Power grid partitioning and power distribution method and system based on flexibility technology

Abstract

The invention discloses a power grid partitioning and power distribution method and system based on a flexible technology, and the power grid partitioning method comprises the steps: firstly extracting the power flow characteristics of each partition in a power grid, carrying out the grouping and aggregation, generating a grouping power flow collection amount containing a plurality of partition groups, then calculating the partition cooperation level merging value of each partition group, and carrying out the hierarchical clustering, obtaining a partition collaborative layered structure; according to the power distribution method, a power distribution scheme is determined according to a power grid partitioning result, and the power distribution scheme is that a conflict path is replaced by a high-frequency replacement path. According to the method, a hierarchical structure is established on the basis of grouping aggregation, a finer partitioning strategy is realized, the efficient cooperation and flexible deployment capability among different regions of a power grid is improved, the structural position of a conflict path is adjusted by using a high-frequency alternative path, dynamic optimization of a partitioning power flow path is realized, and the power flow path optimization efficiency is improved. And the coherence and accuracy of power grid coordination in the structure evolution process are improved.

Description

Technical Field

[0001] This invention belongs to the field of power system control, specifically relating to a power grid partitioning, power dispatching method and system based on flexible technology. Background Technology

[0002] With the large-scale grid connection of new energy sources and the increasing complexity of power grid structures, the application of flexible technologies in grid regional interconnection and power dispatch has become an important means to improve the stability and flexibility of the power grid. Existing methods include urban power grid regional interconnection operation and dispatch methods based on flexible DC transmission technology. These methods achieve interconnection of urban power grid power supply zones through flexible DC transmission systems and utilize their high-speed response performance and power regulation capabilities to quickly handle problems during and after faults. However, this method is mainly aimed at the regional interconnection scenario of a single urban power grid and lacks adaptability to large-scale cross-regional power grids. In addition, the optimization strategy for grid regional interconnection points is relatively simple and does not involve dynamic coordination mechanisms between zones, which may lead to limited regulation capabilities under complex power flow distributions. A flexible ring network controller and control method for the disengagement operation of electromagnetic ring networks are also proposed. The method uses back-to-back flexible DC transmission technology to realize functions such as disengagement of electromagnetic ring networks, power flow control, reactive power regulation, and short-circuit current suppression, thereby improving the flexibility and reliability of grid operation without increasing the short-circuit current level. However, this method mainly focuses on the disengagement operation of local electromagnetic ring networks and lacks overall consideration for the interconnection of grid zones on a larger scale. Especially when facing the large fluctuations of new energy sources, its power flow control capability and stability may be limited.

[0003] The aforementioned problems indicate that existing power grid flexibility technologies are insufficient to fully meet the comprehensive requirements of power grids for safety, stability, and economy. Therefore, a new method for power grid zoning and power dispatching is urgently needed to adapt to the operating environment of modern power grids. Summary of the Invention

[0004] The purpose of this invention is to address the aforementioned problems in the existing technology by providing a power grid partitioning and power dispatching method and system based on flexible technology.

[0005] To achieve the above objectives, the technical solution of the present invention is as follows:

[0006] In a first aspect, the present invention proposes a power grid partitioning method based on flexible technology, comprising:

[0007] S1. Extract the power flow characteristics of each zone in the power grid, group and aggregate them to generate grouped power flow aggregation volume containing multiple zone groups;

[0008] S2. Calculate the partition collaboration level merge value for each partition group, and perform hierarchical clustering on each partition group based on the partition collaboration level merge value to obtain the partition collaboration hierarchical structure.

[0009] S1 includes:

[0010] S11. Based on the load characteristics, power supply layout and real-time operation data of each region in the power grid, extract the power flow characteristics and context information of the key nodes in the region, and analyze the combination structure of power flow direction and amplitude of the key nodes in each region under different power flow characteristics through vectorized coding to obtain the local power flow vector of the region.

[0011] S12. Based on the local power flow vector of each partition, the power flow matching degree between each partition is calculated using the following formula:

[0012] ;

[0013] In the above formula, For partitioning and partitions Trend matching score For partitioning In the The weight of the trend of wei For partitioning In the The weight of the trend of wei This represents the total number of trend characteristic dimensions.

[0014] S13. Compare the trend matching value with the preset trend attribution benchmark value. Perform a comparison, if Then partition and partitions They are merged into the same partition group; if Then partition and partitions Without merging, the final output will be the grouped power flow aggregation volume.

[0015] S2 includes:

[0016] S21. Calculate the angle between any two partitions in each partition group using the following formula:

[0017] ;

[0018] In the above formula, For partitioning and partitions The angle between them, For partitioning The power flow center vector, For partitioning The power flow center vector;

[0019] S22. Based on the angle between two partitions in each partition group, the partition collaboration level merge value of each partition group is calculated using the following formula:

[0020] ;

[0021] In the above formula, For partition groups The partition collaboration level merge value, For partition groups The total number of partitions in the data. For partitioning and partitions The similarity of the power flow center vectors;

[0022] S23. Based on the partition collaboration level merging value of each partition group, if the partition collaboration level merging value of multiple partition groups is higher than the set partition collaboration level division standard value, then check whether the similarity of the power flow center vector between these partition groups is also higher than the set similarity standard value. If so, they are classified into the same level; otherwise, they are classified into different parallel levels, and finally a partition collaboration hierarchical structure containing multiple parallel levels is obtained.

[0023] Secondly, this invention proposes a power grid dispatching method based on flexible technology, comprising:

[0024] A. The aforementioned partitioning method is used to partition the power grid, resulting in a partitioned collaborative hierarchical structure;

[0025] B. Based on the partitioned collaborative hierarchical structure, screen out each partition pair with consistency deviation in the same level, and determine the conflict path and collaborative consistency conflict rate in each partition pair.

[0026] C. Based on the coordination consistency conflict rate of each partition, determine the power dispatching scheme, which is to replace conflicting paths with high-frequency alternative paths.

[0027] Step B includes:

[0028] B1. For different partition groups at the same level in the partitioned collaborative hierarchical structure, calculate the partition consistency deviation value between any two partition groups, and add partition pairs with partition consistency deviation values ​​greater than the threshold to the consistency anomaly set.

[0029] The partition consistency deviation value between partition groups is calculated using the following formula:

[0030] ;

[0031] In the above formula, For partition groups and partition groups The partition consistency deviation value, For the trend path The weight, For partition groups Mid-current path Trend value, For partition groups Mid-current path Trend value, The total number of trend paths;

[0032] B2. For each partition pair in the consistency anomaly set, calculate the corresponding difference of each power flow path in different power flow dimensions. If the difference of any power flow dimension parameter of a power flow path under the same path number exceeds the allowable judgment range, then mark the power flow path as a conflict path, and record the proportion of the number of conflict paths to the total number of power flow paths as the collaborative consistency conflict rate of the partition pair.

[0033] Step C includes:

[0034] C1. For partition pairs with a coordination consistency conflict rate higher than the preset conflict rate threshold, retrieve all power grid operation log text content corresponding to the operation cycle of the partition pair, search for entries in the log that match the conflict path number, count the frequency of their occurrence in the entire log, record the alternative path number that is paired with it and the number of times it is called in the log, and calculate the alternative frequency corresponding to the alternative path.

[0035] C2. Based on the substitution frequency of alternative paths, calculate the structural location fitness of each alternative path in power grid operation:

[0036] ;

[0037] In the above formula, Alternative Path Structural position adaptability, Alternative Path The substitution frequency, For conflict paths Frequency of occurrence in the original path The total number of records in the runtime log. The time number when the alternative path first appears in the runtime log. For conflict paths The time number when it first appeared in the runtime log;

[0038] C3. Select the path with the highest structural location adaptability and higher than the reference value as the alternative path, replace the path node order of the conflicting path, and update the number, current and voltage information in the path table. Finally, output the power flow path adjustment data result, i.e. power dispatching scheme.

[0039] Thirdly, the present invention proposes a power grid partitioning system based on flexible technology, including a grouped power flow aggregation generation module and a hierarchical clustering module;

[0040] The grouped power flow aggregation generation module is used to extract the power flow characteristics of each zone in the power grid, group and aggregate them, and generate grouped power flow aggregation containing multiple zone groups.

[0041] The hierarchical clustering module is used to calculate the hierarchical merging value of each partition group, and to perform hierarchical clustering on each partition group based on the hierarchical merging value to obtain the hierarchical structure of partition collaboration.

[0042] The power flow aggregation quantity generation module includes a partitioned local power flow vector forming unit, a power flow matching degree value calculation unit, and a grouped power flow aggregation quantity generation unit.

[0043] The partitioned local power flow vector forming unit is used to extract the power flow characteristics and context information of key nodes in each partition of the power grid based on the load characteristics, power supply layout and real-time operation data of each partition. It also uses vectorized encoding to analyze the combination structure of power flow direction and amplitude of key nodes in each partition under different power flow characteristics to obtain the partitioned local power flow vector.

[0044] The power flow matching degree calculation unit is used to calculate the power flow matching degree between each partition based on the partition local power flow vector, using the following formula:

[0045] ;

[0046] In the above formula, For partitioning and partitions Trend matching score For partitioning In the The weight of the trend of wei For partitioning In the The weight of the trend of wei This represents the total number of trend characteristic dimensions.

[0047] The grouped power flow aggregation generation unit is used to compare the power flow matching degree value with the preset power flow attribution benchmark value. Perform a comparison, if Then partition and partitions They are merged into the same partition group; if Then partition and partitions Without merging, the final output will be the grouped power flow aggregation volume.

[0048] The hierarchical clustering module includes an angle value calculation unit, a hierarchical merge value calculation unit, and a hierarchical structure formation unit;

[0049] The included angle calculation unit is used to calculate the included angle between any two partitions in each partition group using the following formula:

[0050] ;

[0051] In the above formula, For partitioning and partitions The angle between them, For partitioning The power flow center vector, For partitioning The power flow center vector;

[0052] The hierarchical merge value calculation unit is used to calculate the partition collaborative hierarchical merge value of each partition group based on the angle between two partitions in each partition group, using the following formula:

[0053] ;

[0054] In the above formula, For partition groups The partition collaboration level merge value, For partition groups The total number of partitions in the data. For partitioning and partitions The similarity of the power flow center vectors;

[0055] The hierarchical structure forming unit is used to determine the partition collaborative level merging value of each partition group. If the partition collaborative level merging value of multiple partition groups is higher than the set partition collaborative level division standard value, the similarity of the power flow center vector between these partition groups is also higher than the set similarity standard value. If so, they are classified into the same level; otherwise, they are classified into different parallel levels, and finally, a partition collaborative hierarchical structure containing multiple parallel levels is obtained.

[0056] Fourthly, this invention proposes a power grid dispatching system based on flexible technology, including the aforementioned power grid partitioning system, conflict rate determination module, and power dispatching scheme determination module;

[0057] The conflict rate determination module is used to filter out partition pairs with consistency deviations in the same level based on the partition collaborative hierarchical structure, and determine the conflict path and collaborative consistency conflict rate in each partition pair.

[0058] The power allocation scheme determination module is used to determine the power allocation scheme based on the coordination consistency conflict rate of each partition. The power allocation scheme is to replace the conflicting path with a high-frequency alternative path.

[0059] The conflict rate determination module includes a consistency anomaly set unit and a collaborative consistency conflict rate unit.

[0060] The consistency anomaly set unit is used to calculate the partition consistency deviation value between any two partition groups at the same level in the partition collaborative hierarchical structure, and add partition pairs with partition consistency deviation values ​​greater than the threshold to the consistency anomaly set.

[0061] The partition consistency deviation value between partition groups is calculated using the following formula:

[0062] ;

[0063] In the above formula, For partition groups and partition groups The partition consistency deviation value, For the trend path The weight, For partition groups Mid-current path Trend value, For partition groups Mid-current path Trend value, The total number of trend paths;

[0064] The collaborative consistency conflict rate unit is used to calculate the corresponding difference of each power flow path in different power flow dimensions for each partition pair in the consistency anomaly set. If the difference of any power flow dimension parameter of a power flow path under the same path number exceeds the allowable judgment range, the power flow path is marked as a conflict path, and the proportion of the number of conflict paths to the total number of power flow paths is recorded as the collaborative consistency conflict rate of the partition pair.

[0065] The power dispatching scheme determination module includes an alternative frequency calculation unit, a structural location fitness calculation unit, and an alternative path replacement unit.

[0066] The substitution frequency calculation unit is used to retrieve all power grid operation log text content corresponding to the operation cycle of partition pairs with a coordination consistency conflict rate higher than a preset conflict rate threshold, retrieve entries in the log that match the conflict path number, count the frequency of their occurrence in the entire log, record the substitution path number that is paired with it and the number of times it is called in the log, and calculate the substitution frequency corresponding to the substitution path.

[0067] The structural location fitness calculation unit is used to calculate the structural location fitness of each alternative path in power grid operation based on the alternative path's substitution frequency.

[0068] ;

[0069] In the above formula, Alternative Path Structural position adaptability, Alternative Path The substitution frequency, For conflict paths Frequency of occurrence in the original path The total number of records in the runtime log. The time number when the alternative path first appears in the runtime log. For conflict paths The time number when it first appeared in the runtime log;

[0070] The alternative path replacement unit is used to select the path with the highest structural location adaptability and higher than the reference benchmark value as the alternative path, replace the path node order of the conflicting path, and update the number, current and voltage information in the path table, and finally output the power flow path adjustment data result, i.e. the power dispatching scheme.

[0071] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0072] 1. This invention proposes a power grid partitioning method based on flexible technology, including extracting the power flow characteristics of each partition in the power grid, grouping and aggregating them to generate a grouped power flow aggregation quantity containing multiple partition groups; calculating the partition coordination hierarchical merging value of each partition group, and performing hierarchical clustering of each partition group based on the partition coordination hierarchical merging value to obtain a partition coordination hierarchical structure. On the one hand, under the condition of high proportion of new energy access, this method fully considers the differences in load characteristics and power supply layout between different regions. By vector encoding the power flow characteristics and context information of key nodes in the power grid partition, it identifies the co-occurrence relationship of power flow and uses the power flow matching degree value as the attribution standard, improving the depth of identification of power flow relationship in differentiated operation scenarios and enhancing the accuracy of partition attribution. On the other hand, this method establishes a hierarchical structure based on grouping and aggregation, effectively constructing a power flow abstraction and aggregation system between partitions, solving the problem of fuzzy partition power flow hierarchy in traditional structures, accurately determining partition consistency, improving the ability of power grid operation quality control in multi-source heterogeneous environments, realizing more refined partitioning strategies and dynamic coordination, and improving the efficient coordination and flexible allocation capabilities between different regions of the power grid.

[0073] 2. This invention proposes a power grid dispatching method based on flexible technology. This method determines a power dispatching scheme based on power grid partitioning results. This includes, based on a partitioned collaborative hierarchical structure, identifying partition pairs with consistency deviations within the same level, and determining conflicting paths and collaborative consistency conflict rates within each partition pair; based on the collaborative consistency conflict rates of each partition, determining a power dispatching scheme that replaces conflicting paths with high-frequency alternative paths. This method uses high-frequency alternative paths to adjust the structural position of conflicting paths, achieving dynamic optimization of partitioned power flow paths, enhancing the adaptability of the power flow structure in actual business changes, ensuring the accuracy of partition merging operations and the stability of the system structure, and improving the consistency and accuracy of power grid collaboration during structural evolution. Attached Figure Description

[0074] Figure 1 This is an overall flowchart of the power grid partitioning method described in Example 1.

[0075] Figure 2 This is an overall flowchart of the power dispatching method described in Example 2.

[0076] Figure 3 This is a structural diagram of the power grid partitioning system described in Example 3.

[0077] Figure 4 This is a structural diagram of the power dispatching system described in Example 4. Detailed Implementation

[0078] The present invention will now be described in further detail with reference to specific embodiments and accompanying drawings.

[0079] This invention proposes a power grid partitioning and power dispatching method and system based on flexible technology, including steps such as extracting partition power flow aggregation, constructing a partition collaborative hierarchical structure, calculating the collaborative consistency conflict rate, adjusting power flow paths, and generating a collaborative fusion structure. By vectorizing the power flow characteristics and contextual information of key nodes, the accuracy of partition assignment is improved. Furthermore, by combining hierarchical structure and dynamic optimization strategies, the system enhances the power grid operation quality control capabilities in multi-source heterogeneous environments. Simultaneously, high-frequency alternative paths are used to adjust the power flow structure, achieving adaptive optimization, ensuring the accuracy of partition merging operations and system stability, significantly improving the intelligence level and processing efficiency in complex scenarios, and enhancing the consistency and flexibility of power dispatching.

[0080] Example 1:

[0081] like Figure 1 As shown, a power grid zoning method based on flexible technology is carried out in the following steps:

[0082] 1. Extract the power flow characteristics of each zone in the power grid, group and aggregate them to generate grouped power flow aggregation volume containing multiple zone groups;

[0083] First, based on the load characteristics, power supply layout and real-time operation data of each region in the power grid, the power flow characteristics and context information of the key nodes in the region are extracted. Then, the combination structure of power flow direction and amplitude of the key nodes in each region under different power flow characteristics is analyzed by vectorization coding to obtain the local power flow vector of the region.

[0084] Generally speaking, in a 500 kV power grid, the divisions are based on administrative regions, such as the Hubei power grid being divided into East Hubei and North Hubei, East Hubei and South Hubei, West Hubei, and Northwest Hubei. In a 220 kV and below power grid, the divisions are based on the distribution network structure. This invention applies flexible technology to further optimize the division structure of large areas that currently have problems such as short circuits and exceeding limits.

[0085] In power grid partitioning, it is necessary to comprehensively analyze load characteristics, power supply layout, and real-time operating data, integrating AC-side node characteristics and DC-side flexible adjustment capabilities to extract the power flow characteristics and contextual information of key nodes within each partition. Using vectorization coding technology, the power flow direction and amplitude of each key node in the power grid are precisely combined, and this information is converted into vector form for analysis. These key nodes originate from important load and power supply nodes within the partition, such as load center nodes, main power supply / receiving nodes, and power flow distribution-sensitive tie points. After power flow vector extraction and contextual information analysis, these nodes are used as input aggregates for "key node" calculations.

[0086] For example, taking a certain section of the power grid as an example, assume that the load characteristics of this section are represented by multiple dynamically changing load values ​​through load flow data, and the power supply layout is indicated by the power input and output characteristics at specific nodes. Then, real-time operating data (such as voltage, current, power, etc.) are collected and updated in real time. For the key nodes in this section, vectorization coding is used to encode the power flow direction (such as from point a to point b) and magnitude (such as 1kV voltage) to obtain the power flow vector of each key node.

[0087] Then, based on the local power flow vectors of each partition, the power flow matching degree between each partition is calculated using the following formula:

[0088] ;

[0089] In the above formula, For partitioning and partitions Trend matching score For partitioning In the The weight of the trend of wei For partitioning In the The weight of the trend of wei This represents the total number of trend characteristic dimensions.

[0090] The trend matching value is compared with the preset trend attribution benchmark value. Perform a comparison, if Then partition and partitions They are merged into the same partition group; if Then partition and partitions Without merging, the original partition structure is maintained, and the final grouped power flow aggregation volume is generated;

[0091] Based on the power flow vectors of different partitions in different operating scenarios, the matching degree of power flow vectors between different partitions is compared, mainly using Euclidean distance and cosine similarity for calculation.

[0092] For example, assuming the preset power flow attribution benchmark value is 0.05, the partition... and partitions The power flow vectors are respectively and Then, substituting into the formula, we get... This result indicates that partitioning and partitions The power flow characteristics of the two partitions are quite different, and their matching degree is lower than the preset threshold of 0.05. Therefore, these two partitions do not meet the conditions of belonging to the same group and are classified as independent partitions, thereby generating the group power flow grouping quantity.

[0093] Finally, based on the group power flow belonging to the group, for the partitions that have not yet been assigned, it is determined whether the power flow matching degree value with the partitions in the assigned group meets the assignment conditions. The partitions that do not meet the assignment conditions are retained as independent partitions, and the group power flow aggregation quantity is obtained.

[0094] The assignment criteria are determined by comparing the power flow matching values ​​between unassigned and assigned partitions. Assume there is a new partition with a power flow vector of... The assignment criteria are then determined by calculating the power flow matching degree between the assigned partition and the partition that has already been assigned. If the calculated power flow matching degree is higher than the set threshold of 0.05, the partition will be assigned to the relevant group; if the calculated matching degree is 0.04 and lower than the set assignment threshold of 0.05, the partition will be retained as an independent partition, and the final grouped power flow aggregation is the local power flow vector of the current partition.

[0095] 2. Calculate the partition collaboration level merge value for each partition group, and perform hierarchical clustering on each partition group based on the partition collaboration level merge value to obtain the partition collaboration hierarchical structure;

[0096] First, extract the power flow center vector of each partition in each group, and calculate the angle between any two partitions in each group using the following formula:

[0097] ;

[0098] In the above formula, For partitioning and partitions The angle between them, For partitioning The power flow center vector, For partitioning The power flow center vector; where the power flow center vector of each partition is obtained by weighted averaging of the power flow characteristics (such as voltage, current, power, etc.) of all key nodes in that partition, which represents the main power flow direction and magnitude of that partition in the power grid.

[0099] In real-world power grid scenarios, calculating the included angle value is significant in determining the likelihood of coordination between different zones.

[0100] For example, suppose partitions The power flow center vector is partition The power flow center vector is The power flow similarity between two partitions is determined by calculating the angle between them. If the angle value is lower than a preset partition coordination level threshold, the two partitions are considered to have a high power flow similarity. Partition groups with angle values ​​lower than the preset partition coordination level threshold are selected to obtain preliminary coordination similarity between partitions, thus providing a basis for subsequent partition coordination level division.

[0101] Then, based on the angle between two partitions in each partition group, the partition collaboration level merge value of each partition group is calculated using the following formula:

[0102] ;

[0103] In the above formula, For partition groups The partition collaboration level merge value represents the partition group. The average consistency level of the power flow direction in all internal sub-districts has a value range of approximately [-1, 1]. The closer it is to 1, the higher the level of coordination (consistent direction). The closer it is to 0 or a negative value, the worse the coordination (large difference in power flow direction). For partition groups The total number of partitions in the data. For partitioning and partitions The similarity of the power flow center vectors, when When smaller (similar directions), A value close to 1 indicates strong synergy between the two partitions. When it is large, A value close to -1 indicates poor coordination; the denominator This indicates the number of all possible partition pairs within the partition group (excluding self-pairing), which ensures that the result is the average similarity rather than the sum;

[0104] Finally, the partition collaborative hierarchical merge value is called to organize the merged partition hierarchical groups and analyze the hierarchical structure mapping relationship.

[0105] Based on the partition collaboration level merge value of each partition group, if the partition collaboration level merge value of multiple partition groups is higher than the set partition collaboration level division standard value, then the similarity of the power flow center vectors among these partition groups is detected. If the similarity score is also higher than the set similarity standard value, then it is classified as the same level; otherwise, it is classified as a different parallel level. Finally, a partitioned collaborative hierarchical structure containing multiple parallel levels is obtained.

[0106] After completing the merging of partition coordination levels, the merged partition hierarchical groups are organized, and the mapping relationships of the hierarchical structure are further analyzed. Based on the partition coordination level merging values, it is determined which partitions can be grouped into the same hierarchical group and which need to be retained as independent groups. This analysis not only reflects the degree of coordination between partitions but also effectively guides the adjustment and optimization of various regions in the power grid.

[0107] For example, determining the coordination relationship between zones by the angle value of the power flow center vector essentially utilizes the angular characteristics of AC power flow combined with the rapid adjustment capability of the DC flexible channel. Setting the standard value for zone coordination hierarchy to 0.8, a certain zone group has 3 zones with angle values ​​of 30°, 45°, and 60°, and the calculated... The results indicate that the partition coordination level merging value of this partition group is lower than the preset standard value of 0.8, suggesting a low degree of coordination within the partition group. Therefore, this partition group will not be merged into the same level group but will remain at an independent level, further impacting power grid dispatching and management. In this way, partitions with low coordination will be assigned to different levels, avoiding unnecessary coordination impacts.

[0108] In a specific power grid scenario, if the calculated merging values ​​of certain regional groups are high, they can be grouped into the same level to facilitate more efficient power grid dispatching and optimization. The resulting regional collaborative hierarchical structure will become a key basis for power grid operation, supporting more precise control and scheduling.

[0109] Example 2:

[0110] like Figure 2 As shown, a power grid dispatching method based on flexible technology is carried out in the following steps:

[0111] A. The power grid is partitioned using steps 1-2 in Example 1 to obtain a partitioned collaborative hierarchical structure.

[0112] B. Based on the partitioned collaborative hierarchical structure, screen out each partition pair with consistency deviation in the same level, and determine the conflict path and collaborative consistency conflict rate in each partition pair.

[0113] First, the collaborative level partition group defined in the partition collaborative hierarchical structure is called to extract the context flow structure of the partition in the differentiated operation scenario, parse the flow path, and obtain the partition flow dependency matrix.

[0114] The process involves calling the partition groups defined in the partition collaborative hierarchy structure, that is, extracting all partition group numbers contained in each collaborative hierarchy based on the partition collaborative hierarchy division results generated in the previous steps. For example, partition collaborative hierarchy 1 contains partition groups... , , In this step, retrieve sequentially , , The power flow data for each partition group in differentiated operating scenarios correspond to different operating condition datasets simulated in the power flow calculation model. These differentiated operating scenarios can refer to power flow states under conditions such as peak load, valley load, and accidental disturbances. When extracting this type of data, power flow data for each partition group, including nodes and branches, needs to be extracted. The data is then integrated into a partition context power flow structure array using a three-dimensional index of timestamp, partition group number, and node / branch number. This power flow data includes, but is not limited to, active power. reactive power Node voltage Branch current .

[0115] For example, partition groups The power flow path structure under peak load is represented as a path set. Each power flow path includes the path's start and end nodes, branch numbers, and corresponding power flow parameters. After obtaining the power flow path information, a partitioned power flow dependency matrix is ​​constructed based on the path set. This matrix is ​​symmetric and represents whether a power flow path exists between any two nodes and the direction and strength of the power flow transmission. For example, if there is power flow transmission between node 1 and node 2, then the matrix elements... Set as trend value If it does not exist, then assign a value of 0, and so on to fill the entire dependency matrix.

[0116] Then, for different partition groups at the same level in the partition collaborative hierarchical structure, based on the partition flow dependency matrix and combined with the partition context flow structure, the partition consistency deviation value between any two partition groups is calculated, and partition pairs with partition consistency deviation values ​​greater than the threshold are added to the consistency anomaly set.

[0117] The partition consistency deviation value between partition groups is calculated using the following formula:

[0118] ;

[0119] In the above formula, For partition groups and partition groups The partition consistency deviation value is a weighted average of the power flow differences between two partition groups across multiple power flow paths. Essentially, it measures the degree of inconsistency in power flow distribution. When the power flow distributions of the two partition groups are similar across all paths, i.e. ,but , indicating partition group and partition groups High coordination and strong consistency are achieved when two partition groups show significant differences in power flow direction or magnitude on several paths. Increase, then Increase, indicating partition group and partition groups Large inconsistency and weak coordination; For the trend path The weight, For partition groups Mid-current path Trend value, For partition groups Mid-current path Trend value, The total number of trend paths;

[0120] Based on the partitioned power flow dependency matrix, extract the corresponding elements of the power flow paths between partition groups row by row, and compare the power flow parameters in each power flow path to see if there is any overlap. For example, for partition groups... and partition groups The dependency matrices of two partition groups, if the path If a path exists in both matrices and the power flow direction is consistent, it is considered an overlapping path; otherwise, it is considered non-overlapping. The overlapping paths are then processed as vector differences, determined jointly by the node voltage stability coefficient and the power magnitude through which the path passes. If the power flow path... Voltage drop If the power is 120kW, then set This is to reflect the degree of influence of the path on the overall zonal power flow structure.

[0121] For example, a certain coordination level group contains 3 paths, numbered Path 1, Path 2, and Path 3, with power flow values ​​of: partition group : , , Partition Group : , , ; Trend path weight: , , Substituting into the formula and calculating, we obtain... This result indicates that the partition group and partition groups There is a significant deviation in the power flow structure, with a deviation value of 12.857, which is higher than the preset consistency judgment threshold of 10. Therefore, this pair of partitions is added to the consistency anomaly set.

[0122] Finally, for each partition pair in the consistency anomaly set, the corresponding difference of each power flow path in different power flow dimensions is calculated for each path. If the difference of any power flow dimension parameter of a power flow path under the same path number exceeds the allowable judgment range, the power flow path is marked as a conflict path, and the proportion of the number of conflict paths to the total number of power flow paths is recorded as the collaborative consistency conflict rate of the partition pair.

[0123] The difference between each tidal current path and the corresponding tidal current dimension is calculated using the following formula:

[0124] ;

[0125] In the above formula, For partition groups and partition groups Trend path In terms of trends The difference, For partition groups Mid-current path In terms of trends Trend value, For partition groups Mid-current path In terms of trends Trend value;

[0126] The determination of path conflict sets a threshold for each dimension. When the same trend path The above satisfies For any trend dimension If established, then the trend path will be... Marked as a conflict path.

[0127] The marked partition pairs in the consistency anomaly set are traversed and checked. The matching results of the power flow paths in each pair are compared path by path, and parameters such as current direction, voltage difference, voltage phase angle, and path resistance are extracted. If any parameter in the power flow paths of two partition groups differs from any allowable judgment range under the same path number, a conflict flag is applied to the partition group containing that path. The allowable judgment range is set based on practical engineering experience and includes consistent power flow direction, voltage difference not exceeding 2%, phase angle difference not exceeding 5°, and resistance error less than 10%. Conflict determination is obtained by combining DC fast compensation and AC power flow stability through contextual power flow structure and path dependency analysis.

[0128] For example, using the partition pairs already marked in the consistency anomaly set. and For example, the voltages of power flow path 2 are 219.5V and 225.0V, with a voltage difference of 5.5V. The calculated difference is 2.45%, which exceeds the set range. Therefore, path 2 is marked as a conflict path. This operation is repeated to partition and count all conflict paths. The number of conflict paths is divided by the total number of paths to obtain the cooperative consistency conflict rate. For example, partition groups... and partition groups The total number of overlapping power flow paths is 20, and the number of conflicting paths is 7, resulting in a conflict rate of 35%. This result indicates that 35% of the paths in the current collaborative hierarchy group are conflicting, indicating a poor degree of consistency and collaboration.

[0129] C. Determine the power dispatching scheme based on the coordination and consistency conflict rate of each partition;

[0130] The power dispatching scheme involves replacing conflicting paths with high-frequency alternative paths. The specific steps include:

[0131] First, for partition pairs whose coordination consistency conflict rate is higher than the preset conflict rate threshold, retrieve all power grid operation log text content corresponding to the operation cycle of the partition pair, search for entries in the log that match the conflict path number, count the frequency of their appearance in the entire log, and record the alternative path number that is paired with it and the number of times it is called in the log, and calculate the alternative frequency corresponding to the alternative path.

[0132] A preset conflict rate threshold of 30% is used. Based on power grid coordination consistency conflict rate data, the coordination level partition group numbers exceeding the conflict rate threshold are extracted. Then, all power grid operation log text contents corresponding to the operation cycle of the partition group are retrieved. Entries matching the conflict path numbers are searched in the logs to further locate the actual operation information of each original path and the record of the occurrence of alternative events. The original path is the normal power flow path (including conflict paths) in the operation log. When parsing the log content, an index sequence is constructed using path number, log timestamp, and path substitution identifier as basic fields. For each original path number, its frequency of occurrence in the entire log is counted, and the corresponding alternative path number and the number of times it is called in the log are recorded. The substitution frequency corresponding to the alternative path is calculated, that is, the number of times a power flow path is called as an alternative path.

[0133] For example, conflict paths The original path appeared 160 times in the log. Replace 80 times, path If the substitution frequency is 80 times, then the substitution frequency ratio is 80 / 160 = 0.5. This substitution frequency ratio exceeds the preset threshold of 0.4, meaning the substitution path is considered invalid. For high-frequency alternative paths, the final selection yields a set of all alternative paths that meet the criteria.

[0134] Then, based on the substitution frequency of the alternative paths, the structural location fitness of each alternative path in power grid operation is calculated:

[0135] ;

[0136] In the above formula, Alternative Path The structural location fitness value is such that the larger the value, the more frequently the alternative path is used, the more critical the conflict is dealt with, the faster the response is, and the better the structural location. Alternative Path The frequency of substitution indicates how frequently the path is used during system operation; the higher the frequency, the more stable and reliable the alternative path is. For conflict paths The frequency of occurrence in the original path represents the intensity or importance of the conflict caused by the original path; the higher the frequency, the more important the substitution. The total number of records in the runtime log, i.e., the total number of entries in the entire log dataset, represents the normalization term, making the metric independent of the runtime scale, normalizing the denominator, and maintaining comparability; The time number when the alternative path first appears in the runtime log. For conflict paths The time number when it first appears in the runtime log. This represents the time interval between the occurrence of the alternative path and the occurrence of the conflicting path; the shorter the interval, the faster the response and the higher the fitness.

[0137] This falls under the power dispatching phase, and its objective is to evaluate the structural adaptability and response rationality of candidate alternative paths during system operation after identifying conflicting paths, thereby selecting the optimal alternative path. Before calculating the location fitness, a path alternative index matrix needs to be constructed based on the selected set of alternative paths. This matrix includes path number, alternative frequency, original frequency, total number of log entries, first alternative time, and first appearance time of the original path. Six numerical parameters are extracted for each group of paths and substituted into the actual parameters of the alternative paths. Among these, the alternative paths... The parameters are: , , , , Calculations yielded Similarly, calculate the structural position fitness of all alternative paths in the alternative path set. If the alternative path... Having the highest structural location adaptability means that this path appears earlier as an alternative path in the log records, is replaced more frequently, and has a more stable replacement relationship, making it suitable for path replacement scenarios. This is a typical intersection of flexible DC and AC, where the DC path can serve as a high-frequency alternative path to correct AC power flow in real time.

[0138] Finally, the path with the highest structural location adaptability and higher than the reference value is selected as the alternative path, the path node order of the conflicting path is replaced, and the number, current and voltage information in the path table are updated. Finally, the power flow path adjustment data result, i.e. the power dispatching scheme, is output.

[0139] A fitness baseline of 0.002 is set. Based on the structural location fitness results, the set of alternative paths is sorted, prioritizing paths with fitness higher than the baseline. If multiple alternative paths meet this condition, the path with the highest structural location fitness is selected as the alternative path. Conflicting paths are common conflicts between partition pairs and should be marked on both sides simultaneously; that is, the replacement of conflicting paths should be applied synchronously to the partition group. and partition groups To maintain power flow coordination within the hierarchy, the original location of the conflicting path is partition number Z1, and its path segment is replaced with an alternative path. The path node sequence is determined, and the path connection direction and end voltage level are retained as the basis for consistency judgment of the replacement structure during replacement. The number, current and voltage information in the path table are updated, and the power flow path adjustment data results are finally output.

[0140] D. Based on the power flow path adjustment data, extract the power flow vector value of the partition in the current operating data, compare the fusion difference of the power flow vector of the partition before and after the adjustment, merge the partitions that meet the conditions into a unified structure group, and obtain the power grid collaborative fusion structure, so that the partitions can maintain the stability of the AC network and achieve dynamic merging with the flexibility of DC.

[0141] The purpose of step D is to evaluate whether the adjusted path structure maintains sufficient consistency with the original structure by calculating the fusion difference degree of each zone after the power flow path adjustment is completed in step C. If the adjusted structure differs too much from the original structure (i.e., the fusion difference degree is higher than a set threshold), it indicates that the adjusted path may have an adverse impact on the stability of the power grid, and therefore the adjustment schemes for these zones will be eliminated. Conversely, if the fusion difference degree is low, it indicates that the path replacement is effective and the adjusted structure can maintain the stability of the power grid, and the adjustments for these zones will be used as the final power dispatch scheme.

[0142] First, based on the power flow path adjustment data, the partitions in the current running data are extracted, the power flow vector value of each partition is identified, the power flow relationship of the partitions in different running scenarios is analyzed, and the partition power flow vector data is obtained.

[0143] Based on the power flow path adjustment data from the previous stage, the set of all participating partitions in the current operating data is extracted. The partition numbers are then traversed one by one, and the power flow vector data for each partition at the current operating moment is extracted from the power grid operation database. The power flow vector refers to the power flow characteristic array of key nodes within the partition, typically constructed using node active power, node voltage magnitude and phase angle, and branch current as vector dimensions.

[0144] For example, three master nodes are selected in partition A, and their node power vectors are measured as [5.2, 4.8, 5.5], representing their typical power flow state at the current operating moment. During the extraction process, each partition is required to have a unified dimension and consistent units. The power flow state is recorded separately for data under different operating scenarios. The power flow vectors extracted from different scenarios are recorded independently, ultimately forming a multi-dimensional matrix data structure. Based on this, subsequent analysis of the changes in each partition before and after adjustment is performed, completing the acquisition of partition power flow vector data.

[0145] Then, the partition power flow vector data is retrieved, and the fusion difference between the partition power flow vectors before and after adjustment is compared:

[0146] ;

[0147] In the above formula, For partitioning The degree of integration difference To adjust the partition In the dimensional power flow vector, For the adjusted partition In the dimensional power flow vector, The hierarchical depth of the partition in the power grid. This refers to the number of times a partition is referenced within the power grid. The number of structural changes to the partition. This represents the total number of trend characteristic dimensions.

[0148] The numerical result of the fusion difference degree serves as a key indicator for determining whether a region is included in the fusion structure. It directly affects whether a region is merged into a unified structure group. The unified structure group is the final set of fused power grid regions obtained after power flow path adjustment and fusion screening. It consists of regions that meet the fusion difference degree threshold and reflects the final stable form of the power grid structure.

[0149] For example, setting the group fusion threshold to 0.002, taking partition A as an example, the partition power flow vector of the original structure is called as follows: The adjusted partition power flow vector is The values ​​of corresponding dimensions in the original and adjusted vectors of each partition are compared one by one. The difference between the vectors is calculated according to the Euclidean distance formula. Then, the difference is normalized and adjusted by combining the three parameters of partition A in the power grid: a hierarchy depth of 2, a reference count of 12, and a structural change count of 1. The fusion difference degree of partition A is then obtained. Similarly, the fusion difference degrees for partitions B and C were calculated to be 0.00231 and 0.0071, respectively. This result indicates that partition A has the smallest post-adjustment change in fusion difference degree compared to other partitions, and is below the group fusion threshold. Under conditions of structural hierarchy, referencing, and change frequency, its post-adjustment state remains highly consistent with its pre-adjustment state, indicating that the partition structure possesses stable fusion capabilities. This fusion difference degree value is directly used to determine whether the current partition meets the group retention conditions; if it is below the set threshold, it is determined to be a group that can be retained.

[0150] Finally, the eligible partitions are selected and merged into a unified structure group to obtain the power grid collaborative integration structure;

[0151] Based on the fusion difference results, if a partition's fusion difference is lower than the group fusion threshold, it is considered to retain the group structure. Partition A meets this requirement and is merged with the original group, remaining unchanged. The original group refers to the initial partition combination structure formed in the power grid before step C (i.e., before power flow path adjustment). It is the partition division result obtained based on power flow matching degree; in other words, the original group is the result of preliminary power flow clustering, representing the basic topology of the power grid before path adjustment. Partition B is slightly higher than the group fusion threshold. Further comparison is made based on the number of structural changes and the reference frequency. If the number of structural changes for partition B is less than 2 and the reference frequency is greater than 8, then partition B can still be determined as a valid fusion structure. If partition B does not meet the requirement of fewer than 2 structural changes, it indicates that the partition has undergone significant structural changes during adjustment, and therefore is no longer considered a valid fusion structure; partition B does not enter the unified structure group. Partition C's fusion difference is significantly higher than the group fusion threshold, i.e., when the fusion difference of partition C is 10%-20% higher than the threshold, it can be determined as "significantly higher," and partition C is removed and not merged. Finally, only partition A is retained and merged into the unified structure group, outputting the power grid collaborative fusion structure.

[0152] In summary, this invention, by encompassing the entire process from data extraction and analysis to optimization and adjustment, from obtaining the power flow aggregation data of different zones to generating the grid collaborative fusion structure, can effectively improve the intelligence level and processing efficiency of grid zoning and power dispatching. For example, in practical application scenarios, when a power grid area experiences significant load fluctuations due to the access of new energy sources, this method can quickly identify the affected zones, dynamically adjust the power flow paths, and ensure the safety and economy of system operation through fusion difference judgment.

[0153] Example 3:

[0154] like Figure 3 As shown, a power grid partitioning system based on flexible technology includes a grouped power flow aggregation generation module and a hierarchical clustering module;

[0155] The grouped power flow aggregation generation module is used to extract the power flow characteristics of each zone in the power grid, group and aggregate them, and generate grouped power flow aggregation containing multiple zone groups.

[0156] The hierarchical clustering module is used to calculate the hierarchical merging value of each partition group, and to perform hierarchical clustering on each partition group based on the hierarchical merging value to obtain the hierarchical structure of partition collaboration.

[0157] The power flow aggregation quantity generation module includes a partitioned local power flow vector forming unit, a power flow matching degree value calculation unit, and a grouped power flow aggregation quantity generation unit.

[0158] The partitioned local power flow vector forming unit is used to extract the power flow characteristics and context information of key nodes in each partition of the power grid based on the load characteristics, power supply layout and real-time operation data of each partition. It also uses vectorized encoding to analyze the combination structure of power flow direction and amplitude of key nodes in each partition under different power flow characteristics to obtain the partitioned local power flow vector.

[0159] The power flow matching degree calculation unit is used to calculate the power flow matching degree between each partition based on the partition local power flow vector, using the following formula:

[0160] ;

[0161] In the above formula, For partitioning and partitions Trend matching score For partitioning In the The weight of the trend of wei For partitioning In the The weight of the trend of wei This represents the total number of trend characteristic dimensions.

[0162] The grouped power flow aggregation generation unit is used to compare the power flow matching degree value with the preset power flow attribution benchmark value. Perform a comparison, if Then partition and partitions They are merged into the same partition group; if Then partition and partitions Without merging, the final output will be the grouped power flow aggregation volume.

[0163] The hierarchical clustering module includes an angle value calculation unit, a hierarchical merge value calculation unit, and a hierarchical structure formation unit;

[0164] The included angle calculation unit is used to calculate the included angle between any two partitions in each partition group using the following formula:

[0165] ;

[0166] In the above formula, For partitioning and partitions The angle between them, For partitioning The power flow center vector, For partitioning The power flow center vector;

[0167] The hierarchical merge value calculation unit is used to calculate the partition collaborative hierarchical merge value of each partition group based on the angle between two partitions in each partition group, using the following formula:

[0168] ;

[0169] In the above formula, For partition groups The partition collaboration level merge value, For partition groups The total number of partitions in the data. For partitioning and partitions The similarity of the power flow center vectors;

[0170] The hierarchical structure forming unit is used to determine the partition collaborative level merging value of each partition group. If the partition collaborative level merging value of multiple partition groups is higher than the set partition collaborative level division standard value, the similarity of the power flow center vector between these partition groups is also higher than the set similarity standard value. If so, they are classified into the same level; otherwise, they are classified into different parallel levels, and finally, a partition collaborative hierarchical structure containing multiple parallel levels is obtained.

[0171] Example 4:

[0172] like Figure 4 As shown, a power grid dispatching system based on flexible technology includes the power grid partitioning system described in Example 3, a conflict rate determination module, and a power dispatching scheme determination module.

[0173] The conflict rate determination module is used to filter out partition pairs with consistency deviations in the same level based on the partition collaborative hierarchical structure, and determine the conflict path and collaborative consistency conflict rate in each partition pair.

[0174] The power allocation scheme determination module is used to determine the power allocation scheme based on the coordination consistency conflict rate of each partition. The power allocation scheme is to replace the conflicting path with a high-frequency alternative path.

[0175] The conflict rate determination module includes a consistency anomaly set unit and a collaborative consistency conflict rate unit.

[0176] The consistency anomaly set unit is used to calculate the partition consistency deviation value between any two partition groups at the same level in the partition collaborative hierarchical structure, and add partition pairs with partition consistency deviation values ​​greater than the threshold to the consistency anomaly set.

[0177] The partition consistency deviation value between partition groups is calculated using the following formula:

[0178] ;

[0179] In the above formula, For partition groups and partition groups The partition consistency deviation value, For the trend path The weight, For partition groups Mid-current path Trend value, For partition groups Mid-current path Trend value, The total number of trend paths;

[0180] The collaborative consistency conflict rate unit is used to calculate the corresponding difference of each power flow path in different power flow dimensions for each partition pair in the consistency anomaly set. If the difference of any power flow dimension parameter of a power flow path under the same path number exceeds the allowable judgment range, the power flow path is marked as a conflict path, and the proportion of the number of conflict paths to the total number of power flow paths is recorded as the collaborative consistency conflict rate of the partition pair.

[0181] The power dispatching scheme determination module includes an alternative frequency calculation unit, a structural location fitness calculation unit, and an alternative path replacement unit.

[0182] The substitution frequency calculation unit is used to retrieve all power grid operation log text content corresponding to the operation cycle of partition pairs with a coordination consistency conflict rate higher than a preset conflict rate threshold, retrieve entries in the log that match the conflict path number, count the frequency of their occurrence in the entire log, record the substitution path number that is paired with it and the number of times it is called in the log, and calculate the substitution frequency corresponding to the substitution path.

[0183] The structural location fitness calculation unit is used to calculate the structural location fitness of each alternative path in power grid operation based on the alternative path's substitution frequency.

[0184] ;

[0185] In the above formula, Alternative Path Structural position adaptability, Alternative Path The substitution frequency, For conflict paths Frequency of occurrence in the original path The total number of records in the runtime log. The time number when the alternative path first appears in the runtime log. For conflict paths The time number when it first appeared in the runtime log;

[0186] The alternative path replacement unit is used to select the path with the highest structural location adaptability and higher than the reference benchmark value as the alternative path, replace the path node order of the conflicting path, and update the number, current and voltage information in the path table, and finally output the power flow path adjustment data result, i.e. the power dispatching scheme.

Claims

1. A power grid zoning method based on flexible technology, characterized in that, The partitioning method includes: S1. Extract the power flow characteristics of each zone in the power grid, group and aggregate them to generate grouped power flow aggregation volume containing multiple zone groups; S2. Calculate the partition collaboration level merge value for each partition group, and perform hierarchical clustering on each partition group based on the partition collaboration level merge value to obtain the partition collaboration hierarchical structure.

2. The power grid zoning method based on flexible technology according to claim 1, characterized in that, S1 includes: S11. Based on the load characteristics, power supply layout and real-time operation data of each region in the power grid, extract the power flow characteristics and context information of the key nodes in the region, and analyze the combination structure of power flow direction and amplitude of the key nodes in each region under different power flow characteristics through vectorized coding to obtain the local power flow vector of the region. S12. Based on the local power flow vector of each partition, the power flow matching degree between each partition is calculated using the following formula: ； In the above formula, For partitioning and partitions Trend matching score For partitioning In the The weight of the trend of wei For partitioning In the The weight of the trend of wei This represents the total number of trend characteristic dimensions. S13. Compare the trend matching value with the preset trend attribution benchmark value. Perform a comparison, if Then partition and partitions They are merged into the same partition group; if Then partition and partitions Without merging, the final output will be the grouped power flow aggregation volume.

3. The power grid zoning method based on flexible technology according to claim 1, characterized in that, S2 includes: S21. Calculate the angle between any two partitions in each partition group using the following formula: ； In the above formula, For partitioning and partitions The angle between them, For partitioning The power flow center vector, For partitioning The power flow center vector; S22. Based on the angle between two partitions in each partition group, the partition collaboration level merge value of each partition group is calculated using the following formula: ； In the above formula, For partition groups The partition collaboration level merge value, For partition groups The total number of partitions in the data. For partitioning and partitions The similarity of the power flow center vectors; S23. Based on the partition collaboration level merging value of each partition group, if the partition collaboration level merging value of multiple partition groups is higher than the set partition collaboration level division standard value, then check whether the similarity of the power flow center vector between these partition groups is also higher than the set similarity standard value. If so, they are classified into the same level; otherwise, they are classified into different parallel levels, and finally a partition collaboration hierarchical structure containing multiple parallel levels is obtained.

4. A power grid dispatching method based on flexible technology, characterized in that, The power dispatching method includes: A. The power grid is partitioned using the partitioning method described in any one of claims 1-3 to obtain a partitioned collaborative hierarchical structure; B. Based on the partitioned collaborative hierarchical structure, screen out each partition pair with consistency deviation in the same level, and determine the conflict path and collaborative consistency conflict rate in each partition pair. C. Based on the coordination consistency conflict rate of each partition, determine the power dispatching scheme, which is to replace conflicting paths with high-frequency alternative paths.

5. A power grid dispatching method based on flexible technology according to claim 4, characterized in that, Step B includes: B1. For different partition groups at the same level in the partitioned collaborative hierarchical structure, calculate the partition consistency deviation value between any two partition groups, and add partition pairs with partition consistency deviation values ​​greater than the threshold to the consistency anomaly set. The partition consistency deviation value between partition groups is calculated using the following formula: ； In the above formula, For partition groups and partition groups The partition consistency deviation value, For the trend path The weight, For partition groups Mid-current path Trend value, For partition groups Mid-current path Trend value, The total number of trend paths; B2. For each partition pair in the consistency anomaly set, calculate the corresponding difference of each power flow path in different power flow dimensions. If the difference of any power flow dimension parameter of a power flow path under the same path number exceeds the allowable judgment range, then mark the power flow path as a conflict path, and record the proportion of the number of conflict paths to the total number of power flow paths as the collaborative consistency conflict rate of the partition pair.

6. A power grid zoning and power dispatching method based on flexible technology according to claim 4, characterized in that, Step C includes: C1. For partition pairs with a coordination consistency conflict rate higher than the preset conflict rate threshold, retrieve all power grid operation log text content corresponding to the operation cycle of the partition pair, search for entries in the log that match the conflict path number, count the frequency of their occurrence in the entire log, record the alternative path number that is paired with it and the number of times it is called in the log, and calculate the alternative frequency corresponding to the alternative path. C2. Based on the substitution frequency of alternative paths, calculate the structural location fitness of each alternative path in power grid operation: ； In the above formula, Alternative Path Structural position adaptability, Alternative Path The substitution frequency, For conflict paths Frequency of occurrence in the original path The total number of records in the runtime log. The time number when the alternative path first appears in the runtime log. For conflict paths The time number when it first appeared in the runtime log; C3. Select the path with the highest structural location adaptability and higher than the reference value as the alternative path, replace the path node order of the conflicting path, and update the number, current and voltage information in the path table. Finally, output the power flow path adjustment data result, i.e. power dispatching scheme.

7. A power grid zoning system based on flexible technology, characterized in that, The system includes a grouped power flow aggregation generation module and a hierarchical clustering module; The grouped power flow aggregation generation module is used to extract the power flow characteristics of each zone in the power grid, group and aggregate them, and generate grouped power flow aggregation containing multiple zone groups. The hierarchical clustering module is used to calculate the hierarchical merging value of each partition group, and to perform hierarchical clustering on each partition group based on the hierarchical merging value to obtain the hierarchical structure of partition collaboration.

8. A power grid zoning system based on flexible technology according to claim 7, characterized in that, The power flow aggregation quantity generation module includes a partitioned local power flow vector forming unit, a power flow matching degree value calculation unit, and a grouped power flow aggregation quantity generation unit. The partitioned local power flow vector forming unit is used to extract the power flow characteristics and context information of key nodes in each partition of the power grid based on the load characteristics, power supply layout and real-time operation data of each partition. It also uses vectorized encoding to analyze the combination structure of power flow direction and amplitude of key nodes in each partition under different power flow characteristics to obtain the partitioned local power flow vector. The power flow matching degree calculation unit is used to calculate the power flow matching degree between each partition based on the partition local power flow vector, using the following formula: ； In the above formula, For partitioning and partitions Trend matching score For partitioning In the The weight of the trend of wei For partitioning In the The weight of the trend of wei This represents the total number of trend characteristic dimensions. The grouped power flow aggregation generation unit is used to compare the power flow matching degree value with the preset power flow attribution benchmark value. Perform a comparison, if Then partition and partitions They are merged into the same partition group; if Then partition and partitions Without merging, the final output will be the grouped power flow aggregation volume; The hierarchical clustering module includes an angle value calculation unit, a hierarchical merge value calculation unit, and a hierarchical structure formation unit; The included angle calculation unit is used to calculate the included angle between any two partitions in each partition group using the following formula: ； In the above formula, For partitioning and partitions The angle between them, For partitioning The power flow center vector, For partitioning The power flow center vector; The hierarchical merge value calculation unit is used to calculate the partition collaborative hierarchical merge value of each partition group based on the angle between two partitions in each partition group, using the following formula: ； In the above formula, For partition groups The partition collaboration level merge value, For partition groups The total number of partitions in the data. For partitioning and partitions The similarity of the power flow center vectors; The hierarchical structure forming unit is used to determine the partition collaborative level merging value of each partition group. If the partition collaborative level merging value of multiple partition groups is higher than the set partition collaborative level division standard value, the similarity of the power flow center vector between these partition groups is also higher than the set similarity standard value. If so, they are classified into the same level; otherwise, they are classified into different parallel levels, and finally, a partition collaborative hierarchical structure containing multiple parallel levels is obtained.

9. A power grid dispatching system based on flexible technology, characterized in that, The system includes the power grid partitioning system, conflict rate determination module, and power dispatching scheme determination module as described in claim 7 or 8. The conflict rate determination module is used to filter out partition pairs with consistency deviations in the same level based on the partition collaborative hierarchical structure, and determine the conflict path and collaborative consistency conflict rate in each partition pair. The power allocation scheme determination module is used to determine the power allocation scheme based on the coordination consistency conflict rate of each partition. The power allocation scheme is to replace the conflicting path with a high-frequency alternative path.

10. A power grid dispatching system based on flexible technology according to claim 9, characterized in that, The conflict rate determination module includes a consistency anomaly set unit and a collaborative consistency conflict rate unit. The consistency anomaly set unit is used to calculate the partition consistency deviation value between any two partition groups at the same level in the partition collaborative hierarchical structure, and add partition pairs with partition consistency deviation values ​​greater than the threshold to the consistency anomaly set. The partition consistency deviation value between partition groups is calculated using the following formula: ； In the above formula, For partition groups and partition groups The partition consistency deviation value, For the trend path The weight, For partition groups Mid-current path Trend value, For partition groups Mid-current path Trend value, The total number of trend paths; The collaborative consistency conflict rate unit is used to calculate the corresponding difference of each power flow path in different power flow dimensions for each partition pair in the consistency anomaly set. If the difference of any power flow dimension parameter of a power flow path under the same path number exceeds the allowable judgment range, the power flow path is marked as a conflict path, and the proportion of the number of conflict paths to the total number of power flow paths is recorded as the collaborative consistency conflict rate of the partition pair. The power dispatching scheme determination module includes an alternative frequency calculation unit, a structural location fitness calculation unit, and an alternative path replacement unit. The substitution frequency calculation unit is used to retrieve all power grid operation log text content corresponding to the operation cycle of partition pairs with a coordination consistency conflict rate higher than a preset conflict rate threshold, retrieve entries in the log that match the conflict path number, count the frequency of their occurrence in the entire log, record the substitution path number that is paired with it and the number of times it is called in the log, and calculate the substitution frequency corresponding to the substitution path. The structural location fitness calculation unit is used to calculate the structural location fitness of each alternative path in power grid operation based on the alternative path's substitution frequency. ； In the above formula, Alternative Path Structural position adaptability, Alternative Path The substitution frequency, For conflict paths Frequency of occurrence in the original path The total number of records in the runtime log. The time number when the alternative path first appears in the runtime log. For conflict paths The time number when it first appeared in the runtime log; The alternative path replacement unit is used to select the path with the highest structural location adaptability and higher than the reference benchmark value as the alternative path, replace the path node order of the conflicting path, and update the number, current and voltage information in the path table, and finally output the power flow path adjustment data result, i.e. the power dispatching scheme.

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