Substation fault control system and method based on remote monitoring

Abstract

This application relates to the field of power system automation technology, providing a substation fault control system and method based on remote monitoring. The method generates multiple candidate isolation strategies by acquiring power data of each line in the substation system, load importance classification data, circuit breaker operation rule base, system topology connections, and fault diagnosis results. For each candidate strategy, the correlation characteristics between the total load and importance distribution in the fault area, the impact of circuit breaker operation complexity on the thoroughness of isolation, and the impact range of power supply islanding in non-fault areas after execution are analyzed. Based on the multi-dimensional evaluation results, the isolation effect of each strategy is analyzed through a multi-objective decision model, the optimal strategy is selected, and a circuit breaker control command sequence is generated for execution. This application achieves multi-objective comprehensive optimization and rapid remote execution of fault isolation strategies, significantly improving the intelligence level and processing efficiency of substation fault control.

Description

Technical Field

[0001] This application relates to the field of power system automation technology, and in particular to a method and system for substation fault control based on remote monitoring. Background Technology

[0002] With the continuous expansion of power grid scale and the continuous improvement of intelligence level, fault isolation and control of substation equipment are facing new challenges. Traditional substation fault handling mainly relies on human experience judgment and manual operation, which has problems such as slow response speed, high operational risk, and strong subjectivity in decision-making.

[0003] Current substation fault isolation faces multiple technical challenges. On the one hand, generating fault isolation strategies requires consideration of multiple factors such as system topology, load characteristics, and operating rules, making the decision-making process complex. On the other hand, existing systems lack a comprehensive evaluation mechanism for isolation strategies, making it difficult to select the optimal solution from multiple candidate strategies. Digital twin technology, by constructing a virtual mapping of the power system, provides a new approach for fault analysis and decision optimization, but its application depth in the field of substation fault control still needs to be expanded.

[0004] Currently, substation fault control systems mostly focus on optimizing single indicators, and a systematic solution has not yet been developed to comprehensively consider the coordinated optimization of multiple objectives such as load loss, operational complexity, and power supply safety. This technological limitation restricts the improvement of fault handling efficiency, and there is an urgent need to develop innovative methods that deeply integrate multi-objective decision-making. Summary of the Invention

[0005] To overcome the problems of simplistic strategy evaluation, insufficient comprehensive decision-making ability, and inadequate consideration of power supply safety in existing substation fault control systems, this application provides a substation fault control method and system based on remote monitoring. By constructing a multi-dimensional evaluation index system, combining the system topology connection relationship and circuit breaker operation rules, multiple candidate isolation strategies are dynamically generated, and the optimal strategy is selected based on a multi-objective decision model, ultimately executing precise fault isolation operations.

[0006] To achieve the above objectives, the present invention adopts the following technical solution:

[0007] In a first aspect, this application provides a substation fault control method based on remote monitoring, comprising the following steps:

[0008] S1: Obtain power data and load importance classification data of each line in the substation system. At the same time, obtain the substation circuit breaker operation rule library, system topology connection relationship and real-time fault diagnosis results. Based on the real-time fault diagnosis results, determine the location and type of faulty equipment and generate multiple candidate isolation strategies.

[0009] S2: Based on the system topology connection relationship, power data of each line and load importance classification data, analyze the correlation characteristics between the total load and importance distribution in the fault area;

[0010] S3: Based on the connection between the circuit breaker operation rule base and the system topology, analyze the degree of impact of circuit breaker operation complexity on isolation thoroughness;

[0011] S4: Based on the system topology connection relationship and load importance classification data, analyze the impact range of power supply islands in non-faulty areas after the execution of each candidate isolation strategy;

[0012] S5: Based on the correlation characteristics between the total load and importance distribution of the fault area for each candidate isolation strategy, the degree of influence of circuit breaker operation complexity on the thoroughness of isolation, and the impact range of power supply islanding in the non-fault area after the execution of each candidate isolation strategy, analyze the isolation effect of each candidate isolation strategy.

[0013] S6: Select the candidate isolation strategy with the best isolation effect as the best isolation strategy and execute the circuit breaker control command sequence.

[0014] According to the above technical solution, the steps of acquiring power data and load importance classification data of each line in the substation system, simultaneously acquiring the substation system circuit breaker operation rule library, system topology connection relationship, and real-time fault diagnosis results; and determining the location and type of faulty equipment based on the real-time fault diagnosis results, and generating multiple candidate isolation strategies include:

[0015] By collecting power data of each line in the substation system, load importance classification data, circuit breaker operation rule library, system topology connection relationship and real-time fault diagnosis results, the location and type of faulty equipment are first determined, and then the boundary circuit breakers that can isolate the fault area are identified in the system topology connection relationship. Subsequently, these boundary circuit breakers are verified and logically validated according to the circuit breaker operation rule library, and finally all circuit breaker tripping combinations that meet the safe operation rules are generated, and each valid tripping combination is defined as a candidate isolation strategy.

[0016] According to the above technical solution, the step of analyzing the correlation characteristics between the total load and the importance distribution in the fault area based on the system topology connection relationship, power data of each line, and load importance classification data includes:

[0017] First, the load set to be cut off due to the current isolation strategy is determined based on the system topology connection relationship. Then, the total power of the cut-off load set is calculated based on the power data of each line to obtain the total load of the fault area. At the same time, the composition ratio of loads of different importance levels in the load set is analyzed based on the load importance classification data. Finally, by combining the total load of the fault area with the composition ratio of loads of different importance levels, the correlation characteristics between the total load of the fault area and the importance distribution in the current isolation strategy are quantified.

[0018] According to the above technical solution, the step of analyzing the impact of circuit breaker operation complexity on isolation thoroughness based on the circuit breaker operation rule base and system topology connection relationship includes:

[0019] Based on the circuit breaker operation rule base, the number of circuit breakers requiring operation is counted, the temporal dependencies between operation steps are analyzed, the necessary operation sequence is identified, and the operational logic complexity, including parallel operation paths and serial status confirmations, is evaluated. Based on the statistical and analytical results, combined with the predefined operation complexity benchmark value in the circuit breaker operation rule base, a weighted calculation is performed to obtain the circuit breaker operation complexity evaluation result for the current isolation strategy. A network simulation model is constructed based on the system topology connection relationship to simulate the execution of all circuit breaker tripping operations of the candidate isolation strategy. Graph theory connectivity analysis algorithms are used to verify whether the faulty equipment has been completely isolated. The system achieves full isolation while simultaneously analyzing the power supply connectivity of non-faulty areas. Based on the connectivity analysis results, and considering both the isolation degree of faulty equipment and the power supply recovery range of non-faulty areas, the system calculates the isolation thoroughness assessment result of the current isolation strategy. Regression analysis is performed between the circuit breaker operation complexity assessment result and the isolation thoroughness assessment result to establish a quantitative relationship model between operation complexity and isolation thoroughness. Based on this quantitative relationship model, the system analyzes the trend of changes in operation complexity on isolation thoroughness, calculates the degree of influence of circuit breaker operation complexity on isolation thoroughness under the current isolation strategy, and provides decision support for optimizing the operation plan.

[0020] According to the above technical solution, the step of analyzing the power supply islanding impact range of non-faulty areas after the execution of each candidate isolation strategy based on system topology connection relationship and load importance classification data includes:

[0021] A topology simulation model is constructed based on the system topology connections. Corresponding branches are removed according to the circuit breaker tripping scheme in the current isolation strategy. Network connectivity is recalculated using a graph traversal algorithm to generate a simulated system topology after the current isolation strategy is implemented. In this simulated topology, a connectivity component search is performed starting from the power source point, and a depth-first traversal algorithm is used to mark all reachable load nodes. Unmarked load nodes with electrical connections are identified as power supply islands, and the area of ​​each power supply island and the information of the load nodes it contains are recorded. Based on the load importance classification... Data collection is performed on the power data of load nodes within each power supply island to calculate the total load of each island. Special-level and first-level critical loads are identified within each island, and the proportion of critical load power in the total island load is calculated. Based on the total load and critical load proportion of each island, combined with the number of islands, their geographical distribution characteristics, and the ease of power restoration, a multi-factor risk assessment function is constructed. The risk assessment function is used to comprehensively calculate the impact range index of the power supply islands, accurately quantifying the impact range of power supply islands in non-faulty areas after the current isolation strategy is implemented, providing an important reference for ensuring the reliability of system power supply.

[0022] According to the above technical solution, the steps for analyzing the isolation effect of each candidate isolation strategy based on the correlation characteristics between the total load and importance distribution of the fault area, the influence of circuit breaker operation complexity on the thoroughness of isolation, and the impact range of power supply islanding in the non-fault area after the execution of each candidate isolation strategy include:

[0023] The first evaluation weight is assigned based on the correlation between the total load and importance distribution of the fault area and its impact on power supply reliability. The second evaluation weight is assigned based on the impact of the circuit breaker operation complexity on the degree of impact of isolation thoroughness on operational safety. The third evaluation weight is assigned based on the impact of the power supply islanding range of the non-fault area on system stability. Then, the above three evaluation indicators and their corresponding weights are input into a multi-objective decision model, and the isolation effect of the current isolation strategy is obtained through weighted aggregation.

[0024] According to the above technical solution, the step of selecting the candidate isolation strategy with the best isolation effect as the optimal isolation strategy and executing the circuit breaker control command sequence includes:

[0025] All candidate isolation strategies are ranked from best to worst according to their isolation effectiveness, establishing a strategy optimization sequence. The candidate isolation strategy with the highest ranking is selected as the optimal isolation strategy. Based on the optimal isolation strategy, a corresponding circuit breaker tripping operation instruction sequence is generated, specifying the circuit breaker device number to be operated, the tripping operation sequence, and the operation time interval, forming a standardized operation procedure. The circuit breaker control instruction sequence is sent to the corresponding circuit breaker actuator through a remote monitoring system to achieve accurate transmission and rapid response of instructions. The operation feedback of the circuit breaker actuator is monitored to verify the execution effect of the fault isolation operation, ensuring that the fault is completely isolated, effectively preventing the fault range from expanding, and improving the efficiency of system power restoration.

[0026] Secondly, this application provides a substation fault control system based on remote monitoring, used to implement the aforementioned substation fault control method based on remote monitoring, the system comprising:

[0027] The data acquisition and strategy generation module is used to acquire power data and load importance classification data of each line in the substation system, as well as the substation circuit breaker operation rule library, system topology connection relationship and real-time fault diagnosis results; and based on the real-time fault diagnosis results, it determines the location and type of faulty equipment, generates multiple candidate isolation strategies, and provides a decision basis for fault handling.

[0028] The load characteristic analysis module is used to analyze the correlation between the total load and the importance distribution in the fault area based on the system topology connection relationship, power data of each line and load importance classification data, and accurately assess the impact of load loss.

[0029] The operation complexity analysis module is used to analyze the impact of circuit breaker operation complexity on isolation thoroughness based on the circuit breaker operation rule base and system topology connection relationship, so as to ensure safe and reliable operation.

[0030] The power supply safety analysis module is used to analyze the impact range of power supply islands in non-faulty areas after the execution of each candidate isolation strategy based on the system topology connection relationship and load importance classification data, so as to ensure the power supply safety of the system.

[0031] The integrated decision-making module is used to analyze the isolation effect of each candidate isolation strategy based on the correlation characteristics between the total load and importance distribution of the fault area of ​​each candidate isolation strategy, the impact of circuit breaker operation complexity on the isolation thoroughness, and the power supply islanding impact range of the non-fault area after the execution of each candidate isolation strategy, so as to achieve multi-objective optimization decision-making.

[0032] The instruction execution module is used to select the candidate isolation strategy with the best isolation effect as the optimal isolation strategy and execute the circuit breaker control instruction sequence to ensure the effective implementation of the optimal solution.

[0033] Thirdly, this application provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; the processor executes the substation fault control method based on remote monitoring as described in the first aspect by calling the computer program stored in the memory.

[0034] Fourthly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the substation fault control method based on remote monitoring as described in the first aspect.

[0035] Compared with the prior art, this application has the following advantages and beneficial effects:

[0036] This application constructs a multi-dimensional evaluation index system to comprehensively evaluate and optimize fault isolation strategies by considering multiple factors such as load loss, operational complexity, and power supply safety. Based on the system topology connection relationship and circuit breaker operation rule library, candidate isolation strategies that comply with safety specifications are generated to ensure the safety and reliability of operation. A multi-objective decision model is used for comprehensive evaluation to minimize load loss and power supply impact while ensuring the effectiveness of fault isolation. The remote monitoring system enables the rapid issuance and execution of circuit breaker control commands, significantly improving the efficiency and accuracy of fault handling. The entire method forms a complete closed loop from data acquisition to decision execution, with strong systemicity, effectively improving the intelligence level and comprehensive processing effect of substation fault control. Attached Figure Description

[0037] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0038] Figure 1 This is a schematic diagram of the overall process of the substation fault control method based on remote monitoring provided in the embodiments of this application;

[0039] Figure 2 This is a structural schematic diagram of the detailed process for generating candidate isolation strategies provided in the embodiments of this application;

[0040] Figure 3 This is a structural schematic diagram of the detailed load characteristic analysis process provided in the embodiments of this application;

[0041] Figure 4 This is a schematic diagram of load power weighted calculation provided in an embodiment of this application;

[0042] Figure 5 This is a schematic diagram of the operational complexity analysis process provided in the embodiments of this application;

[0043] Figure 6This is a schematic diagram of the power supply safety analysis process provided in the embodiments of this application;

[0044] Figure 7 This is a schematic diagram of the structure of a substation fault control system based on remote monitoring provided in an embodiment of this application. Detailed Implementation

[0045] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations thereof. In the absence of conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.

[0046] Please see Figure 1 , Figure 1 This is a schematic diagram of the overall process of the substation fault control method based on remote monitoring provided in the embodiments of this application, which specifically includes the following steps:

[0047] S1: Acquire power data and load importance classification data of each line in the substation system, and at the same time acquire the substation circuit breaker operation rule library, system topology connection relationship and real-time fault diagnosis results; and determine the location and fault type of the faulty equipment based on the real-time fault diagnosis results, and generate multiple candidate isolation strategies;

[0048] In this embodiment, step S1 includes the following specific contents, and the process can be found in the attached document. Figure 2 , Figure 2 This is a structural schematic diagram of the detailed process for generating candidate isolation strategies provided in this application embodiment:

[0049] S110: The power data of each line in the substation system, the load importance classification data, the circuit breaker operation rule base and the system topology connection relationship are acquired through the data acquisition system, and the real-time fault diagnosis results from the fault diagnosis system are received; wherein, the line power data is acquired in real time through power sensors. For example, in this embodiment, the load importance classification data is classified into special level, first level, second level and third level, and the fault diagnosis results are obtained based on the comprehensive analysis of the protection device action information and equipment status monitoring data;

[0050] S120: Based on the real-time fault diagnosis results, determine the location and type of the faulty equipment. In the system topology connection relationship, with the faulty equipment as the center, use the breadth-first search algorithm to identify all boundary circuit breakers that can isolate the fault area.

[0051] S130: Based on the circuit breaker operation rule base, the identified boundary circuit breakers are checked for status and operation logic, and inoperable circuit breakers are excluded to form an operable boundary circuit breaker set. A combination optimization algorithm is used to generate all circuit breaker tripping combinations that meet the safety operation rules, and each valid tripping combination is defined as a candidate isolation strategy.

[0052] S2: Based on the system topology connection relationship, power data of each line and load importance classification data, analyze the correlation characteristics between the total load and importance distribution in the fault area;

[0053] In this embodiment, step S2 includes the following specific details, which can be found in the flowchart below. Figure 3 , Figure 3 This is a schematic diagram of the detailed load characteristic analysis process provided in the embodiments of this application:

[0054] S210: Based on the system topology connection relationship, perform topology connectivity analysis to determine the set of load nodes that are cut off due to the execution of the current isolation strategy; by analyzing the impact of circuit breaker tripping operations on the power grid topology, establish a topology connectivity model to accurately identify the outage range;

[0055] S220: Based on the power data of each line, the power accumulation algorithm is used to calculate the sum of the power of all load nodes in the load set, and the total load of the fault area is calculated accurately.

[0056] To visually demonstrate the core adjustment role of the weighting coefficients in the power accumulation algorithm, please refer to [link / reference]. Figure 4 , Figure 4 This is a schematic diagram of load power weighting calculation provided in the embodiment of this application. The diagram clearly presents the correspondence between the original power, weighted power and weighting coefficient of each line through a combination of bar chart and line chart.

[0057] Depend on Figure 4 It is evident that the weighting coefficient has a clear regulatory effect on the load power assessment value: the power assessment value of a line with a higher weighting coefficient can be enhanced; the power assessment value of a line with a lower weighting coefficient is correspondingly weakened. This weighting mechanism based on importance classification ensures that the load characteristic analysis can reasonably reflect the relative importance differences of different load units in the system.

[0058] Based on the above weighted adjustment mechanism, the complete mathematical expression of the power accumulation algorithm is as follows:

[0059] ;

[0060] In the formula, This represents the total load in the normalized fault region; This represents the real-time power measurement value of the i-th load node; This represents the weighting coefficient of the i-th load node, determined based on the load type and importance. This represents the system's baseline capacity, used for per-unit calculations of power values;

[0061] S230: Based on load importance classification data, analyze the quantity and power distribution of loads of different importance levels in the load set, and calculate the composition ratio of loads of each importance level; S240: Combining the total load of the fault area with the composition ratio of loads of different importance levels, use a multi-index comprehensive evaluation method to quantify the correlation characteristics between the total load of the fault area and the importance distribution in the current isolation strategy; the comprehensive evaluation formula is:

[0062] ;

[0063] In the formula, This represents a comprehensive index of load characteristics; This represents the total load in the normalized fault region; The weight coefficient representing the j-th importance level is determined using the analytic hierarchy process (AHP). This indicates the proportion of the j-th importance level load in the total load;

[0064] S3: Based on the connection between the circuit breaker operation rule base and the system topology, analyze the degree of impact of circuit breaker operation complexity on isolation thoroughness;

[0065] In this embodiment, step S3 includes the following specific details, which can be found in the flowchart below. Figure 5 , Figure 5 This is a schematic diagram of the operational complexity analysis process provided in the embodiments of this application:

[0066] S310: Based on the circuit breaker operation rule base, count the number of circuit breakers requiring operation, analyze the temporal dependencies between operation steps, identify the necessary operation sequence, and assess the complexity of the operation logic by analyzing whether there are parallel operation groups and serial operation steps requiring status confirmation in the operation sequence; based on the statistical and analytical results, combined with the predefined operation complexity benchmark value in the circuit breaker operation rule base, obtain the circuit breaker operation complexity assessment result of the current isolation strategy through weighted calculation to ensure that the assessment result accurately reflects the actual operation difficulty; the complexity assessment formula is:

[0067] ;

[0068] In the formula, This indicates the results of the circuit breaker operation complexity assessment; Indicates the number of circuit breakers that need to be operated; This indicates the maximum number of operable circuit breakers in the system. Represents the logical complexity of the operation sequence; This represents the baseline value for maximum logical complexity. Indicates the degree of dependency between operational steps; This represents the baseline value for the maximum degree of dependence; These represent the weight coefficients of each factor;

[0069] S320: A network simulation model is constructed based on the system topology to simulate the tripping operations of all circuit breakers executing the current isolation strategy; a graph theory connectivity analysis algorithm is used to verify whether the faulty equipment is completely isolated, while the power supply connectivity of the non-faulty area is analyzed, and the proportion of equipment maintaining normal power supply is statistically analyzed; based on the connectivity analysis results, considering both the isolation degree of the faulty equipment and the power supply recovery range of the non-faulty area, the isolation thoroughness assessment result of the current isolation strategy is calculated; the isolation thoroughness assessment formula is:

[0070] ;

[0071] In the formula, This indicates the results of the assessment of the thoroughness of the isolation. Indicates the number of faulty devices that have been completely isolated; Indicates the total number of faulty devices; This indicates the number of non-faulty devices that maintain normal power supply; Indicates the total number of devices; These represent the weighting coefficients for isolation effect and power supply retention effect, respectively.

[0072] S330: Regression analysis is performed on the circuit breaker operation complexity assessment results and the isolation thoroughness assessment results to establish a quantitative relationship model between operation complexity and isolation thoroughness. Based on the quantitative relationship model, the impact trend of operation complexity changes on isolation thoroughness is analyzed, and the degree of impact of the current isolation strategy on the circuit breaker operation complexity on isolation thoroughness is calculated, providing an important basis for selecting the optimal isolation strategy. The formula for evaluating the degree of impact is:

[0073] ;

[0074] In the formula, This indicates the degree to which the complexity of circuit breaker operation affects the thoroughness of isolation. This indicates the results of the assessment of the thoroughness of the isolation. This represents the result of the circuit breaker operation complexity assessment; ε is a minimal constant to prevent the denominator from being zero.

[0075] S4: Based on the system topology connection relationship and load importance classification data, analyze the impact range of power supply islands in non-faulty areas after the execution of each candidate isolation strategy;

[0076] In this embodiment, step S4 includes the following specific details, which can be found in the flowchart below. Figure 6 , Figure 6 This is a schematic diagram of the power supply safety analysis process provided in the embodiments of this application:

[0077] S410: Based on the system topology connection relationship, a topology simulation model is constructed. According to the circuit breaker tripping scheme in the current isolation strategy, the corresponding connection branch is removed from the adjacency matrix. The network connectivity is recalculated through matrix operations to generate a simulated system topology structure after the current isolation strategy is executed, which accurately reflects the actual impact of circuit breaker operation on the power grid topology.

[0078] S420: In the simulated system topology after the current isolation strategy is executed, the Tarjan algorithm is used to detect strongly connected components starting from the power node, marking all load nodes that are connected to the power supply, identifying the remaining independent connected components as power supply islands, and fully recording the geographical distribution and load composition of each power supply island.

[0079] S430: Based on the load importance classification data, statistically analyze the real-time power data of all load nodes in each power supply island, calculate the total load of each power supply island; at the same time, identify the special-grade and first-grade important loads in each power supply island, and calculate the proportion of important load power in the total load of the island;

[0080] S440: Based on the total load and proportion of critical loads of each power supply island, combined with the number, geographical distribution, and load recovery difficulty of the power supply islands, a multi-dimensional risk assessment function is constructed to analyze the impact range of power supply islands in non-faulty areas after the current isolation strategy is implemented; the risk assessment formula is:

[0081] ;

[0082] In the formula, This indicates the assessment results of the impact range of the power supply island; This represents the total load of the k-th power supply island; Indicates the system's baseline capacity; This represents the proportion of critical loads in the k-th power supply island; This represents the size coefficient of the k-th power supply island; This represents the baseline value for the maximum island size; These represent the weighting coefficients for load volume and importance, respectively; m represents the total number of power supply islands.

[0083] S5: Based on the correlation characteristics between the total load and importance distribution of the fault area for each candidate isolation strategy, the degree of influence of circuit breaker operation complexity on the thoroughness of isolation, and the impact range of power supply islanding in the non-fault area after the execution of each candidate isolation strategy, analyze the isolation effect of each candidate isolation strategy.

[0084] In this embodiment, step S5 includes the following specific contents:

[0085] S510: Integrating load characteristic indicators Indicators of the impact of circuit breaker operation complexity Power supply island impact range indicators Normalization is performed to unify the scale and ensure comparability in subsequent weighted aggregation; the normalization formula is:

[0086] ;

[0087] In the formula, X represents the normalized evaluation index; X represents the original evaluation index. or ; Indicators among all candidate isolation strategies or The minimum value; Indicators among all candidate isolation strategies or The maximum value;

[0088] S520: Based on the normalized evaluation indicators, a multi-objective decision-making model is used for weighted aggregation to calculate the comprehensive evaluation value of the isolation effect of each candidate isolation strategy; the weighted aggregation formula is:

[0089] ;

[0090] In the formula, This represents the overall evaluation value of the isolation effect; This represents the normalized comprehensive index of load characteristics. R represents the normalized operational complexity impact index; R represents the normalized power supply islanding impact index. These represent the weighting coefficients of each indicator;

[0091] S6: Select the candidate isolation strategy with the best isolation effect as the best isolation strategy and execute the circuit breaker control command sequence;

[0092] In this embodiment, step S6 includes the following specific contents:

[0093] S610: Use the quicksort algorithm to sort all candidate isolation strategies from best to worst according to the comprehensive evaluation value of isolation effect, and generate the strategy optimization sequence;

[0094] S620: Select the highest-ranked candidate isolation strategy from the ranking results as the best isolation strategy;

[0095] S630: Generate a corresponding circuit breaker tripping operation instruction sequence according to the optimal isolation strategy, and specify key parameters such as the circuit breaker equipment identification to be operated, the tripping operation sequence, and the operation time interval; for example, in this embodiment, the operation instruction sequence includes an operation check code and timing control parameters, wherein the operation sequence is arranged according to the electrical operation safety regulations, and the operation time interval is set with a reasonable delay according to the characteristics of the circuit breaker mechanism.

[0096] S640: The circuit breaker control command sequence is sent to the corresponding circuit breaker actuator through the remote control system, the command execution process is monitored in real time, and the operation execution effect is verified. For example, in this embodiment, the circuit breaker status signal is collected in real time during the monitoring process. By comparing the time sequence of command sending and status feedback, it is confirmed that the fault area has been completely isolated, ensuring that the fault is quickly and reliably isolated.

[0097] Please see Figure 7 , Figure 7 This is a schematic diagram of the substation fault control system based on remote monitoring provided in the embodiments of this application, which specifically shows the logical composition and data interaction relationship of the six core functional modules of the system;

[0098] In this embodiment, the substation fault control system based on remote monitoring includes the following core modules:

[0099] The data acquisition and strategy generation module, as the system input, is responsible for acquiring power data and load importance classification data of each line in the substation system. It also acquires the substation circuit breaker operation rule library, system topology connection relationship and real-time fault diagnosis results. Based on the real-time fault diagnosis results, it determines the location and type of faulty equipment and generates multiple candidate isolation strategies to provide a decision basis for fault handling.

[0100] The load characteristic analysis module receives candidate strategies and analyzes the correlation characteristics between the total load and the importance distribution in the fault area based on the system topology connection relationship, power data of each line and load importance classification data.

[0101] The operation complexity analysis module analyzes the impact of circuit breaker operation complexity on isolation thoroughness based on the circuit breaker operation rule base and the system topology connection relationship.

[0102] The power supply safety analysis module analyzes the impact range of power supply islands in non-faulty areas after the execution of each strategy, based on the system topology connection relationship and load importance classification data.

[0103] The comprehensive decision-making module, as the decision-making center of the system, is based on the quantitative evaluation indicators output by the aforementioned three modules. It performs weighted aggregation through a multi-objective decision-making model to comprehensively analyze the overall isolation effect of each candidate isolation strategy.

[0104] The instruction execution module, as the system output, is responsible for selecting the candidate strategy with the best isolation effect as the best isolation strategy, and generating and issuing the corresponding circuit breaker control instruction sequence.

[0105] Each module is connected sequentially through a standard data interface and works collaboratively to achieve full automation of the substation fault process, from intelligent decision-making to precise control.

[0106] Embodiments of the present invention also provide an electronic device, including a memory, a processor, and a communication bus; the memory and the processor are connected via the communication bus. The memory stores a substation fault control method based on remote monitoring, which can be loaded by the processor and executed as provided in the above embodiments.

[0107] The memory can be used to store instructions, programs, code, code sets, or instruction sets. The memory may include a program storage area and a data storage area. The program storage area may store instructions for implementing an operating system, instructions for at least one function, and instructions for implementing the remote monitoring-based substation fault control method provided in the above embodiments, etc. The data storage area may store data involved in the remote monitoring-based substation fault control method provided in the above embodiments, etc.

[0108] The processor may include one or more processing cores. The processor executes instructions, programs, code sets, or instruction sets stored in memory, and calls data stored in memory to perform various functions and process data as described in this application. The processor may be at least one of the following: Application-Specific Integrated Circuit (ASIC), Digital Signal Processor (DSP), Digital Signal Processing Device (DSPD), Programmable Logic Device (PLD), Field Programmable Gate Array (FPGA), Central Processing Unit (CPU), controller, microcontroller, and microprocessor. It is understood that, for different devices, the electronic devices used to implement the above-described processor functions may also be other types, and the embodiments of this application do not specifically limit this.

[0109] A communication bus can include a pathway for transmitting information between the aforementioned components. The communication bus can be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Communication buses can be categorized as address buses, data buses, control buses, etc.

[0110] This application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and executed as described in the above embodiments for a substation fault control method based on remote monitoring.

[0111] In this embodiment, a computer-readable storage medium can be a tangible device that holds and stores instructions used by an instruction execution device. A computer-readable storage medium can be, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination thereof. Specifically, a computer-readable storage medium can be a portable computer disk, a hard disk, a USB flash drive, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), spoofing random access memory (SRAM), portable compact disc read-only memory (CD-ROM), digital multifunction disc (DVD), memory stick, floppy disk, optical disk, magnetic disk, mechanical encoding device, or any combination thereof.

[0112] The terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0113] The above description is merely a preferred embodiment of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of this application is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the foregoing application concept. For example, technical solutions formed by substituting the above-described features with (but not limited to) technical features with similar functions claimed in this application.

Claims

1. A substation fault control method based on remote monitoring, characterized by, Includes the following steps: S1: Acquire power data and load importance classification data of each line in the substation system, and at the same time acquire the substation circuit breaker operation rule library, system topology connection relationship and real-time fault diagnosis results; and determine the location and fault type of faulty equipment based on the real-time fault diagnosis results, and generate multiple candidate isolation strategies; S2: Based on the system topology connection relationship, power data of each line and load importance classification data, analyze the correlation characteristics between the total load and importance distribution in the fault area; S3: Based on the connection between the circuit breaker operation rule base and the system topology, analyze the degree of impact of circuit breaker operation complexity on isolation thoroughness; S4: Based on the system topology connection relationship and load importance classification data, analyze the impact range of power supply islands in non-faulty areas after the execution of each candidate isolation strategy; S5: Based on the correlation characteristics between the total load and importance distribution of the fault area for each candidate isolation strategy, the degree of influence of circuit breaker operation complexity on the thoroughness of isolation, and the impact range of power supply islanding in non-fault areas after the execution of each candidate isolation strategy, analyze the isolation effect of each candidate isolation strategy. S6: Select the candidate isolation strategy with the best isolation effect as the best isolation strategy and execute the circuit breaker control command sequence.

2. The power transformation fault control method based on remote monitoring according to claim 1, characterized in that, The process involves determining the location and type of the faulty equipment based on real-time fault diagnosis results, and generating multiple candidate isolation strategies, including: S120: Determine the location and type of faulty equipment based on real-time fault diagnosis results, and identify all boundary circuit breakers capable of isolating the faulty area from the power grid in the system topology connection relationship; S130: Verify and logically validate the identified boundary circuit breakers according to the circuit breaker operation rule library, generate all circuit breaker tripping combinations that comply with the safety operation rules, and define each valid tripping combination as a candidate isolation strategy.

3. The substation fault control method based on remote monitoring according to claim 2, characterized in that, The analysis of the correlation between the total load and the importance distribution in the fault area, based on the system topology connections, power data of each line, and load importance classification data, includes: S210: Determine the set of loads to be removed due to the execution of the current candidate isolation strategy based on the system topology connection relationship; S220: Based on the power data of each line, calculate the total power of the load set to obtain the total load of the fault area in the current isolation strategy; S230: Based on the load importance classification data, analyze the composition ratio of loads of different importance levels in the load set of the current isolation strategy; S240: By combining the total load of the fault area with the composition ratio of loads of different importance levels, the correlation characteristics between the total load of the fault area and the importance distribution in the current isolation strategy are quantified.

4. The remote monitoring based substation fault control method according to claim 3, characterized in that, The analysis of the impact of circuit breaker operation complexity on isolation thoroughness, based on the connection between the circuit breaker operation rule base and the system topology, includes: S310: Based on the circuit breaker operation rule base, count the number of circuit breakers that need to be operated, analyze the temporal dependencies between operation steps in the current isolation strategy, identify the operation sequence that must be followed, and evaluate the complexity of the operation logic; based on the statistical and analysis results, combined with the predefined operation complexity benchmark value in the circuit breaker operation rule base, obtain the circuit breaker operation complexity evaluation result of the current isolation strategy through weighted calculation. S320: Construct a network simulation model based on the system topology connection relationship, simulate the execution of all circuit breaker tripping operations in the current isolation strategy; use graph theory connectivity analysis algorithm to verify whether the faulty equipment is completely isolated, and analyze the power supply connectivity of the non-faulty area; calculate the isolation thoroughness evaluation result of the current isolation strategy based on the connectivity analysis results; S330: Perform regression analysis on the circuit breaker operation complexity assessment results and the isolation thoroughness assessment results of the current isolation strategy to establish a quantitative relationship model between operation complexity and isolation thoroughness; calculate the degree of influence of the circuit breaker operation complexity on the isolation thoroughness of the current isolation strategy based on the quantitative relationship model.

5. The remote monitoring based substation fault control method according to claim 4, characterized in that, The analysis, based on system topology connections and load importance classification data, examines the impact range of power supply islanding in non-faulty areas after the implementation of each candidate isolation strategy, including: S410: Construct a topology simulation model based on the system topology connection relationship, remove the corresponding branch according to the circuit breaker tripping scheme in the current isolation strategy; recalculate the network connectivity using a graph traversal algorithm to generate a system topology structure simulating the execution of the current isolation strategy; S420: In the system topology after the simulation of the current isolation strategy is executed, perform a connectivity component search starting from the power supply point and mark all reachable load nodes; identify the set of unmarked load nodes as power supply islands and record the area range of all power supply islands; S430: Based on the load importance classification data, statistically analyze the power data of load nodes in each power supply island, calculate the total load of each power supply island; identify the important loads in each power supply island, and calculate the proportion of important loads in the total load; S440: Based on the total load and proportion of important loads of each power supply island, and combined with the number and distribution characteristics of the power supply islands, a risk assessment function is constructed; the power supply island impact range index is calculated through the risk assessment function to quantify the power supply island impact range of non-faulty areas after the current isolation strategy is implemented.

6. The remote monitoring based substation fault control method according to claim 5, characterized in that, The analysis of the isolation effect of each candidate isolation strategy is based on the correlation characteristics between the total load and importance distribution of the fault area, the impact of circuit breaker operation complexity on the thoroughness of isolation, and the impact range of power supply islanding in non-fault areas after the implementation of each candidate isolation strategy. S510: Assign weights to the correlation characteristics between the total load of the fault area and the importance distribution in the current isolation strategy, the influence of the circuit breaker operation complexity on the thoroughness of isolation and the influence of the power supply islanding range of the non-fault area after the implementation of the current isolation strategy on the system stability, input them into the multi-objective decision model, and obtain the isolation effect of the current isolation strategy through weighted aggregation.

7. The remote monitoring based substation fault control method according to claim 6, characterized in that, The step of selecting the candidate isolation strategy with the best isolation effect as the optimal isolation strategy and executing the circuit breaker control command sequence includes: S610: Sort all candidate isolation strategies from best to worst according to their isolation effects; S620: Select the candidate isolation strategy with the highest ranking as the best isolation strategy; S630: Generate a corresponding circuit breaker tripping operation instruction sequence according to the optimal isolation strategy. The circuit breaker control instruction sequence includes the circuit breaker number to be operated, the tripping operation sequence, and the operation time interval. S640: The circuit breaker control command sequence is sent to the corresponding circuit breaker actuator to complete the fault isolation operation.

8. A remote monitoring-based substation fault control system for implementing the remote monitoring-based substation fault control method according to any one of claims 1 to 7, characterized by, The system includes: The data acquisition and strategy generation module is used to acquire power data and load importance classification data of each line in the substation system, as well as the substation circuit breaker operation rule library, system topology connection relationship and real-time fault diagnosis results; and based on the real-time fault diagnosis results, it determines the location and type of faulty equipment and generates multiple candidate isolation strategies. The load characteristic analysis module is used to analyze the correlation between the total load and the importance distribution in the fault area based on the system topology connection relationship, power data of each line and load importance classification data. The operation complexity analysis module is used to analyze the impact of circuit breaker operation complexity on isolation thoroughness based on the circuit breaker operation rule base and system topology connection relationship. The power supply safety analysis module is used to analyze the impact range of power supply islands in non-faulty areas after the execution of each candidate isolation strategy, based on the system topology connection relationship and load importance classification data. The integrated decision-making module is used to analyze the isolation effect of each candidate isolation strategy based on the correlation characteristics between the total load and importance distribution of the fault area, the impact of circuit breaker operation complexity on the thoroughness of isolation, and the impact range of power supply islands in non-fault areas after the execution of each candidate isolation strategy. The instruction execution module is used to select the candidate isolation strategy with the best isolation effect as the best isolation strategy and execute the circuit breaker control instruction sequence.

9. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes the substation fault control method based on remote monitoring as described in any one of claims 1-7 by calling the computer program stored in the memory.

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