A method and system for intelligently generating dispatching operation tickets based on power grid maintenance data

Abstract

The present invention discloses a method and system for intelligently generating dispatching operation tickets based on power grid maintenance data, which relates to the technical field of operation ticket generation and includes: obtaining maintenance ticket data from an external system, parsing its text content, and identifying the involved substations, equipment objects, and operation task descriptions; extracting key information through natural language processing and standardizing the extracted substation and equipment names; through the matching of equipment in the dispatching cloud, associating the standardized names with the unique codes in the equipment ledger to ensure data consistency, obtaining the basic operation list corresponding to the operation task description, sorting out all necessary operation steps in the basic operation list, and being able to flexibly adjust the operation sequence according to the real-time state of the power grid, equipment characteristics, and maintenance task requirements by fully considering the characteristic that some operation sequences can be reversed in the actual maintenance scenario, so as to generate an operation ticket that better meets the actual requirements.

Description

Technical Field

[0001] The present invention relates to the technical field of operation ticket generation, and more specifically, to a method and system for intelligently generating dispatching operation tickets based on power grid maintenance data. Background Art

[0002] In the power grid maintenance work process, the operation ticket is a key document to ensure the safe and orderly execution of maintenance operations, and the accuracy of its generation is crucial. At present, the generation methods of operation tickets mainly include manual compilation and partial intelligent generation based on fixed rules.

[0003] When manually compiling operation tickets, maintenance personnel need to rely on personal experience and memory of operating procedures to determine the operation sequence. However, due to the complexity of the power grid system and the diversity of maintenance tasks, manual operations are inevitably prone to mistakes such as reversed operation sequences, which may lead to serious safety accidents, such as equipment damage, expanded power outage scope, etc.;

[0004] Some systems for intelligent generation of operation tickets can generate operation tickets according to preset fixed rules, but they fail to fully consider the characteristic that some operation sequences can be reversed in actual maintenance scenarios. These systems mechanically follow the established templates, resulting in the generated operation tickets lacking flexibility and being unable to meet the complex and changeable power grid maintenance requirements. For example, in some scenarios involving collaborative maintenance of multiple devices, since the system cannot adjust the operation sequence according to the actual situation, it may generate non-optimal operation tickets, thereby increasing the maintenance time and cost, and even potentially bringing safety risks due to unreasonable operation sequences. Summary of the Invention

[0005] To solve the above problems, the present invention provides a method for intelligently generating dispatching operation tickets based on power grid maintenance data.

[0006] The present invention provides a method for intelligently generating dispatching operation tickets based on power grid maintenance data, including:

[0007] S1: Obtain maintenance ticket data from an external system, parse its text content, and identify the involved substations, equipment objects, and operation task descriptions;

[0008] Extract key information through natural language processing, and standardize the extracted substation and equipment names;

[0009] Through the matching of control cloud devices, associate the standardized names with the unique codes in the equipment ledger to ensure data consistency, obtain the basic operation list corresponding to the operation task description, and sort out all necessary operation steps in the basic operation list;

[0010] S2: Obtain the power grid topology structure data from the power grid geographic information system and the dispatching automation system. Based on the power grid topology structure data and the preset operation rules, analyze to obtain the power connection relationships and safety constraint conditions between each operation step, and divide the operation steps into irreversible operation steps and reversible operation steps. Among them, the irreversible operation steps must be executed in a fixed order, and the order of the reversible operation steps can be flexibly adjusted under preset conditions;

[0011] S3: Real-time collect the real-time status of the equipment and the health status of the target equipment, and standardize the collected substation and equipment names to ensure consistency with the equipment account data;

[0012] Associate the substation / equipment names extracted from the maintenance ticket with the standard names in the account to solve the problem of aliases or abbreviations;

[0013] S4: Based on the operation data of the power grid and the health status data of the target equipment, combine the irreversible operation steps and the reversible operation steps to generate multiple feasible operation sequence schemes that meet the preset rules;

[0014] S5: Select the scheme that meets the expectation from multiple feasible operation sequence schemes and output it as the corresponding dispatching instruction.

[0015] Preferably, the determination conditions of the irreversible operation steps in S2 at least include:

[0016] Operations that cause irreparable changes in the power grid topology structure after operation, physical isolation operations involving safety measure arrangements, or switching operations that affect the relay protection setting area.

[0017] Preferably, the reversible operation steps in S2 also include optimal dispatching, including but not limited to the following:

[0018] Generate the shortest path sequence based on the spatial location distribution of the operating equipment, dynamically adjust the operation time sequence according to the load transfer requirements, or perform rotation sorting considering the balance of the equipment operation times.

[0019] Preferably, S2 further includes the following steps:

[0020] Adopt the production rule representation method to represent each operation sequence rule in the form of "IF <condition> THEN <operation sequence>" and store it in the constructed rule library;

[0021] Assign preset attributes to each operation rule, and the preset attributes include but are not limited to priority and confidence level.

[0022] Preferably, the S4 step includes:

[0023] S41. Based on the collected power grid operation data and equipment health status data, compare the preset rules with the real-time collected data, judge whether each operation is executable, and filter out a list of executable operation steps;

[0024] S42. Generate an operation sequence dependency graph with constraint conditions according to the fixed order of irreversible operation steps and the topological constraints of reversible operation steps;

[0025] S43. Based on the list of executable operation steps and the operation sequence dependency graph with constraint conditions, generate an initial candidate solution through a specified algorithm, and the specified algorithm includes but is not limited to topological sorting algorithm and backtracking algorithm;

[0026] S44. Screen the initial candidate solution according to the preset rules to obtain a set of feasible operation sequence solutions.

[0027] Preferably, the S5 step further includes evaluating and selecting the operation sequence, specifically:

[0028] S411. During the process of generating multiple feasible operation sequence solutions, calculate the objective evaluation values of different operation sequences through a multi-objective optimization algorithm;

[0029] S422. Select the operation sequence solution with the optimal objective evaluation value as the final operation sequence solution to generate an operation ticket.

[0030] Preferably, in the S1, receive the maintenance ticket data and obtain the basic operation list corresponding to the task, and the list at least includes the following contents:

[0031] The unique code of the equipment, and the equipment code contains GIS geographic coordinate information;

[0032] The operation type identifier, specifically including but not limited to opening, closing, and inspection;

[0033] The preset safety interval time.

[0034] Preferably, the S5 step further includes:

[0035] Conduct a safety check on each solution, specifically including but not limited to ensuring that there will be no abnormal voltage fluctuations between each step, determining that there will be no conflicts in the usage time of each equipment, and having a clear prompt mark for irreversible operation steps;

[0036] Iteratively optimize the operation sequence according to the verification result.

[0037] Preferably, the power grid topological structure data includes but is not limited to the connection relationship between nodes, line length, and transformer turns ratio information.

[0038] Second aspect, the present invention provides an intelligent operation ticket generation system for power grid maintenance data, which is implemented based on a method for intelligently generating dispatching operation tickets based on power grid maintenance data, including a data receiving module, a data partitioning module, a data acquisition module, a scheme generation module, and an operation ticket generation module. The above-mentioned modules are connected by wired and / or wireless connection methods to achieve data transmission between modules;

[0039] The data receiving module is used to receive maintenance ticket data, obtain the basic operation list corresponding to the task, and sort out all necessary operation steps in the basic operation list;

[0040] The data partitioning module is used to partition the operation steps into irreversible operation steps and reversible operation steps;

[0041] The data acquisition module is used to collect the operation data of the power grid and the health status data of the target equipment in real time;

[0042] The scheme generation module generates multiple feasible operation sequence schemes that meet the preset rules based on the operation data of the power grid and the health status data of the target equipment in combination with irreversible operation steps and reversible operation steps;

[0043] The operation ticket generation module selects the scheme that meets the expected scheme from multiple feasible operation sequence schemes and outputs it as the corresponding dispatching instruction.

[0044] Beneficial effects:

[0045] Traditional operation ticket generation mostly relies on fixed operation sequence templates, while the present invention breaks this limitation. By fully considering the characteristic that some operation sequences can be reversed in the actual maintenance scenario, it can flexibly adjust the operation sequence according to the real-time state of the power grid, equipment characteristics, and maintenance task requirements, generate operation tickets that more meet the actual needs, improve the adaptability of the operation ticket to complex and changeable maintenance scenarios, clarify the flexibility of the operation sequence under different conditions, make the generated operation ticket more suitable for the actual power grid maintenance site with complex and changeable conditions. The optimized operation sequence can minimize the operation time, reduce equipment wear, and simplify the operation complexity to the greatest extent while ensuring safety, improving the efficiency of power grid maintenance work. At the same time, the automated operation ticket generation process reduces the workload of manual writing and further improves the overall work efficiency.

[0046] Introduce a multi-objective optimization algorithm to determine the optimal combination of reversible operation sequences, comprehensively consider multiple objectives such as operation safety, operation time, and equipment wear. Through this quantitative analysis and optimization selection method, compared with the previous method of determining the operation sequence based on experience or simple rules, it can generate the most suitable operation sequence scheme more scientifically and accurately, greatly improving the quality of the operation ticket. Description of the drawings

[0047] Figure 1It is a flowchart of the generation method of the present invention. Detailed implementation manners

[0048] When manually preparing operation tickets, maintenance personnel need to rely on personal experience and memory of operation procedures to determine the operation sequence. However, due to the complexity of the power grid system and the diversity of maintenance tasks, manual operations are prone to errors such as reversed operation sequences, which may lead to serious safety accidents, such as equipment damage, expanded power outage scope, etc.

[0049] Some intelligent systems for generating operation tickets can generate operation tickets according to preset fixed rules, but they do not fully consider the characteristic that some operation sequences can be reversed in actual maintenance scenarios. These systems mechanically follow the established templates, resulting in inflexible generated operation tickets and being unable to meet the complex and changeable power grid maintenance requirements. For example, in some scenarios involving collaborative maintenance of multiple devices, since the system cannot adjust the operation sequence according to the actual situation, it may generate non-optimal operation tickets, thus increasing the maintenance time and cost, and even potentially bringing safety risks due to unreasonable operation sequences.

[0050] Such as Figure 1 As shown: A method for intelligently generating dispatching operation tickets based on power grid maintenance data includes:

[0051] S1: Obtain maintenance ticket data from an external system, parse its text content, and identify the involved substations, equipment objects, and operation task descriptions;

[0052] Extract key information through natural language processing, and standardize the extracted substation and equipment names;

[0053] Through the device matching of the dispatching cloud, associate the standardized names with the unique codes in the equipment ledger to ensure data consistency, obtain the basic operation list corresponding to the operation task description, and sort out all necessary operation steps in the basic operation list;

[0054] For example: Obtain maintenance ticket data from an external system (such as the production management system), parse its text content, and identify the involved substations, equipment objects, and operation task descriptions;

[0055] Extract key information through natural language processing, such as equipment names and operation types;

[0056] Data governance and standardization: Standardize the extracted substation and equipment names to eliminate naming ambiguities

[0057] Through the device matching of the dispatching cloud, associate the standardized names with the unique codes in the equipment ledger to ensure data consistency;

[0058] Specifically, after receiving the maintenance ticket data, the corresponding basic operation list will be obtained according to the maintenance ticket data. The operation list details all the operations required to complete this maintenance task. By extracting all the necessary operation steps, it provides the corresponding basis for the subsequent steps.

[0059] For example, taking the substation maintenance as an example, when obtaining the maintenance task, the maintenance ticket data may require the maintenance of certain lines and equipment. The basic operation list may include operations such as disconnecting the circuit breaker, opening the disconnector, and conducting equipment inspections. By sorting out these specific operation steps one by one, it prepares for the follow-up.

[0060] S2: Obtain the grid topology structure data from the grid geographic information system and the dispatching automation system. Based on the grid topology structure data and the preset operation rules, analyze to obtain the power connection relationship and safety constraint conditions between each operation step, and divide the operation steps into irreversible operation steps and reversible operation steps. Among them, the irreversible operation steps must be executed in a fixed order, and the order of the reversible operation steps can be flexibly adjusted under the preset conditions. Specifically, first obtain the grid topology structure data from the grid geographic information system and the dispatching automation system. The grid topology structure data can show the connection relationship between each node (such as substations, generators, etc.) and lines in the grid. Based on the grid topology structure data and the preset operation rules, the preset operation rules are standardized operation processes formulated according to the power system operation regulations, equipment operation manuals, and industry standards, which stipulate the order of operation steps, the logical relationship of equipment state conversion, etc. By analyzing the power connection relationship and safety constraint conditions between each operation step, the power connection relationship determines the sequence of operations because some operations may affect the power supply of other equipment, and the safety constraint conditions are the physical safety boundaries and protection logics that must be observed in the grid operation to ensure that the operation does not exceed the limit and the equipment is not damaged during the operation process, which is to ensure the safety of personnel and equipment during the operation process. At the same time, divide the operation steps into irreversible operation steps and reversible operation steps through the power connection relationship and safety constraint conditions.

[0061] S3: Real-time collect the real-time status of the equipment and the health status of the target equipment, and standardize the collected substation and equipment names to ensure consistency with the equipment ledger data. It should be noted that real-time collect the real-time status of the equipment (such as the opening and closing position of the switch, voltage and current values) and the health status of the target equipment (such as maintenance records, defect information).

[0062] Associate the substation / equipment names extracted from the maintenance ticket with the standard names in the ledger to solve the alias or abbreviation problems; specifically, after dividing the operation steps in the maintenance task, in order to ensure the safety and feasibility of the operation, it is also necessary to collect the operation data of the power grid and the health status data of the target equipment in real time. The operation data of the power grid includes parameters such as voltage, current, and power, which reflect the real-time operation status of the power grid; the health status data of the target equipment includes information such as the temperature, pressure, and insulation resistance of the equipment. Through these information, it can help to judge whether the equipment is in a normal working state. For example, by monitoring the oil temperature of the transformer, it can be timely found whether there are abnormal situations such as overheating in the transformer. By obtaining information parameters from different aspects and combining them with the divided operation steps, it is convenient to generate the operation ticket subsequently.

[0063] It should be further noted that high-precision voltage transformers, current transformers, power transmitters, and frequency sensors are installed at each node of the power grid to collect the operation data of the power grid in real time, and the data is transmitted to the data processing center through the data acquisition terminal. At the same time, intelligent electricity meters are used to achieve accurate measurement and real-time monitoring of power parameters;

[0064] For various power grid equipment, it is achieved by deploying corresponding condition monitoring devices. For example, oil temperature sensors, winding temperature sensors, and oil chromatographic analyzers are installed on the transformer; opening and closing position sensors, contact temperature monitors, etc. are set on the circuit breaker to obtain the equipment status data in real time.

[0065] S4: Generate multiple feasible operation sequence plans that meet the preset rules based on the operation data of the power grid and the health status data of the target equipment in combination with irreversible operation steps and reversible operation steps; specifically, by aggregating the collected operation data of the power grid, equipment health status data, and the previously divided irreversible operation steps and reversible operation steps, multiple feasible operation sequence plans that meet the preset rules can be generated. The preset rules are formulated according to the safe operation requirements and operation specifications of the power grid to ensure that the generated plans meet both the safety requirements and the operability;

[0066] For example, after considering factors such as the load capacity of the equipment, the sequence of operations, and the operation sequence, several different operation sequence plans can be generated for selection, which is conducive to increasing the selectivity.

[0067] S5: Select the plan that meets the expectations from multiple feasible operation sequence plans and output it as the corresponding dispatching instruction.

[0068] Specifically, from multiple feasible operation sequence plans, select the plan that meets the expectations through a certain evaluation method. After selecting the plan that meets the expectations, output it as the corresponding dispatching instruction according to this plan, which is helpful to provide clear operation guidance for power grid maintenance personnel.

[0069] As a further embodiment, the determination conditions for the irreversible operation steps in S2 at least include:

[0070] Operations that result in an irrecoverable change in the power grid topology, physical isolation operations involving safety measure arrangements, or switching operations that affect the relay protection setting areas.

[0071] It should be understood that an irrecoverable change in the power grid topology after an operation specifically means that once the operation is executed, the topology of the power grid will undergo a permanent change and cannot be easily restored to its original state. For example, removing a transmission line or permanently disconnecting a substation from the power grid will change the topology of the power grid, causing significant changes in the power transmission path and distribution, and this change is usually irreversible;

[0072] Physical isolation operations for safety measure arrangements are to ensure the safety of personnel and equipment during maintenance. For example, when performing equipment maintenance, it is necessary to physically isolate the equipment from the energized part, such as opening the disconnecting switch and hanging the grounding wire. Since these operations must be restored in a specific order once executed, otherwise it may lead to safety accidents, they belong to irreversible operation steps;

[0073] The relay protection setting area is a series of protection settings configured according to different operating modes and fault conditions of the power grid. Since switching the relay protection setting area affects the operating characteristics of the relay protection device, once the switching is incorrect or the sequence is improper, it may cause the relay protection device to malfunction or refuse to operate, thus affecting the safe operation of the power grid;

[0074] The above are examples for explanation. In actual application processes, there are also other situations, which are set according to actual needs and will not be elaborated further.

[0075] As a further embodiment, the reversible operation steps in S2 also include optimized scheduling, including but not limited to the following:

[0076] Generating the shortest path sequence based on the spatial location distribution of the operating equipment, dynamically adjusting the operation timing according to the load transfer requirements, or rotating and sorting considering the balance of the number of equipment operations.

[0077] It should be understood that considering the distribution of equipment in the power grid, by reasonably arranging the operation sequence, the path that the operator walks during the operation can be made the shortest, thereby improving the operation efficiency. For example, in a large substation, there are multiple pieces of equipment that need to be operated. The system can calculate the optimal walking path according to the geographical location information of the equipment, for example, through the Dijkstra algorithm, so as to plan a shortest operation path and reduce the walking time and physical consumption of the operator;

[0078] Since the load condition of the power grid is constantly changing, during maintenance operations, it is necessary to dynamically adjust the operation sequence according to the load transfer requirements. For example, during peak electricity consumption periods, in order to avoid affecting the power supply to users, it is necessary to prioritize some operations that can quickly transfer the load. During off-peak electricity consumption periods, the operation sequence can be appropriately adjusted to improve the utilization rate of equipment.

[0079] Furthermore, in order to prevent some equipment from being damaged prematurely due to frequent operations, it is necessary to balance the number of operations of the equipment. Therefore, by means of rotation sorting, the operation sequence of each equipment is reasonably arranged so that the number of operations of each equipment is relatively balanced, extending the service life of the equipment. By considering different application scenarios, it is possible to screen out the operations that meet the current needs, which helps to generate operation tickets subsequently.

[0080] As a further embodiment, step S2 further includes the following steps:

[0081] Using the production rule representation method, each operation sequence rule is represented in the form of "IF <condition> THEN <operation sequence>" and stored in the constructed rule library. Specifically, by using the production rule representation method to represent each operation sequence rule in the form of "IF <condition> THEN <operation sequence>", this representation method is simple and intuitive, and is easy for operators to understand and implement. For example, "IF the load of a certain line exceeds the rated value THEN first disconnect the circuit breaker of this line and then open the disconnecting switch". In this way, complex operation rules are transformed into clear conditions and operation sequences, which is convenient for the system to process.

[0082] The represented operation rules are stored in the constructed rule library. The rule library is similar to a database and can store data. By this means, the required rules can be searched and called from the rule library at any time. In this way, when analyzing the operation sequence and generating a plan, it helps to quickly and accurately apply the corresponding rules, improving the efficiency and accuracy of generating operation tickets.

[0083] Assign a preset attribute to each operation rule, and the preset attribute includes but is not limited to priority and confidence level.

[0084] Specifically, by assigning preset attributes to each operation rule, including priority and confidence level, the priority indicates the importance of the rule in the decision-making process, and the confidence level indicates the reliability of the rule. By assigning these attributes, it is beneficial to make more flexible and accurate decisions when processing the rules.

[0085] Among them, the priority can be set by organizing experts in the field of power system, evaluating each operation rule according to their professional knowledge and practical experience, or by using power system simulation software to simulate the possible fault conditions of the power grid under different operation rules, and determining the priority of the rules by analyzing indicators such as the severity, influence range and duration of the faults. Of course, the priority can also be assigned according to the urgency of the current dispatching task. The assignment method is not unique and can be selected according to actual needs. The confidence level can be determined by conducting multiple experimental verifications on the operation rules in a laboratory environment or a simulated power grid. The more times the rule passes the verification, the higher its confidence level. Or by collecting the application feedback information of the rule in actual power grid operations and other methods. The criterion for the confidence level is that in actual applications, if the rule can stably and accurately guide operations and rarely cause problems, then its confidence level will increase accordingly.

[0086] Furthermore, the priority is used to determine the execution order of the rules, and the confidence level is used to evaluate the reliability of the rules.

[0087] As a further embodiment, the step S4 includes:

[0088] S41. Based on the collected power grid operation data and equipment health status data, compare the preset rules with the real-time collected data, judge whether each operation is executable, and screen out the list of executable operation steps; [[ID=!0]]

[0089] Specifically, compare the preset rules with the real-time collected power grid operation data and equipment health status data, and judge whether each operation is executable. For example, if the voltage of a certain line is too high, according to the preset rules, the closing operation may not be allowed, and the system will exclude this operation from the list of executable operation steps. In this way, the list of operation steps that can be executed under the current power grid operation state is screened out.

[0090] S42. Generate an operation sequence dependency graph with constraint conditions according to the fixed order of irreversible operation steps and the topological constraints of reversible operation steps; Specifically, generate an operation sequence dependency graph with constraint conditions according to the fixed order of irreversible operation steps and the topological constraints of reversible operation steps, which fully demonstrates the sequence and dependency relationship between each operation step. For example, when performing equipment maintenance, the circuit breaker must be disconnected first before subsequent equipment inspection and repair operations can be carried out. This sequence will be clearly shown in the dependency graph.

[0091] S43. Generate an initial candidate solution through a specified algorithm based on the list of executable operation steps and the operation sequence dependency graph with constraints. The specified algorithm includes, but is not limited to, the topological sorting algorithm and the backtracking algorithm. Specifically, generate an initial candidate solution through a specified algorithm based on the list of executable operation steps and the operation sequence dependency graph with constraints. The specified algorithm includes, but is not limited to, the topological sorting algorithm and the backtracking algorithm.

[0092] Furthermore, the topological sorting algorithm can generate an operation sequence that meets the order requirements according to the dependency relationships between operation steps. The backtracking algorithm can continuously try different operation orders during the process of generating solutions to find more feasible solutions. That is to say, the topological sorting algorithm is used to handle the fixed order of irreversible operation steps, and the backtracking algorithm is used to explore the flexible arrangement of reversible operation steps.

[0093] S44. Screen the initial candidate solutions according to preset rules to obtain a set of feasible operation order solutions.

[0094] Specifically, screen the initial candidate solutions according to preset rules, exclude those solutions that do not conform to the rules, and finally obtain a set of feasible operation order solutions to ensure that these solutions meet both safety requirements and operability under the current power grid operation state.

[0095] As a further embodiment, the S5 step further includes evaluating and selecting the operation order, specifically:

[0096] S411. During the process of generating multiple feasible operation order solutions, calculate the objective evaluation values of different operation orders through a multi-objective optimization algorithm.

[0097] Specifically, for the multiple feasible operation order solutions generated, calculate the objective evaluation values of different operation orders through a multi-objective optimization algorithm, and its calculation formula is ;

[0098] Where As the objective evaluation value, it is used to comprehensively evaluate the advantages and disadvantages of the operation order. The larger the objective evaluation value the operation order that is preferentially selected;

[0099] S: The operation safety index. The lower the arc energy, the higher the safety. Here, it is assumed that the value range of S is [0, 1], and 1 represents the highest safety;

[0100] O: The operation complexity index, with a value range of [0, 100]. The operation complexity is comprehensively determined by factors such as the difficulty of the operation, the number of involved devices, and the complexity of the operation steps. Among them, the higher the O value, the more complex the operation. This item is introduced because complex operations may bring higher risks. Even if safety indicators such as arc energy are good, it also needs to be reflected in the objective function;

[0101] : The influence value of the operation on the change of the grid's active power. During the maintenance operation of the grid, the operation may cause a change in the grid's active power, representing the absolute value of this change.

[0102] : The maximum allowable change value of the active power that the grid can withstand under the current operating state. This value is determined according to factors such as the grid's capacity, operating characteristics, and the settings of protection devices; Through this item, it reflects the influence of the operation on the stability of the grid's active power, while the denominator represents the correction factor for the influence of the operation on the active power stability, The larger it is, the larger the correction factor, and the greater the impact on the operation safety index S, that is, the greater the influence of the operation on the stability of the grid's active power, and the relatively lower the weight of S in the objective function;

[0103] T: The operation time, which refers to the estimated time required to complete a specific operation sequence;

[0104] : The historical average value of the operation time for completing similar maintenance tasks. By dividing the operation time T by the historical average value to standardize the operation time to a relative value for comprehensive calculation with other indicators;

[0105] L: The equipment loss index, comprehensively considering the loss situations such as mechanical wear and electrical aging of the equipment during the operation, with a value range of [0, 1], where 0 represents no loss and 1 represents the maximum loss;

[0106] C: The equipment importance coefficient, with a value range of [0, 100]. It is determined according to the importance of the equipment in the grid. For example, the C value of the main transformer of a key substation is relatively high, while the C value of some auxiliary equipment is relatively low. The loss of important equipment should be given a greater weight in the objective function. Therefore, through to adjust the equipment loss index L;

[0107] : The influence value of the operation on the change of the grid voltage. The operation may cause voltage fluctuations in the grid, representing the absolute value of this voltage change;

[0108] : The maximum voltage change value that the power grid can withstand under the current operating state. This value is determined based on factors such as the voltage level of the power grid, voltage regulation ability, and the voltage tolerance range of equipment. And the denominator is a correction factor for the impact of the operation on voltage stability. Similar to the correction principle of active power change, it reflects the impact of the operation on the voltage stability of the power grid, and then adjusts the weight of the equipment loss index L in the objective function.

[0109] The above formula comprehensively considers multiple factors affecting the quality of the operation sequence. And through various correction factors and normalization processes, different types of indicators can be reasonably comprehensively evaluated in the same objective function, providing a more comprehensive and accurate basis for determining the optimal operation sequence.

[0110] S422. Select the operation sequence plan with the optimal target evaluation value as the final operation sequence plan to generate an operation ticket.

[0111] Specifically, by selecting the operation sequence plan with the optimal target evaluation value as the final operation sequence plan and generating an operation ticket according to this plan, the generated operation ticket not only meets the actual needs of power grid maintenance but also achieves a better balance among multiple objectives;

[0112] Further, considering the actual situation on site, for example, combining it with the optimal scheduling in step S2, so as to further optimize the result through the combination of multiple factors, which is beneficial to obtaining the operation steps of the optimal solution and making the operation ticket more in line with the actual needs.

[0113] As a further embodiment, in S1, receive the maintenance ticket data and obtain the basic operation list corresponding to the task. The list at least includes the following contents:

[0114] The unique coding of the equipment, and the equipment coding contains GIS geographical coordinate information;

[0115] The operation type identifier, specifically including but not limited to opening, closing, and inspection;

[0116] The preset safety interval time.

[0117] Specifically, the unique coding of the device is like the "ID card" of the device, which contains GIS geographical coordinate information. Through the device coding, the system can accurately locate and identify each device, understand its specific location in the power grid. The operation type identifier clarifies the specific type of each operation. These operation type identifiers provide clear operation guidance for the operators, enabling them to know what specific operations are required for each operation step. The preset safety interval time is the time interval set to ensure safety during the operation process. For example, after a circuit breaker opening operation, it is necessary to wait for a certain period of time before performing subsequent other operations to ensure that the device and the line are in a safe state. This preset safety interval time will be clearly marked in the operation ticket to remind the operators to strictly operate according to the time requirements.

[0118] As a further embodiment, after the step S5, it further includes:

[0119] Based on the initialization of the maintenance ticket instructions, input the maintenance ticket data: Analyze the content of the maintenance ticket provided by an external system (such as OMS), and extract the key operation tasks (such as "Maintenance of the No. 1 main transformer outage at 220kV XX Substation");

[0120] Precise matching of the maintenance equipment: Identify the substation and equipment name (such as "No. 1 main transformer") in the maintenance ticket through the maintenance equipment extraction module;

[0121] Perform standardization (such as correcting "No. 1 main transformer" to "No. 1 main transformer"), and bind it to the unique coding of the equipment ledger to ensure the accuracy of the equipment identification in the instructions;

[0122] Through the operation task identification module, map the task types described in the maintenance ticket (such as "outage", "switching operation") to the preset operation ticket template library, and select the corresponding instruction framework (such as "Standard operation template for main transformer outage");

[0123] Call the inference engine, analyze the operation boundary conditions based on the device topology relationship (such as the switches and disconnectors connected to the main transformer), and generate a preliminary operation logic chain;

[0124] The dynamic generation scheduling instruction arrangement engine generates an instruction sequence based on the following content. The priority of the maintenance ticket task: Sort the core steps according to the outage scope and equipment importance, and dynamically insert status confirmation instructions (such as "Check that the high-voltage side switch of the No. 1 main transformer is in the open position") in combination with the real-time status of the equipment (such as the current open / closed position of the switch);

[0125] Generate structured instruction items according to the dispatching regulations, including: Item sequence: The serial number arranged according to the operation logic (such as "1. Disconnect the high-voltage side switch of the No. 1 main transformer at 220kV"), Location: Standardized substation and equipment name (such as "220kV XX Substation / No. 1 main transformer"), Operation content: Instruction description that conforms to the term specification (such as "disconnect", "close", "inspect for electricity");

[0126] Note: Refer to the special requirements in the maintenance ticket (such as "to be executed after confirmation by the duty supervisor").

[0127] Conduct a safety check on each plan, specifically including but not limited to ensuring that there will be no abnormal voltage fluctuations between each step, determining that there will be no conflicts in the usage time of each device, and having clear prompt marks for irreversible operation steps;

[0128] Iteratively optimize the operation sequence according to the verification results.

[0129] It should be understood that during operation, an abnormal voltage fluctuation is defined as a voltage deviation from the rated value by ±5%. If a certain operation step may cause a sudden increase or decrease in voltage, the system will give an early warning and adjust the operation sequence. If the operation times of multiple devices overlap, it may cause equipment damage or safety accidents, and the system will make adjustments; for irreversible operation steps, obvious prompts will be made in the operation ticket to remind the operator to operate carefully. According to the verification results of the safety check, the operation sequence will be iteratively optimized. If it is found that a certain plan has potential safety hazards or low efficiency, the operation sequence can be readjusted, evaluated and inspected again until a safe and efficient operation sequence is obtained;

[0130] By continuously repeating the above processes of adjustment, evaluation and inspection until the operation sequence meets both safety requirements (no abnormal voltage fluctuations, no conflicts in device usage time, and clear prompt marks for irreversible operation steps, etc.) and reaches a relatively high efficiency level. At this time, the iterative optimization process ends, and the obtained operation sequence is the final safe and efficient operation sequence.

[0131] As a further embodiment, the power grid topology structure data includes but not limited to the connection relationship between nodes, line length, and transformer turns ratio information.

[0132] It should be understood that the connection relationship between nodes describes how each node (such as a substation, generator, load, etc.) in the power grid is interconnected. This connection relationship determines the power transmission path and direction and is the basis for the operation of the power grid; the line length refers to the actual length of the transmission line. The line length will affect the power transmission loss and voltage drop. A longer line will result in greater loss and voltage drop. The transformer turns ratio information describes the proportional relationship between the input voltage and output voltage of the transformer. The transformer is an important device in the power grid for changing the voltage level. "The transformer turns ratio information is used to calculate the voltage distribution and power flow in the power grid, and different turns ratios can achieve the conversion between different voltage levels.

[0133] Second aspect, the present invention provides an intelligent operation ticket generation system for power grid maintenance data, which is implemented based on a method for intelligently generating dispatching operation tickets based on power grid maintenance data. The system includes a data receiving module, a data partitioning module, a data acquisition module, a scheme generation module, and an operation ticket generation module. Each of the above modules is connected by wired and / or wireless connection methods to realize data transmission between modules;

[0134] The data receiving module is used to receive maintenance ticket data, obtain the basic operation list corresponding to the task, and sort out all necessary operation steps in the basic operation list;

[0135] The data partitioning module is used to partition the operation steps into irreversible operation steps and reversible operation steps;

[0136] The data acquisition module is used to collect the operation data of the power grid and the health status data of the target equipment in real time;

[0137] The scheme generation module generates multiple feasible operation sequence schemes that meet the preset rules based on the operation data of the power grid and the health status data of the target equipment, combined with irreversible operation steps and reversible operation steps;

[0138] The operation ticket generation module selects the scheme that meets the expected scheme from multiple feasible operation sequence schemes and outputs it as the corresponding dispatching instruction.

[0139] The above is only the preferred embodiment of the present invention. The protection scope of the present invention is not limited to the above embodiments. All technical solutions within the idea of the present invention belong to the protection scope of the present invention. It should be pointed out that for those of ordinary skill in the art of this technology, several improvements and refinements made without departing from the principle of the present invention should also be regarded as the protection scope of this template.

Claims

1. A method for intelligently generating a dispatching operation ticket based on power grid maintenance data, characterized in that, Including: S1: Obtain maintenance ticket data from an external system, parse its text content, and identify the involved substations, equipment objects, and operation task descriptions; Extract key information through natural language processing and standardize the extracted substation and equipment names; Through equipment matching in the dispatching cloud, associate the standardized names with the unique codes in the equipment ledger to ensure data consistency, obtain the basic operation list corresponding to the operation task description, and sort out all necessary operation steps in the basic operation list; S2: Obtain the power grid topology structure data from the power grid geographic information system and the dispatching automation system. Based on the power grid topology structure data and preset operation rules, analyze and obtain the electrical connection relationships and safety constraint conditions between each operation step, and divide the operation steps into irreversible operation steps and reversible operation steps. Among them, the irreversible operation steps must be executed in a fixed order, and the order of the reversible operation steps can be flexibly adjusted under preset conditions; The reversible operation steps in S2 also include optimized dispatching, including but not limited to the following: Generate the shortest path sequence based on the spatial location distribution of the operating equipment, dynamically adjust the operation timing according to the load transfer requirements, or perform rotation sorting considering the balance of equipment operation times; S2 also includes the following steps: Use the production rule representation method to represent each operation sequence rule in the form of "IF <condition> THEN <operation sequence>" and store it in the constructed rule library; assign preset attributes to each operation rule, and the preset attributes include but are not limited to priority and confidence level; S3: Real-time collect the real-time status of the equipment and the health status of the target equipment, standardize the collected substation and equipment names to ensure consistency with the equipment ledger data; associate the substation / equipment names extracted from the maintenance ticket with the standard names in the ledger to solve the problem of aliases or abbreviations; S4: Generate multiple feasible operation sequence schemes that meet the preset rules based on the operation data of the power grid and the health status data of the target equipment, combined with irreversible operation steps and reversible operation steps; The S4 step includes: S41. Based on the collected power grid operation data and equipment health status data, compare the preset rules with the real-time collected data, judge whether each operation is executable, and filter out the list of executable operation steps; S42. Generate an operation sequence dependency graph with constraint conditions according to the fixed order of the irreversible operation steps and the topological constraints of the reversible operation steps; S43. Based on the list of executable operation steps and the operation sequence dependency graph with constraint conditions, generate an initial candidate scheme through a specified algorithm, and the specified algorithm includes but is not limited to the topological sorting algorithm and the backtracking algorithm; S44. Screen the initial candidate scheme according to the preset rules to obtain a set of feasible operation sequence schemes; S5: Select the scheme that meets the expectations from multiple feasible operation sequence schemes and output it as the corresponding dispatching instruction.

2. The method for intelligently generating a dispatching operation ticket based on power grid maintenance data according to claim 1, wherein The determination conditions of the irreversible operation steps in S2 at least include: Operations that cause irreparable changes to the power grid topology structure after operation, physical isolation operations involving safety measure arrangements, or switching operations that affect the relay protection setting area.

3. A method for intelligently generating a dispatching operation ticket based on power grid maintenance data according to claim 1, characterized in that, The S5 step further includes evaluating and selecting the operation sequence, specifically: S411. During the process of generating multiple feasible operation sequence schemes, calculate the objective evaluation values of different operation sequences through a multi-objective optimization algorithm; S422. Select the operation sequence scheme with the optimal objective evaluation value as the final operation sequence scheme to generate an operation ticket.

4. A method for intelligently generating a dispatching operation ticket based on power grid maintenance data according to claim 1, characterized in that: In the S1, maintenance ticket data is received, and a basic operation list corresponding to the task is obtained. The list at least includes the following contents: the unique code of the device, and the device code contains GIS geographical coordinate information; an operation type identifier, specifically including but not limited to opening, closing, and inspection; a preset safety interval time.

5. A method for intelligently generating a dispatching operation ticket based on power grid maintenance data according to claim 1, characterized in that, After the S5 step, it further includes: Conduct a safety check on each scheme, specifically including but not limited to ensuring that there will be no abnormal voltage fluctuations between each step, determining that there will be no conflicts in the usage time of each device, and having a clear prompt mark for irreversible operation steps; iteratively optimize the operation sequence according to the verification results.

6. The method for intelligently generating a dispatching operation ticket based on power grid maintenance data according to claim 1, characterized in that The power grid topology structure data includes but not limited to the connection relationship between nodes, line length, and transformer turns ratio information.

7. An intelligent system for generating dispatching operation tickets based on power grid maintenance data, characterized in that: It is implemented based on the method for intelligently generating a dispatching operation ticket based on power grid maintenance data according to any one of claims 1-6, characterized in that it includes a data receiving module, a data partitioning module, a data acquisition module, a scheme generation module, and an operation ticket generation module. The above-mentioned modules are connected by wired and / or wireless connection methods to realize data transmission between modules; The data receiving module is used to receive maintenance ticket data, obtain the basic operation list corresponding to the task, and sort out all necessary operation steps in the basic operation list; The data partitioning module is used to partition the operation steps into irreversible operation steps and reversible operation steps; The data acquisition module is used to collect the operation data of the power grid and the health status data of the target device in real time; The scheme generation module generates multiple feasible operation sequence schemes that meet the preset rules based on the operation data of the power grid and the health status data of the target device in combination with irreversible operation steps and reversible operation steps; The operation ticket generation module selects a scheme that meets the expectations from multiple feasible operation sequence schemes and outputs it as the corresponding dispatching instruction.

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