A method for adaptive setting value check coordination control of relay protection

Abstract

The present application relates to the technical field of smart grid, and discloses a fixed value adaptive check coordination control method for relay protection, comprising the following steps: step S01: constructing a relay protection coordination correlation topological framework, step S02: decoupling and partitioning the correlation topological framework in step S01, step S03: triggering a check task and performing node correction judgment based on the equipment operation state, step S04: performing fixed value partition optimization on the coupled state subnode based on the coupling correction instruction, and step S05: performing coordination correlation topological update by executing fixed value optimization decision, which can well adapt to looped networks and multi-source grid-connected power grids without obvious upstream and downstream power flow relationship, solves the pain points of poor adaptability of traditional hierarchical setting methods in complex power grid scenarios and difficulty in eliminating coupled disturbances, reduces the calculation amount of fixed value check of relay protection in the whole network, and can automatically trigger fixed value check correction according to the change of power grid operation state.

Description

Technical Field

[0001] This invention relates to the field of smart grid technology, and more specifically to a setpoint adaptive verification and coordinated control method for relay protection. Background Technology

[0002] Relay protection is the core line of defense for ensuring the safe and stable operation of power systems. It detects faults or abnormal operating conditions in the power system, promptly disconnecting faulty components or issuing alarm signals to prevent the escalation of accidents. Setting verification is a crucial step in relay protection operation and maintenance management. Its core purpose is to verify whether the protection settings meet the basic requirements of selectivity, speed, sensitivity, and reliability under the current power grid operating conditions. With the continuous expansion of power system scale and profound changes in power supply structure, setting verification faces increasingly complex technical challenges, and the limitations of traditional verification methods are becoming increasingly apparent.

[0003] To address the shortcomings of traditional verification methods, the industry has begun research on adaptive protection technologies. The main idea behind existing adaptive technologies is to acquire real-time system operating status and power flow information, and update protection settings and action strategies through online calculations or rapid simulations. Some solutions introduce Wide Area Measurement Systems (WAMS) and Phasor Measurement Units (PMUs) to monitor real-time data from key nodes across the network, and utilize intelligent algorithms (such as particle swarm optimization and genetic algorithms) for setting optimization. Furthermore, a hierarchical, partitioned, coordinated protection framework based on Multi-Agent Systems (MAS) has also been proposed, aiming to improve system response speed using distributed parallel computing.

[0004] Although existing technologies have made some progress in relay protection setting and verification, the following prominent problems still exist: Existing setting verification is mostly carried out on a single protection device or a single protection level, lacking a coordinated verification mechanism across devices and levels. When the power grid topology changes (such as line commissioning / decommissioning, power source integration / exit), the settings of related protection devices need to be adjusted in a coordinated manner, but existing technologies are difficult to achieve linkage verification and coordinated control of settings of multiple devices. In addition, wide area communication networks are generally relied upon for data acquisition and setting distribution, but delays, packet loss, or even interruptions in communication links may cause adaptive strategies to fail, introducing new reliability risks. At the same time, some solutions use complex intelligent optimization algorithms, which have large computational loads and uncertain convergence times, making it difficult to meet the stringent real-time requirements of relay protection. Furthermore, the transparency and interpretability of the algorithms are insufficient, which is not conducive to engineering implementation and operation and maintenance management. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, the present invention provides a setpoint adaptive verification and coordination control method for relay protection to solve the problems existing in the background art.

[0006] This invention provides the following technical solution: a setpoint adaptive verification and coordinated control method for relay protection, comprising the following steps: Step S01: Construct a relay protection coordination and association topology framework: Collect basic operation data of the entire power grid, set up topology protection nodes, and generate a global relay protection coordination and association topology framework that binds the basic operation data; Step S02: Decouple and partition the nodes of the associated topology framework in step S01: sequentially traverse the protection devices of each node in the coordinated associated topology framework, divide the nodes into independent state child nodes and coupled state child nodes, and generate the associated topology structure. Step S03: Trigger a verification task based on the device operating status and perform node correction judgment: Trigger a node verification task based on the device operating status, and determine whether to issue a coupling correction command based on the status of the node; Step S04: Perform fixed-value partitioning optimization on coupled state child nodes based on coupling correction instructions: Receive coupling correction instructions to locate coupled state child nodes, lock node region partitioning constraints, and perform fixed-value partitioning optimization; Step S05: Perform setpoint optimization decision to update the coordinated associated topology: Based on the partition optimization results of the coupled state sub-nodes, update the device setpoint information in the global relay protection coordinated associated topology and complete the adaptive verification coordinated control.

[0007] Preferably, in step S01, the specific content of constructing the relay protection coordination and association topology framework is as follows: Collect basic operation data of the entire power grid, including: power grid line impedance, short-circuit capacity, switch operating position, load conditions, original protection settings, and protection time limits of upper and lower levels; Each switchgear equipped with relay protection is considered a topology protection node. Each node is bound to the full operation and setting attributes of the device to construct an associated topology framework. The attributes include: device ID, device type, operating status, real-time load, current node protection setting, action time, and node coupling status flag.

[0008] Preferably, in step S02, the specific content of decoupling and partitioning the associated topology framework in step S01 is as follows: Based on the global relay protection coordination and association topology framework constructed in step S01, the device ID of the topology storage is used as the unique index to traverse all relay protection device nodes in the running and hot standby states one by one, and the traversed nodes are divided into independent state sub-nodes and coupled state sub-nodes. Conditions for determining coupled child nodes: If the coupling influence coefficient with any topological node is greater than or equal to a preset disturbance threshold, then the node is determined to be a coupled child node; Independent child node determination criteria: If the coupling influence coefficients of the node with other topology nodes are all less than the preset disturbance threshold, then the node is determined to be an independent child node; Coupled state sub-nodes that are coupled together are aggregated into the same tuning unit, while independent state sub-nodes are divided into separate independent tuning units, where each node corresponds to one independent tuning unit. Based on the coupling state between nodes, the child nodes that constitute the coupling state are connected one by one to generate a global relay protection coordinated association topology.

[0009] Preferably, in step S03, the specific content of triggering the verification task based on the device operating status and performing node correction judgment is as follows: a. Using the device's unique ID as an index, retrieve the real-time load data of each node within the global topology framework one by one. The load data is the primary load current. b. The system has built-in equipment rated operating load range threshold standards. The real-time load data of the nodes is compared with the standard range to classify the equipment operating conditions into three categories, including: normal operation status: the real-time load is within the rated operating load range and the equipment is stably put into operation; hot standby status: the real-time load is lower than the lower limit of the rated operating load and the equipment is normally powered on and ready to go; abnormal operation status: the real-time load exceeds the upper limit of the rated load and is judged as an abnormal operating condition node. c. When any topology node is identified as an abnormal operating condition node by load determination, the system locks the abnormal node and issues a verification task start command; d. After the verification task is started, the associated nodes are traversed one by one according to the topology link, and the correction and judgment work is carried out based on the coupling relationship: taking the abnormal node as the starting point of traversal, the connected nodes are traversed based on the associated topology structure generated in step S01. e. After node traversal is completed, a correction judgment is performed: within the same coupling tuning unit, all coupled child nodes that are coupled with the abnormal node are uniformly judged as nodes to be corrected and marked with a correction flag; independent child nodes that have not established a coupling relationship with the abnormal node in the entire domain are judged as nodes that do not need to be corrected. f. After completing the traversal and judgment of all nodes, summarize two types of results: a list of nodes to be corrected and a list of nodes that do not need to be corrected. Bind the correction requirements of each node based on the device ID and send them back to the global relay protection coordination and association topology framework. The association topology framework issues an execution coupling correction instruction based on the list of nodes to be corrected.

[0010] Preferably, in step S04, the specific content of performing local fixed-value optimization on the coupled state child nodes based on the coupling correction instruction is as follows: The system receives the coupling correction instruction issued in step S03 and divides all coupling nodes in the coupling unit into a disturbance core node area and a disturbance follower node area. The division is based on the fact that nodes directly connected to the source node are classified as core nodes, and nodes indirectly connected to the source node are classified as follower nodes. Nodes within the core disturbance area are uniformly replaced with preset low disturbance values, and nodes within the disturbance following area are uniformly replaced with preset constant values.

[0011] Preferably, in step S05, the specific content of performing the fixed-value optimization decision to coordinate the associated topology update is as follows: After completing the setting updates for the disturbance core region and disturbance following region within the coupled tuning unit, the system initiates a batch update of the topology database setting information. Using the device ID of the global topology framework as a unique index, all coupled state child nodes participating in this partition optimization are locked; independent child nodes are not optimized. The optimized low-disturbance setpoints and constant setpoints of each coupled node are batch written into the topology node attribute field, replacing the original setpoint information before optimization. Refresh the coupling association status flags between each coupled node, reset the coupling relationship of nodes whose disturbances have been eliminated and mark them as "coupling adaptation normal", maintain the original correction flags for nodes whose disturbances have not been eliminated, and output warning information to the system terminal, waiting for re-determination and processing in the next round of verification process; after completing the update of all set value information and the refresh of status flags, this set value adaptive verification coordination control process ends. After receiving the warning signal, the system terminal highlights the location of the node with continuous disturbance, the device type, and the current set value information through a visual interface, reminding maintenance personnel to conduct on-site manual verification.

[0012] The technical effects and advantages of this invention are as follows: This invention constructs a global relay protection coordinated topology framework to accurately identify coupled node groups with mutual disturbances and independent nodes without associated disturbances, and then specifically divides them into coupled setting units and independent setting units. This approach not only allows for focused optimization of disturbance coupling issues in coupled nodes but also avoids ineffective control of stable independent nodes, significantly improving the targeting and accuracy of relay protection setting verification. Based on real-time load data of equipment, the system determines the operating status and automatically initiates node verification and correction judgment tasks when equipment abnormalities or excessive coupling disturbances are triggered. It accurately locates the coupled nodes that need correction and abandons the traditional mode of relay protection setting optimization that relies on upper and lower level coordination constraints, massive iterative calculations, and complex formula solutions. It innovatively adopts a non-hierarchical partitioning optimization logic based on coupling relationships and completes local setting optimization through the control method of disturbance area division. It does not require complex numerical iterative calculations, which greatly reduces the computational cost of setting optimization and the difficulty of engineering implementation. Attached Figure Description

[0013] Figure 1 This is a flowchart illustrating a setpoint adaptive verification and coordinated control method for relay protection. Detailed Implementation

[0014] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. In addition, the forms of the various structures described in the following embodiments are merely illustrative. The setpoint adaptive verification and coordination control method for relay protection involved in the present invention is not limited to the structures described in the following embodiments. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0015] like Figure 1 As shown, this invention provides a setpoint adaptive verification and coordinated control method for relay protection, comprising the following steps: Step S01: Construct a relay protection coordination and association topology framework: Collect basic operation data of the entire power grid, set up topology protection nodes, and generate a global relay protection coordination and association topology framework that binds the basic operation data; Step S02: Decouple and partition the nodes of the associated topology framework in step S01: sequentially traverse the protection devices of each node in the coordinated associated topology framework, divide the nodes into independent state child nodes and coupled state child nodes, and generate the associated topology structure. When the abnormal verification is triggered in step S03, dynamically recalculate the coupling influence coefficient under abnormal working conditions to refresh the coupling relationship. Step S03: Trigger a verification task based on the device operating status and perform node correction judgment: Trigger a node verification task based on the device operating status, and determine whether to issue a coupling correction command based on the status of the node; Step S04: Perform fixed-value partitioning optimization on coupled state child nodes based on coupling correction instructions: Receive coupling correction instructions to locate coupled state child nodes, lock node region partitioning constraints, and perform fixed-value partitioning optimization; Step S05: Perform setpoint optimization decision to update the coordinated associated topology: Based on the partition optimization results of the coupled state sub-nodes, update the device setpoint information in the global relay protection coordinated associated topology and complete the adaptive verification coordinated control.

[0016] In this embodiment, it should be specifically explained that the specific content of constructing the relay protection coordination and association topology framework in step S01 is as follows: The system collects basic operational data across the entire power grid, including: power grid line impedance, short-circuit capacity, switch operating position, load conditions, existing protection settings, and protection time limits at upper and lower levels. This data is acquired through multi-source joint acquisition by the power grid automation system. Specific tools include: a SCADA data acquisition and monitoring system for real-time acquisition of switch opening and closing status, bus voltage, line power flow, load current, and equipment operation and change information; a relay protection information substation for acquiring the settings of each switch protection device; and a power grid PMS2.0 equipment ledger system for obtaining line impedance, line length, equipment model, transformer parameters, and fixed topology parameters of the power grid. Each switchgear equipped with relay protection is considered a topology protection node. Each node is bound to the full operation and setting attributes of the device to construct an associated topology framework. The attributes include: device ID, device type, operating status, real-time load, current node protection setting, action time, and node coupling status flag.

[0017] In this embodiment, it should be specifically explained that the specific content of the node decoupling and partitioning of the associated topology framework in step S01 in step S02 is as follows: Based on the global relay protection coordination and association topology framework constructed in step S01, the device ID of the topology storage is used as the unique index to traverse all relay protection device nodes in the running and hot standby states one by one, and the traversed nodes are divided into independent state sub-nodes and coupled state sub-nodes. Conditions for determining coupled child nodes: If the coupling influence coefficient with any topological node is greater than or equal to a preset disturbance threshold, then the node is determined to be a coupled child node; Independent sub-node determination criteria: If the coupling influence coefficients with other topology nodes are all less than a preset disturbance threshold, then the node is determined to be an independent sub-node. The coupling influence coefficients between all nodes under normal grid operation are collected, and the median of the distribution is taken as the preset disturbance threshold. Specifically, time-series data of all nodes under normal steady-state operation are collected. In this embodiment, the data refers to the node current values. The absolute value of the Pearson correlation coefficient is used as the coupling influence coefficient. The reason for using the absolute value is that regardless of whether the currents of two nodes are positively or negatively correlated, it indicates that there is an electrical coupling relationship between them, which needs to be considered together when setting relay protection values. The expression for the coupling influence coefficient is: ,in, This represents the coupling effect coefficient. This represents the current value at node i at time t. Let N represent the current value at node j at time t, and let N represent the number of sampling points. This represents the mean current at node i over the time series. This represents the average current of node j over time; it has a built-in dynamic update mechanism. When an anomaly check is triggered in step S03, the current sequence is re-acquired and the coupling coefficient is recalculated within 30 seconds after the anomaly. Coupled state sub-nodes that are coupled together are aggregated into the same tuning unit, while independent state sub-nodes are divided into separate independent tuning units, where each node corresponds to one independent tuning unit. Based on the coupling state between nodes, the child nodes that constitute the coupling state are connected one by one to generate a global relay protection coordinated association topology.

[0018] In this embodiment, it should be specifically explained that the specific content of triggering the verification task based on the device operating status and performing node correction judgment in step S03 is as follows: a. Using the device's unique ID as an index, retrieve the real-time load data of each node within the global topology framework one by one. The load data is the primary load current. b. The system has built-in equipment rated operating load range threshold standards. The real-time load data of the nodes is compared with the standard range to classify the equipment operating conditions into three categories, including: normal operation status: the real-time load is within the rated operating load range and the equipment is stably put into operation; hot standby status: the real-time load is lower than the lower limit of the rated operating load and the equipment is normally powered on and ready to go; abnormal operation status: the real-time load exceeds the upper limit of the rated load and is judged as an abnormal operating condition node. c. When any topology node is identified as an abnormal operating condition node by load determination, the system locks the abnormal node, issues a verification task start command, and simultaneously triggers the dynamic update process of coupling coefficient in step S02: Locate the abnormal node: Accurately locate the unit to which the abnormal node belongs by using the device ID index, and distinguish whether the node is an independent sub-node within an independent tuning unit or a coupled sub-node within a coupled tuning unit; The verification task startup logic is differentiated as follows: If the abnormal node is a coupled sub-node: the abnormal load disturbance of this node will be transmitted to all associated coupled nodes in the same tuning unit through the coupling link. The coupling influence coefficient between nodes is higher than the preset disturbance threshold. The disturbance has a wide range of transmission. The entire coupled unit must be verified. If the abnormal node is an independent sub-node: the coupling influence coefficient between this node and all other topology nodes is less than the disturbance threshold. Its own load fluctuation will not cause tuning interference to external nodes. Only the dedicated verification task for this single independent node is started. d. After the verification task is started, the associated nodes are traversed one by one according to the topology link, and the correction and judgment work is carried out based on the coupling relationship: taking the abnormal node as the starting point of traversal, the connected nodes are traversed based on the associated topology structure generated in step S01. e. After node traversal is completed, a correction judgment is made: within the same coupling tuning unit, all coupled child nodes that are coupled with the abnormal node are uniformly judged as nodes to be corrected and marked with a correction mark; independent child nodes that have not established a coupling connection with the abnormal node in the entire domain are judged as nodes that do not need to be corrected; special boundary handling: if multiple node load abnormalities occur at the same time during a single verification process, the system locks each abnormal base point, superimposes all coupling links, summarizes all disturbed coupled nodes, and uniformly includes them in the correction list; f. After completing the traversal and judgment of all nodes, summarize two types of results: a list of nodes to be corrected and a list of nodes that do not need to be corrected. Bind the correction requirements of each node based on the device ID and send them back to the global relay protection coordination and association topology framework. The association topology framework issues an execution coupling correction instruction based on the list of nodes to be corrected.

[0019] In this embodiment, it should be specifically explained that the specific content of the local fixed-value optimization of the coupled state child nodes based on the coupling correction instruction in step S04 is as follows: The system receives the coupling correction instruction issued in step S03 and divides all coupled nodes in the coupling unit into a disturbance core node area and a disturbance follower node area. The division is based on the following: nodes directly connected to the source node are classified as core nodes, and nodes indirectly connected to the source node are classified as follower nodes. The disturbance core node area = 1-hop neighbor node in the adjacency matrix (direct physical connection), and the disturbance follower node area = 2-hop or higher nodes in the adjacency matrix (indirect connection). The nodes within the disturbance following zone are uniformly replaced with preset constant values. These preset constant values ​​are the settings of each switch protection device. The settings are directly referenced from the recommended values ​​in national or industry standards when the relay protection equipment is installed. During normal operation, the settings will not change. Nodes within the core disturbance area are uniformly replaced with preset low-disturbance values, the expression for which is: ,in This indicates the preset low-disturbance setpoint for the output. This indicates a preset, constant value. This indicates the adjustment step size (generally 0.01~0.05), and in this embodiment, it is set to 0.03 (center). Indicates a low disturbance coefficient; The low disturbance factor is calculated by the voltage transformer integrated into the protection device. The voltage transformer collects the node voltage within the core disturbance area. When the voltage drop exceeds 5%, the disturbance calibration begins. The lowest effective voltage value measured within 30 seconds after the disturbance is obtained through the voltage transformer. The calculation formula is: ,in This represents the lowest effective voltage value measured during the disturbance period. Indicates the rated voltage; Power system disturbances typically progress through three stages from occurrence to resolution: Transient phase: 0–5 seconds; Quasi-steady-state phase: 5–30 s; Long-term recovery phase: greater than 30 seconds. At this time, the voltage has generally recovered to the allowable range. Therefore, 30 seconds is selected as the time limit after the disturbance.

[0020] In this embodiment, it should be specifically explained that the specific content of performing the fixed-value optimization decision to coordinate the associated topology update in step S05 is as follows: After completing the setting updates for the disturbance core region and disturbance following region within the coupled tuning unit, the system automatically initiates batch updates of the topology database setting information. Using the device ID of the global topology framework as a unique index, all coupled state child nodes participating in this partition optimization are locked; independent child nodes are not optimized. The optimized low-disturbance setpoints and constant setpoints of each coupled node are batch written into the topology node attribute field, replacing the original setpoint information before optimization. Refresh the coupling association status flags between each coupled node, reset the coupling relationship of nodes whose disturbances have been eliminated and mark them as "coupling adaptation normal", maintain the original correction flags for nodes whose disturbances have not been eliminated, and output warning information to the system terminal, waiting for re-determination and processing in the next round of verification process; after completing the update of all set value information and the refresh of status flags, this set value adaptive verification coordination control process ends. After receiving the warning signal, the system terminal highlights the location of the node with continuous disturbance, the device type, and the current set value information through a visual interface, reminding maintenance personnel to conduct on-site manual verification.

[0021] The main difference between this implementation and existing technologies lies in the fact that this embodiment constructs a global relay protection coordinated and correlated topology framework to accurately identify coupled node groups with mutual disturbances and independent nodes without associated disturbances, and to specifically divide coupled setting units and independent setting units. This allows for focused optimization of disturbance coupling problems of coupled nodes, while avoiding ineffective control of stable independent nodes, significantly improving the targeting and accuracy of relay protection setting verification. Based on real-time load data of equipment, the system determines the operating status and automatically initiates node verification and correction judgment tasks when equipment operating conditions are abnormal or coupling disturbances exceed the standard. It accurately locates the coupled related nodes that need correction and abandons the inherent mode of traditional relay protection setting optimization that relies on upper and lower level coordination constraints, massive iterative calculations, and complex formula solutions. Instead, it adopts a non-hierarchical partitioning optimization logic based on coupling relationships and completes local setting optimization through the control method of disturbance area division. It eliminates the need for complex numerical iterative calculations, greatly reducing the computational cost of setting optimization and the difficulty of engineering implementation.

[0022] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

[0023] 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.

Claims

1. A setpoint adaptive verification and coordinated control method for relay protection, characterized in that: Includes the following steps: Step S01: Construct a relay protection coordination and association topology framework: Collect basic operation data of the entire power grid, set up topology protection nodes, and generate a global relay protection coordination and association topology framework that binds the basic operation data; Step S02: Decouple and partition the nodes of the associated topology framework in step S01: sequentially traverse the protection devices of each node in the coordinated associated topology framework, divide the nodes into independent state child nodes and coupled state child nodes, and generate the associated topology structure. Step S03: Trigger a verification task based on the device operating status and perform node correction judgment: Trigger a node verification task based on the device operating status, and determine whether to issue a coupling correction command based on the status of the node; Step S04: Perform fixed-value partitioning optimization on coupled state child nodes based on coupling correction instructions: Receive coupling correction instructions to locate coupled state child nodes, lock node region partitioning constraints, and perform fixed-value partitioning optimization; Step S05: Perform setpoint optimization decision to update the coordinated associated topology: Based on the partition optimization results of the coupled state sub-nodes, update the device setpoint information in the global relay protection coordinated associated topology and complete the adaptive verification coordinated control.

2. The adaptive verification and coordinated control method for setpoints in relay protection according to claim 1, characterized in that: In step S01, the specific content of constructing the relay protection coordination and association topology framework is as follows: Collect basic operation data of the entire power grid, including: power grid line impedance, short-circuit capacity, switch operating position, load conditions, original protection settings, and protection time limits of upper and lower levels; Each switchgear equipped with relay protection is considered a topology protection node. Each node is bound to the full operation and setting attributes of the device to construct an associated topology framework. The attributes include: device ID, device type, operating status, real-time load, current node protection setting, action time, and node coupling status flag.

3. The adaptive verification and coordinated control method for setpoints in relay protection according to claim 1, characterized in that: In step S02, the specific details of decoupling and partitioning the nodes of the associated topology framework in step S01 are as follows: Based on the global relay protection coordination and association topology framework constructed in step S01, the device ID of the topology storage is used as the unique index to traverse all relay protection device nodes in the running and hot standby states one by one, and the traversed nodes are divided into independent state sub-nodes and coupled state sub-nodes. Conditions for determining coupled child nodes: If the coupling influence coefficient with any topological node is greater than or equal to a preset disturbance threshold, then the node is determined to be a coupled child node; Independent child node determination criteria: If the coupling influence coefficients of the node with other topology nodes are all less than the preset disturbance threshold, then the node is determined to be an independent child node; Coupled state sub-nodes that are coupled together are aggregated into the same tuning unit, while independent state sub-nodes are divided into separate independent tuning units, where each node corresponds to one independent tuning unit. Based on the coupling state between nodes, the child nodes that constitute the coupling state are connected one by one to generate a global relay protection coordinated association topology.

4. The adaptive verification and coordinated control method for setpoints in relay protection according to claim 1, characterized in that: In step S03, the specific content of triggering the verification task based on the device operating status and performing node correction judgment is as follows: a. Using the device's unique ID as an index, retrieve the real-time load data of each node within the global topology framework one by one. The load data is the primary load current. b. The system has built-in equipment rated operating load range threshold standards. The real-time load data of the nodes is compared with the standard range to classify the equipment operating conditions into three categories: normal operating condition: the real-time load is within the rated operating load range and the equipment is stably put into operation; hot standby condition: the real-time load is lower than the lower limit of the rated operating load and the equipment is normally powered on and ready to go; abnormal operating condition: the real-time load exceeds the upper limit of the rated load and is judged as an abnormal operating condition node. c. When any topology node is identified as an abnormal operating condition node by load determination, the system locks the abnormal node and issues a verification task start command; d. After the verification task is started, the associated nodes are traversed one by one according to the topology link, and the correction and judgment work is carried out based on the coupling relationship: taking the abnormal node as the starting point of traversal, the connected nodes are traversed based on the associated topology structure generated in step S01. e. After node traversal is completed, a correction judgment is performed: within the same coupling tuning unit, all coupled child nodes that are coupled with the abnormal node are uniformly judged as nodes to be corrected and marked with a correction flag; independent child nodes that have not established a coupling relationship with the abnormal node in the entire domain are judged as nodes that do not need to be corrected. f. After completing the traversal and judgment of all nodes, summarize two types of results: a list of nodes to be corrected and a list of nodes that do not need to be corrected. Bind the correction requirements of each node based on the device ID and send them back to the global relay protection coordination and association topology framework. The association topology framework issues an execution coupling correction instruction based on the list of nodes to be corrected.

5. The adaptive verification and coordinated control method for setpoints in relay protection according to claim 1, characterized in that: In step S04, the specific content of performing local constant value optimization on the coupled state child nodes based on the coupling correction instruction is as follows: The system receives the coupling correction instruction issued in step S03 and divides all coupling nodes in the coupling unit into a disturbance core node area and a disturbance follower node area. The division is based on the fact that nodes directly connected to the source node are classified as core nodes, and nodes indirectly connected to the source node are classified as follower nodes. Nodes within the core disturbance area are uniformly replaced with preset low disturbance values, and nodes within the disturbance following area are uniformly replaced with preset constant values.

6. The adaptive verification and coordinated control method for setpoints in relay protection according to claim 1, characterized in that: In step S05, the specific content of performing the fixed-value optimization decision to coordinate the associated topology update is as follows: After completing the setting updates for the disturbance core region and disturbance following region within the coupled tuning unit, the system initiates a batch update of the topology database setting information. Using the device ID of the global topology framework as a unique index, all coupled state child nodes participating in this partition optimization are locked; independent child nodes are not optimized. The optimized low-disturbance setpoints and constant setpoints of each coupled node are batch written into the topology node attribute field, replacing the original setpoint information before optimization. Refresh the coupling association status flags between each coupled node, reset the status of the coupling relationship of nodes whose disturbances have been eliminated and mark them as "coupling adaptation normal", maintain the original correction flags for nodes whose disturbances have not been eliminated, and output warning information to the system terminal, waiting for re-determination and processing in the next round of verification process; After all setting information updates and status flag refreshes are completed, this setting adaptive verification coordination control process ends. After receiving the warning signal, the system terminal highlights the location of the node with continuous disturbance, the device type, and the current set value information through a visual interface, reminding maintenance personnel to conduct on-site manual verification.

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