Power system power failure recovery partition method, device and equipment and storage medium

Abstract

The application provides a partition method, device and equipment for power system outage recovery and a storage medium. The method comprises the following steps: determining a guarantee area based on the number and capacity of black-start power sources and the starting power of to-be-recovered conventional units and the node load power; including nodes and branches based on the rated power of the to-be-recovered conventional units in the guarantee area to obtain a feasible area; and determining the partition attribution of a new energy station based on the support power provided by the new energy station and the new energy consumption capacity of each partition in the feasible area to obtain an expanded area. The method can improve the execution efficiency of the power system recovery scheme.

Description

Technical Field

[0001] This application relates to the field of power restoration, and more specifically, to zoning methods, apparatus, equipment, and storage media for power system outage restoration. Background Technology

[0002] To achieve the "dual carbon" goal, a high proportion of renewable energy grid connection has become a development trend for new power systems. The increasing penetration rate of renewable energy makes power systems more complex and their operating conditions closer to their stability limits. Against this backdrop, power systems are more sensitive to local disturbances; external sabotage and internal malfunctions can trigger vicious chain reactions and cause large-scale power outages.

[0003] Following a power outage, power companies at all levels restore the system according to emergency plans, and the system zoning scheme directly affects the expected results of the restoration plan. With the transformation and upgrading of the power system, the installed capacity of non-fossil energy in my country has exceeded that of coal-fired power. The output of new energy sources such as wind power and photovoltaic power in the new power system is indirect and fluctuating, which directly affects the success or failure of system restoration.

[0004] Therefore, improving the efficiency of power system restoration plan implementation is a technical problem that needs to be solved. Summary of the Invention

[0005] The purpose of this application is to provide a partitioning method for power system outage recovery. The technical solution of this application can improve the execution efficiency of power system recovery schemes.

[0006] In a first aspect, embodiments of this application provide a zoning method for power system outage restoration, including: determining a protection zone based on the number and capacity of black-start power sources, the starting power of conventional units to be restored, and the node load power; incorporating nodes and branches into the protection zone based on the rated power of the conventional units to be restored, thus obtaining a feasible zone; and determining the zoning affiliation of the new energy power stations based on the supporting power provided by the new energy power stations and the new energy absorption capacity of each zone in the feasible zone, thus obtaining an extension zone.

[0007] In the above embodiments, this application, while satisfying the traditional power system restoration principles, also considers the supply and demand issues of new energy sources, black-start power sources, and the requirements for conventional generating units to be restored to participate in system restoration. Combining the characteristics of different restoration periods after a major power outage, the system restoration area is divided into three stages: a protection zone, a feasible zone, and an expansion zone, to ensure that the system restoration plan is carried out safely and orderly, thereby improving the efficiency of the power system restoration plan.

[0008] In some embodiments, the protection zone is determined based on the number and capacity of black-start power sources and the starting power and node load power of the conventional units to be restored, including: calculating the initial partition of the protection zone by the number of black-start power sources; constraining the connectivity and power balance of each node in the initial partition to obtain the protection zone.

[0009] In the above embodiments, this application constrains the connectivity and power balance of each node in the initial partition by the number of black start power supplies. This can provide power to the regular units to be restored and some load nodes, while including nodes that meet the conditions into the partition, thus accurately performing the first partitioning.

[0010] In some embodiments, based on the rated power of the conventional generating units to be restored within the protection zone, nodes and branches are included to obtain a feasible zone, including: constraining the power balance of the power system based on the rated power of the conventional generating units to be restored, the power required by the load nodes, and the power of the black start power supply to obtain an initial feasible zone; rolling weighting of the adjacent nodes of the initial feasible zone according to the node modularity gain and the load gain, and selecting nodes with large weights and adjacent branches to add to the initial feasible zone to obtain a feasible zone.

[0011] In the above embodiments, the feasible area division stage of this application considers the participation of conventional units to be restored in system restoration. On the basis of the protection area, new nodes and branches are appropriately included to strengthen the internal strength of the partition and lay a reliable grid structure for the participation of new energy power sources in system restoration.

[0012] In some embodiments, based on the supporting power provided by the new energy power station and the new energy absorption capacity of each zone in the feasible area, the zone affiliation of the new energy power station is determined to obtain the extended area, including: determining the association relationship between the new energy power station and each zone in the feasible area; if the new energy power station is associated with one zone in each zone of the feasible area, the new energy power station is assigned to that zone to obtain the extended area; if the new energy power station is associated with multiple zones in each zone of the feasible area, the new energy power station is assigned to the zone with the best new energy absorption capacity among the multiple zones to obtain the extended area.

[0013] In the above embodiments, this application determines the zone affiliation of a new energy power station by establishing a relationship between the new energy power station and the zone. This allows for the final zoning process to be completed while meeting the new energy demand, resulting in an expanded zone.

[0014] In some embodiments, after determining the zone affiliation of the new energy power station based on the supporting power provided by the new energy power station and the new energy absorption capacity of each zone in the feasible area, and obtaining the expansion area, the method further includes: combining the breadth-first search algorithm and the community discovery algorithm to search the grid structure in the expansion area, and evaluating whether the nodes and branches in the grid structure meet the requirements of the guarantee area, the feasible area and the expansion area.

[0015] In the above embodiments, this application combines breadth-first search and community detection algorithms to improve the accuracy and speed of partitioned search and to accurately evaluate nodes and branches in the network structure.

[0016] In some embodiments, after determining the zone affiliation of the new energy power station based on the supporting power provided by the new energy power station and the new energy absorption capacity of each zone in the feasible area, and obtaining the expansion area, the method further includes: evaluating whether the power is balanced within the expansion area, whether there is a connection between the zones and the internal structure of the zones, and obtaining the evaluation results.

[0017] In the above embodiments, this application evaluates and optimizes the final partitioning results by assessing whether the power is balanced within the extended area, whether there is a connection between partitions, and the internal structure of the partitions from multiple perspectives. This is more conducive to the safe, stable, and rapid recovery of the power system after a major power outage.

[0018] In some embodiments, after determining the zoning of new energy power plants based on the supporting power provided by the new energy power plants and the new energy absorption capacity of each zone in the feasible area, and obtaining the extended area, the method further includes: using the improved IEEE 39-node example to test the zoning method for power system outage recovery.

[0019] In the above embodiments, this application uses an improved IEEE 39-node example to conduct a test on the partitioning method for power system outage recovery, thereby optimizing the partitioning results of power system outage recovery and improving the execution efficiency of power system outage recovery schemes.

[0020] Secondly, embodiments of this application provide a partitioning device for power system outage restoration, comprising:

[0021] The first partitioning module is used to determine the protection zone based on the number and capacity of black start power supplies, as well as the starting power and node load power of the regular units to be restored.

[0022] The second partitioning module is used to include nodes and branches based on the rated power of the conventional units to be restored in the protection zone to obtain the feasible zone.

[0023] The third partitioning module is used to determine the partition affiliation of new energy power stations based on the supporting power provided by the new energy power stations and the new energy absorption capacity of each partition in the feasible area, thus obtaining the expansion area.

[0024] Optionally, the first partitioning module is specifically used for:

[0025] The initial partition of the protection zone is calculated by the number of black-start power sources; the connectivity and power balance of each node in the initial partition are constrained to obtain the protection zone.

[0026] Optionally, the second partitioning module is specifically used for:

[0027] Based on the rated power of the conventional units to be restored, the power required by the load nodes, and the power of the black start power supply, the power balance of the power system is constrained to obtain the initial feasible region. The adjacent nodes of the initial feasible region are rolled with weights according to the node modularity gain and the load gain. The nodes with larger weights and the adjacent branches are selected to be added to the initial feasible region to obtain the feasible region.

[0028] Optionally, the third partitioning module is specifically used for:

[0029] Determine the relationship between the new energy power station and each zone in the feasible area; if the new energy power station is related to one zone in the feasible area, assign the new energy power station to that zone to obtain the expansion zone; if the new energy power station is related to multiple zones in the feasible area, assign the new energy power station to the zone with the best new energy absorption capacity among the multiple zones to obtain the expansion zone.

[0030] Optionally, the device further includes:

[0031] The evaluation module is used by the third partitioning module to determine the partition affiliation of the new energy power station based on the supporting power provided by the new energy power station and the new energy absorption capacity of each partition in the feasible area. After obtaining the expansion area, the module combines the breadth-first search algorithm and the community discovery algorithm to search the grid structure in the expansion area and evaluate whether the nodes and branches in the grid structure meet the requirements of the guarantee area, the feasible area and the expansion area.

[0032] Optionally, the device further includes:

[0033] The second evaluation module is used by the third division module to determine the zoning of new energy power stations based on the supporting power provided by the new energy power stations and the new energy absorption capacity of each zone in the feasible area. After obtaining the expansion area, the module evaluates whether the power in the expansion area is balanced, whether there is a connection between the zones and the internal structure of the zones, and obtains the evaluation results.

[0034] Optionally, the device further includes:

[0035] The testing module is used by the third partitioning module to determine the partitioning of new energy power plants based on the supporting power provided by the new energy power plants and the new energy absorption capacity of each partition in the feasible area. After obtaining the extended area, the improved IEEE 39-node example is used to test the partitioning method for power system outage recovery.

[0036] Thirdly, embodiments of this application provide an electronic device, including a processor and a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the steps of the method provided in the first aspect above are performed.

[0037] Fourthly, embodiments of this application provide a readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the steps of the method provided in the first aspect above.

[0038] Other features and advantages of this application will be set forth in the following description and will be apparent in part from the description or may be learned by practicing embodiments of this application. The objectives and other advantages of this application may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings. Attached Figure Description

[0039] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 A flowchart of a zoning method for power system outage recovery provided in this application embodiment;

[0041] Figure 2 A schematic diagram of a dynamic partitioning system for power system outage recovery provided in this application embodiment;

[0042] Figure 3 A schematic diagram comparing the performance of a BFS algorithm and an improved BFS algorithm provided in this application embodiment;

[0043] Figure 4 A flowchart illustrating a system partitioning solution process provided in this application embodiment;

[0044] Figure 5 This is a schematic diagram of a protection zone division result provided in an embodiment of this application;

[0045] Figure 6 This is a schematic diagram of a feasible region division result provided in an embodiment of this application;

[0046] Figure 7 This is a schematic diagram of a partitioning result after partition correction, provided in an embodiment of this application.

[0047] Figure 8 This is a schematic diagram of an extended region division result provided in an embodiment of this application;

[0048] Figure 9 A schematic block diagram of a power system outage restoration device provided in this application embodiment;

[0049] Figure 10 This is a schematic block diagram of a power system outage recovery zoning device provided in an embodiment of this application. Detailed Implementation

[0050] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0051] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0052] This application applies to power restoration scenarios, specifically a system restoration zoning optimization model and solution algorithm that considers large-scale wind power. The model takes into account the impact of wind power on system zoning restoration and aims to optimize the utilization of power plant output during the zoning restoration process. Constraints such as zoning power balance, power grid connectivity, and the uniqueness of wind farm affiliation allow for a more scientific and reasonable system restoration zoning scheme.

[0053] To achieve the "dual carbon" goal, a high proportion of renewable energy grid connection has become a development trend for new power systems. The increasing penetration rate of renewable energy makes power systems more complex and their operating conditions closer to their stability limits. Against this backdrop, power systems are more sensitive to local disturbances; external damage and internal misoperations can trigger vicious chain reactions and cause large-scale power outages. After a power outage, power companies at all levels restore the system according to emergency plans, and the system zoning plan directly affects the expected effectiveness of the restoration plan. With the transformation and upgrading of the power system, the installed capacity of non-fossil energy in my country has exceeded that of coal-fired power. The output of renewable energy sources such as wind power and photovoltaics in the new power system is indirect and fluctuating, directly affecting the success or failure of system restoration.

[0054] Therefore, this application determines the protection zone based on the number and capacity of black-start power sources, the starting power of conventional units to be restored, and the node load power. Based on the rated power of the conventional units to be restored within the protection zone, nodes and branches are included to obtain the feasible zone. Based on the supporting power provided by renewable energy power plants and the renewable energy absorption capacity of each zone within the feasible zone, the zone affiliation of renewable energy power plants is determined to obtain the extended zone. While meeting the traditional principles of power system restoration, this application also considers the supply and demand of renewable energy, the requirements of black-start power sources and conventional units to be restored to participate in system restoration, and, combined with the characteristics of different restoration periods after a major power outage, divides the system restoration zone into three stages: protection zone, feasible zone, and extended zone. This ensures the safe and orderly implementation of the system restoration plan and improves the efficiency of power system restoration plan execution.

[0055] In this embodiment of the application, the executing entity can be the power system outage recovery partitioning device in the power system outage recovery partitioning system. In practical applications, the power system outage recovery partitioning device can be electronic devices such as terminal devices and servers, and there are no restrictions here.

[0056] The following is combined Figure 1 The partitioning method for power system outage recovery according to embodiments of this application will be described in detail.

[0057] Please refer to Figure 1 , Figure 1 A flowchart of a power system outage recovery partitioning method provided in this application embodiment is shown below. Figure 1 The zoning method for power system outage recovery shown includes:

[0058] Step 110: Determine the protection zone based on the number and capacity of black start power supplies, as well as the starting power of the regular units to be restored and the node load power.

[0059] In some embodiments of this application, the protection zone is determined based on the number and capacity of black-start power sources and the starting power and node load power of the conventional units to be restored, including: calculating the initial partition of the protection zone based on the number of black-start power sources; constraining the connectivity and power balance of each node in the initial partition to obtain the protection zone.

[0060] In the above embodiments, this application constrains the connectivity and power balance of each node in the initial partition by the number of black start power supplies. This can provide power to the regular units to be restored and some load nodes, while including nodes that meet the conditions into the partition, thus accurately performing the first partitioning.

[0061] The power network in the power system is a complex network, which can be simplified to an undirected weighted graph G = (N, E). The weights of nodes and branches are updated through a rolling search of partitions, where N is the set of all nodes n in the network (n ∈ N), and E is the set of all branches e in the network (e ∈ E). The connectivity graph of this circuit network can be represented by an n×n adjacency matrix A. On the other hand, from the perspective of system electrical systems, factors such as the system partitioning capacity for renewable energy and the ultra-short-term predicted output of renewable energy power plants will affect the recovery effect of the partitions. Therefore, it is necessary to evaluate the system partitions and renewable energy power plants to ensure that renewable energy power plants are integrated into the partitions at the appropriate time. To this end, the initial partition of the protection zone is calculated based on the number of black-start power sources; the connectivity and power balance of each node within the initial partition are constrained, and the protection zone is obtained through the following formula:

[0062]

[0063]

[0064]

[0065] P NGbk -∑P k ≥0;

[0066] Where K is the number of partitions; n is the number of network nodes; N bi This indicates that node i has a black-start power source, with a value of 0 or 1 (0 indicates non-existence, 1 indicates existence); λ i Indicates whether the black boot power supply of this node is assigned to the initial partition, with a value of 0 or 1, P NGbk The rated power of the black-start power supply in partition k; ∑P k This represents the power required to restore the conventional generating units and load nodes in partition k. k A is the number of nodes in partition k; ij This indicates whether there is a connected path between any two nodes within the partition (0 indicates no path, 1 indicates a path).

[0067] Step 120: Based on the rated power of the conventional units to be restored within the protection zone, include them in the nodes and branches to obtain the feasible zone.

[0068] In some embodiments of this application, based on the rated power of the conventional units to be restored within the protection zone, nodes and branches are included to obtain a feasible zone, including: constraining the power balance of the power system based on the rated power of the conventional units to be restored, the power required by the load nodes, and the power of the black start power supply to obtain an initial feasible zone; rolling weighting of the adjacent nodes of the initial feasible zone according to the node modularity gain and the load gain, and selecting nodes with large weights and adjacent branches to add to the initial feasible zone to obtain a feasible zone.

[0069] In the aforementioned process, the feasible zone division stage of this application considers the participation of conventional generating units to be restored in system restoration, and appropriately incorporates new nodes and branches on the basis of the protection zone to strengthen the internal strength of the zone, thus laying a reliable grid structure for the participation of new energy power sources in system restoration.

[0070] The feasible area, based on the rated power of the conventional generating units to be restored within the protection zone, and including nodes and branches, is obtained through the following formula:

[0071]

[0072] P NGbk +ΣP NGk -∑P k >0;

[0073] Where, ∑P NGk To restore the rated power of the conventional generating units, and based on the node modularity gain and load gain, adjacent nodes in the initial feasible region are weighted using a rolling method. Nodes with larger weights and adjacent branches are then added to the initial feasible region. The feasible region is obtained using the following formula:

[0074] ξ ki =α1M ki +α2D ki ;

[0075]

[0076] D ki =Σβ j P j ;

[0077] Where, ξ ki Let be the weight of node i with respect to partition k; α1 and α2 are the weights of node modularity gain and load gain, respectively; M ki This represents the node modularity gain, where m is the weight of all edges in the network, and N is the number of edges. i,in For node N i The sum of the weights of the edges connecting to the community to be moved, ∑N i D represents the probability that other nodes connect to this community. ki P represents the node load gain. j For the load power of each level at this load node, β j The weights are assigned to the power of each load level.

[0078] Step 130: Based on the supporting power provided by the new energy power station and the new energy absorption capacity of each zone in the feasible area, determine the zone affiliation of the new energy power station to obtain the expansion zone.

[0079] In some embodiments of this application, the partition affiliation of the new energy power station is determined based on the supporting power provided by the new energy power station and the new energy absorption capacity of each partition in the feasible area, thereby obtaining an expansion area. This includes: determining the association relationship between the new energy power station and each partition in the feasible area; if the new energy power station is associated with one partition in the feasible area, the new energy power station is assigned to that partition to obtain an expansion area; if the new energy power station is associated with multiple partitions in the feasible area, the new energy power station is assigned to the partition with the optimal new energy absorption capacity among the multiple partitions to obtain an expansion area.

[0080] In the above process, this application determines the zoning affiliation of new energy power stations by establishing a relationship between the new energy power stations and the zoning zones. This allows for the completion of the final zoning process while simultaneously meeting the needs of new energy sources, resulting in the expansion zone.

[0081] The relationship between new energy power stations and each zone within the feasible area is determined using the following formula:

[0082]

[0083] Where, N Wik This represents the relationship between wind farm i and zone k, with a value of 0 or 1 (0 indicates no relationship, 1 indicates a relationship). The expansion zone is obtained by assigning the renewable energy power plant to a single zone, or by assigning the renewable energy power plant to the zone with the optimal renewable energy absorption capacity among multiple zones. This expansion zone is obtained using the following formula:

[0084] ζ ki =η1P Wi +η2T k (H i ≥2);

[0085] Among them, P Wi Indicates the predicted output of the wind farm; T k Represents the renewable energy absorption capacity of partition k; η1 and η2 represent P respectively. Wi and T k The weights. In addition, T should also be satisfied. k >P Wi .

[0086] The following is combined Figure 2 This application provides a detailed description of a novel power system with dynamic zoning for power outage recovery, based primarily on new energy sources, as described in this embodiment.

[0087] Please refer to Figure 2 , Figure 2 A schematic diagram of a dynamic zoning system for power system outage recovery provided in this application embodiment is shown below. Figure 2 The new power system shown, which is based on new energy sources, includes:

[0088] The recovery of dynamic partitioning involves three stages: the guaranteed zone partitioning stage, the feasible zone partitioning stage, and the expansion zone partitioning stage. The feasible zone partitioning stage can further refine the expansion zone through partition correction. Specifically, this involves first masking the peripheral nodes of the partition, searching for adjacent nodes, including nodes with positive modularity gain in the partition, and removing masked nodes. During partition correction, the constraints of both the guaranteed zone partitioning and feasible zone partitioning stages must still be met.

[0089] also, Figure 2 The specific methods and steps shown can be found in [reference]. Figure 1 The method shown will not be elaborated further here.

[0090] In some embodiments of this application, after determining the zone affiliation of the new energy power station based on the supporting power provided by the new energy power station and the new energy absorption capacity of each zone in the feasible area, and obtaining the expansion area, the method further includes: combining the breadth-first search algorithm and the community detection algorithm to search the grid structure in the expansion area, and evaluating whether the nodes and branches in the grid structure meet the requirements of the protection area, the feasible area and the expansion area.

[0091] In the above process, this application combines the breadth-first search (BFS) algorithm and the community detection algorithm to improve the accuracy and speed of partition search and to accurately evaluate nodes and branches in the network structure.

[0092] For details, please refer to Figure 3 , Figure 3 This application provides a schematic diagram comparing the performance of a BFS algorithm and an improved BFS algorithm in its embodiments. Figure 3 The comparison between the BFS algorithm and the improved BFS algorithm shown includes:

[0093] The basic idea of ​​the BFS algorithm is to start from the initial node and include all adjacent nodes simultaneously. The improved algorithm includes adjacent nodes sequentially, avoiding blind searches that could lead to partitioning failures. Taking V0 as the initial partition, V1, V2, and V4 are adjacent nodes. The basic BFS algorithm would include V1, V2, and V4 in the partition, and V3, V5, and V6 as adjacent nodes; the improved BFS algorithm will not include all adjacent nodes. If V2 is the node with the optimal weight, then only V2 will be included in the partition, and V1, V4, and V5 will be adjacent nodes.

[0094] Specifically: Assessing whether the nodes and branches in the grid structure meet the requirements of the protection zone, feasible zone, and expansion zone can be based on... Figure 4 The method shown will be described in detail.

[0095] Please refer to Figure 4 , Figure 4A flowchart of a system partitioning solution method provided in this application embodiment is shown below. Figure 4 The method for solving the system partitioning problem shown includes:

[0096] Step 410: Set the initial partition according to the black boot power supply.

[0097] Specifically: Based on the number and capacity of black start power supplies, as well as the starting power of the regular units to be restored and the node load power, the protection zone is determined.

[0098] Step 420: Evaluate the adjacent nodes of the partition and select the best ones to include in the partition.

[0099] Specifically: Based on the rated power of the conventional generating units to be restored within the protection zone, new nodes and branches are further incorporated to obtain the feasible zone. Based on the supporting power that the renewable energy power stations can provide and the renewable energy absorption capacity of each zone within the feasible zone, the zone affiliation of the renewable energy power stations is determined to obtain the expansion zone.

[0100] Step 430: Determine whether the current partition stage goal has been achieved.

[0101] Specifically: if the current partition stage goal is achieved, proceed to step 440; otherwise, return to step 420.

[0102] Step 440: Is system partitioning complete?

[0103] Specifically: the system partitioning process ends upon completion; otherwise, proceed to step 450.

[0104] Step 450: Update the evaluation criteria for the target update node in the partitioning phase.

[0105] Specifically: Update the evaluation criteria for the target node in the partitioning phase and return to step 420.

[0106] also, Figure 4 The specific methods and steps shown can be found in [reference]. Figure 1 The method shown will not be elaborated further here.

[0107] In some embodiments of this application, after determining the zone affiliation of the new energy power station based on the supporting power provided by the new energy power station and the new energy absorption capacity of each zone in the feasible area, and obtaining the expansion area, the method further includes: evaluating whether the power is balanced within the expansion area, whether there is a connection between the zones and the internal structure of the zones, and obtaining the evaluation results.

[0108] In the above process, this application evaluates the power balance within the extended area, the connections between zones, and the internal structure of the zones from multiple perspectives, thereby assessing and optimizing the final zoning results, which is more conducive to the safe, stable, and rapid recovery of the power system after a major power outage.

[0109] Specifically: When the system has 3 black boot power supplies, set them as the initial partitions, perform partition search using the method proposed in this paper, and the final partition results are shown in Table 1.

[0110] Table 1

[0111]

[0112] The evaluation results, as shown in Table 1, reveal the following three points regarding whether the power is balanced within the extended area, whether there are connections between zones, and the internal structure of each zone.

[0113] 1) From the perspective of zonal balance, each zone includes 14, 13, and 12 system nodes respectively, and each includes a recoverable conventional generator power node and a recovery path, meeting the basic principle of zonal system recovery. Zones 1 and 3 each include two wind farms, while Zone 2 does not include any wind farms. This is because the output of new energy sources and the active power imbalance and new energy capacity of each zone are considered. This reduces the impact of wind farms on system recovery and improves the success rate of system recovery.

[0114] 2) In terms of the connections between partitions, there are 2 connection lines between partition 1 and partition 2; 1 connection line between partition 1 and partition 3; and 1 connection line between partition 2 and partition 3. Fewer connection lines between partitions are beneficial for partition merging in the later stages of system recovery, thus improving the efficiency of system recovery.

[0115] 3) From the perspective of the internal structure of each zone, each zone has a compact ring network structure, which has a stronger load-bearing capacity and higher safety compared to radial grid structures. In addition, the ring network structure of the system can effectively eliminate power flow over-limit problems, providing support for the safe and stable recovery of the system.

[0116] Therefore, the partitioning results obtained by the method in this paper are more conducive to the safe, stable and rapid recovery of the new power system with new energy sources as the main body after a major power outage.

[0117] In some embodiments of this application, after determining the zoning affiliation of the new energy power station based on the supporting power provided by the new energy power station and the new energy absorption capacity of each zone in the feasible area, and obtaining the extended area, the method further includes: using the improved IEEE 39-node example to test the zoning method for power system outage recovery.

[0118] In the above process, this application uses the improved IEEE 39-node example to conduct an instance test on the partitioning method for power system outage recovery, thereby optimizing the partitioning results of power system outage recovery and improving the execution efficiency of power system outage recovery schemes.

[0119] Specifically, the proposed dynamic zoning optimization method for power system restoration is tested using an improved IEEE 39-node wind-inclusive system example. System nodes 30, 32, and 35 are black-start power sources; nodes 31, 36, and 37 are conventional units; and nodes 33, 34, 38, and 39 are centralized wind farms. The power source nodes are shown in Table 2.

[0120] Table 2

[0121] Power supply number Power supply node Power type 1 30 Pumped storage 2 31 thermal power 3 32 Hydropower 4 33 wind power 5 34 wind power 6 35 Hydropower 7 36 thermal power 8 37 thermal power 9 38 wind power 10 39 wind power

[0122] Please refer to Figure 5 , Figure 5 This is a schematic diagram of a protection zone division result provided in an embodiment of this application, as shown below. Figure 5 The results of the protection zone division are shown below:

[0123] First, black boot power nodes 30, 32, and 35 are used as the initial partitions, and node search is performed according to the partitioning criteria of the first stage.

[0124] Please refer to Figure 6 , Figure 6 This is a schematic diagram of a feasible region division result provided in an embodiment of this application, such as... Figure 6 The feasible region division results are shown below:

[0125] Taking into account the capacity of the black-start units and the conventional units to be restored, and under the condition of meeting system constraints, more nodes and lines are included to strengthen the interconnection of the grid within the zone.

[0126] Please refer to Figure 7 , Figure 7 This is a schematic diagram of a partitioning result after partition correction provided in an embodiment of this application, as shown below. Figure 7 The partitioning result after correction is shown below:

[0127] To better accommodate new energy sources and reduce the impact of new energy grid connection on the voltage of the regional system, it is necessary to modify the regional grid structure.

[0128] Please refer to Figure 8 , Figure 8 This is a schematic diagram of an extended region division result provided in an embodiment of this application, as shown below. Figure 8 The results of the extended region division are shown below:

[0129] The expansion phase considers both the source and the grid, evaluating the grid structure and new energy power nodes within the zone, and incorporating new energy power plants into suitable zones.

[0130] In the above Figure 1In the process described, this application determines the protection zone based on the number and capacity of black-start power sources, the starting power of the conventional units to be restored, and the node load power. Based on the rated power of the conventional units to be restored within the protection zone, nodes and branches are included to obtain the feasible zone. Based on the supporting power provided by renewable energy power plants and the renewable energy absorption capacity of each zone within the feasible zone, the zone affiliation of renewable energy power plants is determined to obtain the extended zone. While meeting the traditional principles of power system restoration, this application also considers the supply and demand of renewable energy, the requirements of black-start power sources and the participation of conventional units to be restored in system restoration, and, combined with the characteristics of different restoration periods after a major power outage, divides the system restoration zone into three stages: protection zone, feasible zone, and extended zone. This ensures the safe and orderly implementation of the system restoration plan and improves the efficiency of power system restoration plan execution.

[0131] The previous text passed Figure 1 The zoning method for power system outage recovery is described below, in conjunction with... Figures 9-10 Describes the zoning device for power system outage recovery.

[0132] Please refer to Figure 9 This is a schematic block diagram of a power system outage restoration partitioning device 900 provided in an embodiment of this application. The device 900 can be a module, program segment, or code on an electronic device. This device 900 is related to the above... Figure 1 The method implementation corresponds to this and can be executed. Figure 1 The various steps involved in the method embodiment, and the specific functions of the device 900, can be found in the following description. To avoid repetition, detailed descriptions are omitted here.

[0133] Optionally, the device 900 includes:

[0134] The first partitioning module 910 is used to determine the protection zone based on the number and capacity of black start power supplies, as well as the starting power and node load power of the conventional units to be restored.

[0135] The second partitioning module 920 is used to include nodes and branches based on the rated power of the conventional units to be restored in the protection zone to obtain the feasible zone;

[0136] The third partitioning module 930 is used to determine the partition affiliation of new energy power stations based on the supporting power provided by the new energy power stations and the new energy absorption capacity of each partition in the feasible area, thereby obtaining the expansion area.

[0137] Optionally, the first partitioning module is specifically used for:

[0138] The initial partition of the protection zone is calculated by the number of black-start power sources; the connectivity and power balance of each node in the initial partition are constrained to obtain the protection zone.

[0139] Optionally, the second partitioning module is specifically used for:

[0140] Based on the rated power of the conventional units to be restored, the power required by the load nodes, and the power of the black start power supply, the power balance of the power system is constrained to obtain the initial feasible region. The adjacent nodes of the initial feasible region are rolled with weights according to the node modularity gain and the load gain. The nodes with larger weights and the adjacent branches are selected to be added to the initial feasible region to obtain the feasible region.

[0141] Optionally, the third partitioning module is specifically used for:

[0142] Determine the relationship between the new energy power station and each zone in the feasible area; if the new energy power station is related to one zone in the feasible area, assign the new energy power station to that zone to obtain the expansion zone; if the new energy power station is related to multiple zones in the feasible area, assign the new energy power station to the zone with the best new energy absorption capacity among the multiple zones to obtain the expansion zone.

[0143] Optionally, the device further includes:

[0144] The evaluation module is used by the third partitioning module to determine the partition affiliation of the new energy power station based on the supporting power provided by the new energy power station and the new energy absorption capacity of each partition in the feasible area. After obtaining the expansion area, the module combines the breadth-first search algorithm and the community discovery algorithm to search the grid structure in the expansion area and evaluate whether the nodes and branches in the grid structure meet the requirements of the guarantee area, the feasible area and the expansion area.

[0145] Optionally, the device further includes:

[0146] The second evaluation module is used by the third division module to determine the zoning of new energy power stations based on the supporting power provided by the new energy power stations and the new energy absorption capacity of each zone in the feasible area. After obtaining the expansion area, the module evaluates whether the power in the expansion area is balanced, whether there is a connection between the zones and the internal structure of the zones, and obtains the evaluation results.

[0147] Optionally, the device further includes:

[0148] The testing module is used by the third partitioning module to determine the partitioning of new energy power plants based on the supporting power provided by the new energy power plants and the new energy absorption capacity of each partition in the feasible area. After obtaining the extended area, the improved IEEE 39-node example is used to test the partitioning method for power system outage recovery.

[0149] Please refer to Figure 10This is a schematic block diagram of a power system outage restoration partitioning device provided in an embodiment of this application. The device may include a memory 1010 and a processor 1020. Optionally, the device may further include a communication interface 1030 and a communication bus 1040. This device is similar to the one described above. Figure 1 The method implementation corresponds to this and can be executed. Figure 1 The specific functions of the device involved in the method embodiments can be found in the following description.

[0150] Specifically, memory 1010 is used to store computer-readable instructions.

[0151] Processor 1020 is used to process readable instructions stored in memory and is capable of executing... Figure 1 Each step in the method.

[0152] The communication interface 1030 is used for signaling or data communication with other node devices. For example, it is used for communication with a server or terminal, or for communication with other device nodes, but the embodiments of this application are not limited thereto.

[0153] The communication bus 1040 is used to enable direct communication between the above components.

[0154] In this embodiment, the communication interface 1030 of the device is used for signaling or data communication with other node devices. The memory 1010 can be high-speed RAM or non-volatile memory, such as at least one disk storage device. Optionally, the memory 1010 can also be at least one storage device located remotely from the aforementioned processor. The memory 1010 stores computer-readable instructions, which, when executed by the processor 1020, enable the electronic device to perform the aforementioned... Figure 1 The method process is shown. The processor 1020 can be used on the device 900 and is used to perform the functions in this application. Exemplarily, the processor 1020 described above can be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components, and the embodiments of this application are not limited thereto.

[0155] This application embodiment also provides a readable storage medium, wherein when the computer program is executed by a processor, it performs the following... Figure 1The method process executed by the electronic device in the illustrated method embodiment.

[0156] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working process of the device described above can be referred to the corresponding process in the aforementioned method, and will not be elaborated further here.

[0157] In summary, this application provides a zoning method, apparatus, electronic device, and readable storage medium for power system outage restoration. The method includes: determining a protection zone based on the number and capacity of black-start power sources, the starting power of the conventional generating units to be restored, and the node load power; incorporating nodes and branches into the protection zone based on the rated power of the conventional generating units to be restored, thus obtaining a feasible zone; and determining the zoning affiliation of the renewable energy power plants based on the supporting power provided by renewable energy power plants and the renewable energy absorption capacity of each zone within the feasible zone, thus obtaining an extended zone. This method can improve the execution efficiency of power system outage restoration schemes.

[0158] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can also be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram and / or flowchart, and combinations of blocks in block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0159] In addition, the functional modules in the various embodiments of this application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0160] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0161] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application. It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0162] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0163] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

Claims

1. A method for partitioning a power system restoration, characterized in that, The method comprises the following steps: Based on the number and capacity of the black start power supply and the starting power of the conventional unit to be restored and the node load power, a guarantee area is determined, including: calculating the initial partition of the guarantee area by the number of the black start power supply; the connectivity and power balance of each node in the initial partition are constrained to obtain the guarantee area; Based on the rated power of the conventional unit to be restored in the guarantee area, the nodes and branches are included to obtain a feasible area, including: based on the rated power of the conventional unit to be restored, the required power of the load node and the power of the black start power supply, the power balance of the power system is constrained to obtain an initial feasible area; the adjacent nodes of the initial feasible area are rolled and weighted according to the node module degree gain and the load gain, the nodes with large weight value and the adjacent branches are selected to join the initial feasible area to obtain the feasible area; Based on the support power provided by the new energy station and the new energy consumption capacity of each partition in the feasible area, the partition attribution of the new energy station is determined to obtain an expanded area, including: determining the association relationship between the new energy station and each partition in the feasible area; if the new energy station and one partition of each partition in the feasible area exist an association relationship, the new energy station is divided into the one partition to obtain the expanded area; if the new energy station and multiple partitions of each partition in the feasible area exist an association relationship, the new energy station is divided into the partition with the optimal new energy consumption capacity in the multiple partitions to obtain the expanded area.

2. The method of claim 1, wherein, After the partition attribution of the new energy station is determined based on the support power provided by the new energy station and the new energy consumption capacity of each partition in the feasible area to obtain the expanded area, the method further comprises: Combined with the breadth-first search algorithm and the community discovery algorithm, the network structure in the expanded area is searched, and whether the nodes and branches in the network structure meet the requirements of the guarantee area, the feasible area and the expanded area is evaluated.

3. The method of claim 1, wherein, After the partition attribution of the new energy station is determined based on the support power provided by the new energy station and the new energy consumption capacity of each partition in the feasible area to obtain the expanded area, the method further comprises: The power balance in the expanded area, the connection between the partitions and the internal structure of the partition are evaluated to obtain an evaluation result.

4. The method of claim 1, wherein, After the partition attribution of the new energy station is determined based on the support power provided by the new energy station and the new energy consumption capacity of each partition in the feasible area to obtain the expanded area, the method further comprises: An improved IEEE39 node example is used to test the partition method of the power system outage restoration.

5. An apparatus for power system restoration partitioning, the apparatus comprising: The method comprises the following steps: A first division module is configured to determine a guarantee area based on the number and capacity of the black start power supply and the starting power of the conventional unit to be restored and the node load power, including: calculating the initial partition of the guarantee area by the number of the black start power supply; the connectivity and power balance of each node in the initial partition are constrained to obtain the guarantee area; The second division module is configured to obtain a feasible region based on the rated power of the to-be-restored conventional generating units in the security region, and based on nodes and branches, and includes: performing power balance constraint on the power system based on the rated power of the to-be-restored conventional generating units, the required power of the load nodes and the black-start power source power, to obtain an initial feasible region; performing rolling empowerment on adjacent nodes of the initial feasible region according to node module gain and load gain, and adding nodes with large weight values and adjacent branches to the initial feasible region to obtain the feasible region. The third division module is configured to determine the partition attribution of the new energy station based on the support power provided by the new energy station and the new energy consumption capacity of each partition in the feasible region, to obtain an expanded region, and includes: determining the association relationship between the new energy station and each partition in the feasible region; if the new energy station and one partition of each partition in the feasible region have an association relationship, the new energy station is divided into the one partition to obtain the expanded region; if the new energy station and multiple partitions of each partition in the feasible region have an association relationship, the new energy station is divided into the partition with the optimal new energy consumption capacity among the multiple partitions to obtain the expanded region.

6. An electronic device, comprising: The method comprises the following steps: The memory stores computer readable instructions, and when the computer readable instructions are executed by the processor, the steps in the method of any one of claims 1-4 are executed.

7. A computer readable storage medium characterized in that, The computer program, when executed on a computer, causes the computer to execute the method of any one of claims 1-4. ​

Images