the cumulative power outage time of node i, T max is the maximum power outage threshold allowed for node i, γ is the power outage time weight, and usually, γ=0.3.

[0067] Step S104 , dividing the power outage network into islands to obtain an emergency repair network, where the emergency repair network is a network consisting of electrical equipment to be restored.

[0068] First, the distributed generation (DG) devices in the outage network are searched. DG devices are used to provide regular power to electrical equipment in the distribution network and are typically deployed in a dispersed manner. In the outage network, with the DG device as the root node, a breadth-first search (BFS) is first performed to find key nodes adjacent to the root node. Whether a node is a key node is primarily determined by its actual load capacity. In this embodiment, nodes with a load capacity exceeding a threshold or exceeding 80% of the maximum load capacity are considered key nodes. Simultaneously, a depth-first search (DFS) is performed to find key nodes that are far from the root node, i.e., key nodes that are not adjacent to the root node. These two search methods can include multiple key nodes powered by the same DG device within the island range. Therefore, an island is generated for each DG device, and the nodes within the island are powered by the DG device at the root node. In practical applications, nodes may have cross-connected power consumption, so multiple islands with overlapping key nodes can be merged into a single island.

[0069] To ensure the stability of the operation of each node in the island, when the power supply of the DG device in the island is insufficient to support the power demand of all nodes in the island, it is necessary to call on the mobile power device to supplement the remaining power supply. The power of the called mobile power device and DG device meets the following requirements:

[0070] ∑P DG +∑P ESS ≥∑P load +∑P loss , where ∑P DG Represents the total power supply of the DG devices in the island, ∑P ESS Represents the total power supply of the mobile power supply device in the island, ∑P load Represents the total power consumption of all nodes in the island, ∑P loss Indicates the total power consumption of new nodes found and added to the island through BFS and / or DFS.

[0071] If, after invoking the mobile power supply, the power of the mobile power supply and DG devices within the island still does not meet the above conditions, it is necessary to disconnect some nodes within the island. This disconnection rule can prioritize nodes with the lowest actual load or nodes farthest from the root node, although this embodiment does not impose any restrictions. Ultimately, the network consisting of electrical devices within the island that meet the above conditions is used as the emergency repair network. In this embodiment, power is restored to the electrical devices within the emergency repair network first.

[0072] Step S105 , calculating the resilience loss area of ​​the emergency repair network according to the dynamic priority coefficient, taking the emergency repair plan corresponding to the minimum resilience loss area as the emergency repair strategy, and adopting the emergency repair strategy to restore normal power supply to the electrical equipment in the emergency repair network.

[0073] First, based on the load shedding amount of each line in the emergency repair network, the emergency repair time, and the dynamic priority coefficients corresponding to the nodes at both ends of each line, the resilience loss area function of the emergency repair network is constructed, specifically:

[0074] R loss =∑ i∈N λ i,t ×ΔP i ×T repair,i (3.1)

[0075] Among them, λ i,t is the dynamic priority coefficient corresponding to node i, N represents the number of nodes in the emergency repair network, ΔP i Indicates the load shedding amount of the line where node i is located, in KW, T repair,i It represents the emergency repair time of the line where node i is located, in units of h. The emergency repair time includes the travel time of the maintenance personnel from the previous node i-1 to node i and the emergency repair time of node i.

[0076] The above load shedding amount ΔP i It indicates the load that the line where node i is located is forced to cut off after the fault occurs. For each line in the emergency repair network, the corresponding load cutting amount needs to be calculated. Take the line where node i is located as an example: after the power outage of the distribution network, when the line where node i is located cannot carry the original load due to isolation or capacity limitation, it is necessary to cut off part of the load to ensure the safety of the line. In this embodiment, the current, voltage and other information of each line are collected by FTU, and the load demand and capacity limitation of the corresponding line are calculated based on the real-time collected current, voltage and other information, for example: ΔP i =D i，t -P available，i , D i,t It represents the actual load of node i at time t, which is calculated by the current and voltage on the line. available，i It indicates the available power supply capacity of the line, which is also calculated through the current and voltage on the line.

[0077] Then, set the constraints of the toughness loss area function, including:

[0078] 1) Emergency repair path. For the electrical equipment in the emergency repair network, multiple emergency repair paths are automatically generated. It is stipulated that after the maintenance personnel complete the emergency repair of the previous node i-1, they must immediately set off to the next node. In addition, each node is only allowed to be repaired once, that is, the maintenance personnel cannot go back and forth between two nodes, namely:

[0079] Z j =∑ j∈Ω l i,j , where Ω represents the number of nodes in the emergency repair network, i and j represent different nodes in the emergency repair network, and Z j is a variable of 0 or 1. If the maintenance personnel are performing emergency repairs at node j, then Z j =1, otherwise, Z j =0. l i,j It is also a variable of 0 or 1. If the maintenance personnel goes from node i to node j, then l i,j =1, otherwise l i,j =0.

[0080] 2) Emergency repair time. Each emergency repair path has a corresponding emergency repair time. During the emergency repair process, for emergency repair paths where power supply has not been restored, the power switches on the emergency repair paths are in the disconnected state. After the emergency repair is completed, the power supply is restored to the state, that is:

[0081] y l,t =0, where y l,t =0 means that the switch on line l is in the off state at time t; l,t =1, where y l,t =1 indicates that the electric switch on line l is in the closed state at time t, and the power supply to the electrical equipment on line l is restored.

[0082] Based on the repair time constraint, the Improved Harris Hawks Optimization Algorithm (IHHO) is used to dynamically adjust this condition to accelerate convergence. Simply put, IHHO can find the shortest repair time for each repair path by dynamically adjusting the power supply sequence of the nodes in the repair path. Then, the minimum value of the resilience loss area function of the repair network under the two constraints is calculated, specifically:

[0083] minf i =∑ i∈N λ i,t ×ΔP i ×T repair,i (3.2)

[0084] Among them, minf i It represents the minimum value of the toughness loss area function calculated under the above two constraints, which can also be considered as minf i is the toughness loss area function R loss Under the above two constraints, the minimum output value.

[0085] To sum up, this embodiment sets up multiple emergency repair plans (including emergency repair paths and the emergency repair time for each emergency repair path) for the obtained emergency repair network, and ultimately only uses one emergency repair plan corresponding to the minimum resilience loss area as the emergency repair strategy. This emergency repair strategy is used to restore the power supply of electrical equipment in the emergency repair network, ensuring the stability of the main network after the power supply is restored. At the same time, it can also achieve the goal of prioritizing the restoration of electrical equipment with higher priority, reducing the power outage time of key electrical equipment, and reducing economic losses during power outages.

[0086] In one possible implementation, after the emergency repair strategy is adopted to restore the power supply to the electrical equipment in the emergency repair network, the power outage network is updated according to the restoration results. For example, the maintenance personnel restore the power supply to the electrical equipment in the emergency repair network according to the emergency repair strategy, and update the electrical equipment to "power supply restored" in real time after each completion, so that the electrical equipment with restored power is moved out of the power outage network, making it convenient to re-enter step S104 to island the electrical equipment in the updated power outage network to obtain a new emergency repair network, and then re-update the emergency repair strategy according to the method for determining the emergency repair strategy in step S105 in real time. In this embodiment, the emergency repair network is usually updated every 15 minutes. That is to say, the redivision of the power outage network is triggered by the restoration results of the electrical equipment, so as to achieve the purpose of dynamically generating an emergency repair network and timely updating the emergency repair strategy for the emergency repair network.

[0087] In one possible implementation, when selecting a repair strategy for a new repair network, it is still necessary to select the one that satisfies the minimum value output by the resilience loss area function. If there are multiple repair plans that meet the conditions, the repair plan for the electrical equipment whose cumulative power outage time exceeds the maximum power outage threshold is given priority. By closing the power switch used to control the on and off of the electrical equipment that exceeds the limit, power supply to the electrical equipment that exceeds the limit can be quickly restored, thereby reducing the power outage time of such electrical equipment.

[0088] In one possible implementation, after emergency repairs are performed on the power equipment in the emergency repair network according to the emergency repair strategy, a determination is made as to whether the emergency repair strategy covers all power equipment in the emergency repair network. If so, the isolated island is seamlessly connected to the main network, which refers to the network consisting of power equipment that has not been disconnected. At this point, the recovery results no longer need to be used to drive updates to the outage network. Instead, it is necessary to verify that the voltage and frequency of the main network meet the power demand after all power equipment in the isolated island is connected. Otherwise, the recovery results need to be used to drive updates to the outage network, achieving dynamic coordination between improving distribution network resilience and upgrading emergency repair strategies, thereby reducing economic losses during power outages.

[0089] It should be noted that the order of execution of the steps in the above embodiments does not necessarily imply a specific order of execution. The order of execution of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application. In practical applications, all possible implementation methods described above can be combined in any manner to form possible embodiments of the present application, and will not be described in detail here.

[0090] Based on the distribution network outage time control method based on improving the resilience of the distribution network provided in the above embodiments, based on the same inventive concept, the embodiment of the present application also provides a distribution network outage time control system based on improving the resilience of the distribution network.

[0091] Figure 2 This is a block diagram of a distribution network outage time control system based on improving distribution network resilience provided by an embodiment of the present application. Figure 2 As shown, the system may specifically include a data generation module 201 , a data acquisition module 202 , a data calculation module 203 , a data processing module 204 and a data output module 205 .

[0092] The data generation module 201 is used to obtain the power-off electrical devices according to the monitoring terminal of the distribution switch in the distribution network when the distribution network is out of power, and form a power outage network with the power-off electrical devices;

[0093] The data acquisition module 202 is used to represent an electric device in the power outage network with a node, and obtain the load information, power outage information, and functional role information of each node in the power outage network;

[0094] The data calculation module 203 is used to calculate the dynamic priority coefficient corresponding to each node based on the load information, power outage information and functional role information of each node. The dynamic priority coefficient is used to reflect the power restoration priority of the node;

[0095] The data processing module 204 is used to divide the power outage network into islands to obtain an emergency repair network, where the emergency repair network is composed of electrical equipment to be restored;

[0096] The data output module 205 is used to calculate the resilience loss area of ​​the emergency repair network according to the dynamic priority coefficient, use the emergency repair plan corresponding to the minimum resilience loss area as the emergency repair strategy, and use the emergency repair strategy to restore normal power supply to the electrical equipment in the emergency repair network.

[0097] Based on the same inventive concept, an embodiment of the present application also provides an electronic device, including a processor and a memory, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute any one of the above embodiments of the distribution network power outage time control method based on improving the resilience of the distribution network.

[0098] In an exemplary embodiment, an electronic device is provided, such as Figure 3 As shown, Figure 3 The electronic device 300 shown includes a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, for example, via a bus 302. Optionally, the electronic device 300 may further include a transceiver 304. It should be noted that in actual applications, the number of transceivers 304 is not limited to one, and the structure of the electronic device 300 does not constitute a limitation on the embodiments of the present application.

[0099] Processor 301 may be a CPU (Central Processing Unit), a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like.

[0100] The bus 302 may include a path for transmitting information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0101] The memory 303 may be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0102] The memory 303 is used to store computer program codes for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the computer program codes stored in the memory 303 to implement the contents shown in the above method embodiment.

[0103] Among them, electronic devices include but are not limited to: mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The electronic device shown is merely an example and should not limit the functions and scope of use of the embodiments of the present application.

[0104] Based on the same inventive concept, an embodiment of the present application also provides a storage medium, which stores a computer program, wherein the computer program is configured to execute any one of the above-mentioned embodiments of the distribution network outage time control method based on improving the resilience of the distribution network when running.

[0105] Those skilled in the art will clearly understand that the specific working processes of the systems, devices, and modules described above can refer to the corresponding processes in the aforementioned method embodiments, and for the sake of brevity, they will not be further described here.

[0106] Those skilled in the art will appreciate that the technical solution of the present application, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes a number of program instructions for causing an electronic device (e.g., a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application when the program instructions are executed. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0107] Alternatively, all or part of the steps of implementing the aforementioned method embodiments may be accomplished by hardware related to program instructions (such as electronic devices such as personal computers, servers, or network devices), and the program instructions may be stored in a computer-readable storage medium. When the program instructions are executed by a processor of an electronic device, the electronic device executes all or part of the steps of the methods described in the various embodiments of the present application.

[0108] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that, within the spirit and principles of the present application, they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not deviate from the protection scope of the present application.

Claims

1. A method for controlling power outage time of a distribution network based on improving the resilience of the distribution network, characterized in that: include: When the distribution network is out of power, the power-off devices are monitored by the distribution switch monitoring terminal in the distribution network, and the power-off network is formed by the power-off devices; Using a node to represent an electric device in the power outage network, and obtaining load information, power outage information, and functional role information of each node in the power outage network; Calculate a dynamic priority coefficient corresponding to each node based on the load information, power outage information, and functional role information of the node, where the dynamic priority coefficient is used to reflect the priority of power restoration for the node; Dividing the power outage network into islands to obtain an emergency repair network, wherein the emergency repair network refers to a network consisting of electrical equipment to be restored; The resilience loss area of ​​the emergency repair network is calculated according to the dynamic priority coefficient, and the emergency repair plan corresponding to the minimum resilience loss area is used as the emergency repair strategy. The emergency repair strategy is used to restore normal power supply to electrical equipment in the emergency repair network.

2. The method according to claim 1, characterized in that After the emergency repair strategy is adopted to restore normal power supply to the power-consuming equipment in the emergency repair network, the power outage network is updated according to the restoration result of the power-consuming equipment and the updated power outage network is re-islanded to obtain a new emergency repair network.

3. The method according to claim 2, characterized in that For the new emergency repair network, if there are multiple emergency repair plans that meet the minimum resilience loss area, the emergency repair plan for the power-consuming equipment whose cumulative power outage time exceeds the maximum power outage threshold is preferentially selected as the new emergency repair strategy.

4. The method according to claim 1, wherein The dynamic priority coefficient corresponding to the node is calculated using the following formula: Among them, D i,t represents the actual load of node i at time t, D i,max is the maximum load capacity of node i, T outage,i is the cumulative power outage time of node i, T max is the maximum power outage threshold allowed for node i, and γ is the power outage time weight.

5. The method according to claim 4, characterized in that Calculating the resilience loss area of ​​the emergency repair network according to the dynamic priority coefficient includes: Constructing a toughness loss area function of the emergency repair network; Obtaining constraints of the toughness loss area function; Calculate the minimum value of the toughness loss area function output under the constraint conditions.

6. The method according to claim 5, characterized in that The toughness loss area function is: R loss =∑ i∈N l i,t ×ΔP i ×T repair,i , Among them, λ i,t is the dynamic priority coefficient corresponding to node u, N represents the number of nodes in the emergency repair network, ΔP i represents the load shedding amount of the line where node i is located, T repair,i Indicates the repair time of the line where node i is located.

7. The method according to claim 5, characterized in that The constraints include: A repair path, wherein the repair personnel must complete the repair of the previous node i-1 and then proceed to the next node i, and each node is only allowed to be repaired once; and Emergency repair time: each emergency repair path has a corresponding emergency repair time, and the emergency repair time is obtained by adjusting the power supply sequence of the nodes on the emergency repair path by using an improved Harris Hawk optimization algorithm.

8. The method according to claim 1, characterized in that The power outage network is divided into islands to obtain an emergency repair network, including: In the power outage network, a distributed power supply device is used as a root node; Using a breadth-first search method to find a key node adjacent to the root node, the actual load of the key node being greater than a load threshold; Using a depth-first search method to find key nodes that are not adjacent to the root node; The key nodes found are included in the range of the isolated island to obtain the emergency repair network.

9. The method according to claim 8, characterized in that When the found key nodes are included in the island range, the method further includes: Determine whether the power supply of the root node meets the power requirements of all key nodes within the island; If so, all key nodes within the island range are output as the emergency repair network; If not, mobile power devices are added until the total power supply of the root node and the mobile power devices meets the power demand of all key nodes, and all key nodes within the output island range are converted into emergency repair networks.

10. A power outage time control system for a distribution network based on improving the resilience of the distribution network, characterized in that: include: A data generation module is used to obtain the power-off electrical equipment according to the monitoring terminal of the distribution switch in the distribution network when the distribution network is out of power, and form a power outage network by the power-off electrical equipment; A data acquisition module, configured to represent an electric device in the power outage network with a node, and to acquire load information, power outage information, and functional role information of each node in the power outage network; A data calculation module is used to calculate a dynamic priority coefficient corresponding to each node based on the load information, power outage information and functional role information of each node, wherein the dynamic priority coefficient is used to reflect the power restoration priority of the node; a data processing module, configured to island the power outage network to obtain an emergency repair network, wherein the emergency repair network is a network consisting of electrical equipment to be restored; A data output module is used to calculate the resilience loss area of ​​the emergency repair network according to the dynamic priority coefficient, use the emergency repair plan corresponding to the minimum resilience loss area as the emergency repair strategy, and adopt the emergency repair strategy to restore normal power supply to the electrical equipment in the emergency repair network.

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