Method and system for intelligently generating dispatching operation ticket based on power grid maintenance data

Abstract

The invention discloses a method and system for intelligently generating a scheduling operation ticket based on power grid maintenance data, and relates to the technical field of operation ticket generation, and the method comprises the steps: obtaining maintenance ticket data from an external system, analyzing the text content of the maintenance ticket data, and recognizing related plant stations, equipment objects and operation task descriptions; key information is extracted through natural language processing, and standardized management is carried out on the extracted plant station and equipment names; the method comprises the following steps: regulating cloud equipment matching, associating a standardized name with a unique code in an equipment ledger, ensuring data consistency, obtaining a basic operation list corresponding to operation task description, sorting out all necessary operation steps in the basic operation list, fully considering the characteristic that a part of operation sequences can be reversed in an actual maintenance scene, and obtaining a maintenance result. The operation order can be flexibly adjusted according to the real-time state of the power grid, the equipment characteristics and the maintenance task requirements, and the operation order better meeting the actual requirements is generated.

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 a dispatching operation ticket 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 an operation ticket, 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.; Some systems for intelligently 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 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 coordinated 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

[0004] To solve the above problems, the present invention provides a method for intelligently generating a dispatching operation ticket based on power grid maintenance data.

[0005] The present invention provides a method for intelligently generating a dispatching operation ticket based on power grid maintenance data, 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 the matching of devices 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 the preset operation rules, analyze and obtain the electrical connection relationships and safety constraint conditions among the respective operation steps, 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; 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 inventory data; Associate the substation / equipment names extracted from the maintenance ticket with the standard names in the inventory to solve the problem of aliases or abbreviations; 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; S5: Select a scheme that meets the expectations from multiple feasible operation sequence schemes and output it as the corresponding dispatching instruction.

[0006] Preferably, the determination conditions for 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.

[0007] Preferably, 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 time sequence according to the load transfer requirements, or perform rotation sorting considering the balance of the equipment operation times.

[0008] Preferably, S2 further includes the following steps: 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; Assign preset attributes to each operation rule, and the preset attributes include but are not limited to priority and confidence level.

[0009] Preferably, 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 screen out a 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. 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, where the specified algorithm includes but is not limited to topological sorting algorithms and backtracking algorithms; S44. Screen the initial candidate solution according to preset rules to obtain a set of feasible operation sequence solutions.

[0010] Preferably, the S5 step further includes evaluating and selecting an operation sequence, specifically: S411. During the process of generating multiple feasible operation sequence solutions, calculate the target evaluation values of different operation sequences through a multi-objective optimization algorithm; S422. Select the operation sequence solution with the optimal target evaluation value as the final operation sequence solution to generate an operation ticket.

[0011] Preferably, in S1, receive maintenance ticket data and obtain the basic operation list corresponding to the task, and the list at least includes the following contents: The unique coding of the device, and the device coding contains GIS geographical coordinate information; The operation type identifier, specifically including but not limited to opening, closing, and inspection; The preset safety interval time.

[0012] Preferably, the S5 step further includes: 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 device, and having clear prompt marks for irreversible operation steps; Iteratively optimize the operation sequence according to the verification result.

[0013] Preferably, the power grid topology structure data includes but is not limited to the connection relationship between nodes, line length, and transformer ratio information.

[0014] In a second aspect, the present invention provides a system for intelligently generating a dispatching operation ticket based on power grid maintenance data, which is implemented based on a method for intelligently generating a dispatching operation ticket based on power grid maintenance data, and includes a data receiving module, a data partitioning module, a data acquisition module, a solution 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; 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; A scheme generation module generates multiple feasible operation sequence schemes that meet preset rules by combining irreversible operation steps and reversible operation steps based on the operation data of the power grid and the health status data of the target device. 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.

[0015] Beneficial effects: 1. Traditional operation tickets are mostly generated relying on fixed operation sequence templates. However, the present invention breaks through this limitation. By fully considering the characteristic that some operation sequences can be reversed in actual maintenance scenarios, 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 better meet the actual needs, improve the adaptability of operation tickets to complex and changeable maintenance scenarios, clarify the flexibility of operation sequences under different conditions, make the generated operation tickets more in line with the actual situation of the complex and changeable power grid maintenance site. The optimized operation sequence can, on the premise of ensuring safety, minimize the operation time, reduce equipment wear, and simplify the operation complexity to the greatest extent, 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.

[0016] 2. A multi-objective optimization algorithm is introduced to determine the optimal combination of reversible operation sequences. By comprehensively considering 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 operation sequences based on experience or simple rules, it can generate the most suitable operation sequence scheme more scientifically and accurately, greatly improving the quality of operation tickets. Description of the drawings

[0017] Figure 1 is a flowchart of the generation method of the present invention. Detailed implementation manners

[0018] When manually preparing 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 prone to mistakes such as reversed operation sequences, which may lead to serious safety accidents, such as equipment damage, expanded power outage scope, etc.; Partial intelligent operation ticket generation systems can generate operation tickets according to preset fixed rules, but they fail to fully consider the characteristic that the operation sequence can be reversed in some actual maintenance scenarios. These systems mechanically follow the established templates, resulting in inflexible operation tickets that cannot meet the complex and changeable 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 suboptimal operation tickets, thereby increasing maintenance time and costs, and even potentially bringing safety risks due to unreasonable operation sequences.

[0019] Such as Figure 1 shown: A method for intelligently generating dispatching operation tickets based on grid maintenance data includes: 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 the device matching of the control 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; 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; Extract key information through natural language processing, such as equipment names and operation types; Data governance and standardization: Standardize the extracted substation and equipment names to eliminate naming ambiguities Through the device matching of the control cloud, associate the standardized names with the unique codes in the equipment ledger to ensure data consistency; Specifically, when receiving 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; For example, taking 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 disconnecting switch, and conducting equipment inspections. By sorting out these specific operation steps one by one, it prepares for the subsequent steps.

[0020] 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 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. Specifically, first obtain the power grid topology structure data from the power grid geographic information system and the dispatching automation system. The power grid topology structure data can show the connection relationships between each node (such as substations, generators, etc.) and lines in the power grid. Based on the power 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 relationships of equipment state conversions, etc. By analyzing the electrical connection relationships and safety constraint conditions between each operation step, the electrical connection relationships determine 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 adhered to during the operation of the power grid 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 electrical connection relationships and safety constraint conditions.

[0021] 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 inventory data. It should be noted that real-time collect the real-time status of the equipment (such as the opening and closing positions of switches, voltage and current values) and the health status of the target equipment (such as maintenance records, defect information). Associate the substation / equipment names extracted from the maintenance ticket with the standard names in the inventory to solve the problem of aliases or abbreviations. Specifically, after dividing the operation steps in the maintenance task, to ensure the safety and feasibility of the operation, it is also necessary to real-time collect the operation data of the power grid and the health status data of the target equipment. 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 abnormalities 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.

[0022] It should be further noted that high-precision voltage transformers, current transformers, power transmitters, frequency sensors, etc. 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 meters are used to achieve accurate measurement and real-time monitoring of power parameters; For various power grid equipment, it is realized by deploying corresponding condition monitoring devices. For example, oil temperature sensors, winding temperature sensors, and oil chromatograph analyzers are installed on transformers; opening and closing position sensors, contact temperature monitors, etc. are set on circuit breakers to obtain the equipment status data in real time.

[0023] S4: Based on the operation data of the power grid and the health status data of the target equipment, combine irreversible operation steps and reversible operation steps to generate multiple feasible operation sequence schemes that meet the preset rules; specifically, by collecting the operation data of the power grid, the equipment health status data, and the previously divided irreversible operation steps and reversible operation steps for aggregation, multiple feasible operation sequence schemes 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 schemes meet both safety requirements and operability; 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 schemes can be generated for selection, which is conducive to increasing the selectivity.

[0024] S5: Select a scheme that meets the expected scheme from multiple feasible operation sequence schemes and output it as the corresponding dispatching instruction.

[0025] Specifically, from multiple feasible operation sequence schemes, a scheme that meets the expected scheme is selected through a certain evaluation method. After selecting the scheme that meets the expected scheme, it is used as the corresponding dispatching instruction for output, which helps to provide clear operation guidance for power grid maintenance personnel.

[0026] As a further embodiment, the determination conditions of the irreversible operation steps in S2 at least include: Operations that cause irreversible 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.

[0027] It should be understood that the operation that causes irreversible changes in the power grid topology structure after operation specifically means that once the operation is executed, the topology structure of the power grid will undergo permanent changes and cannot be easily restored to the original state. For example, removing a transmission line or permanently disconnecting a substation from the power grid will change the topology structure of the power grid, resulting in significant changes in the power transmission path and distribution, and this change is usually irreversible; The physical isolation operation in the safety measure arrangement is 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, once executed, must be restored in a specific order, otherwise it may lead to safety accidents, so they belong to irreversible operation steps; 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 the operation of switching the relay protection setting area will affect the operating characteristics of the relay protection device, if 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; The above are examples for explanation. There are other situations in the actual application process, which are set according to actual needs and will not be elaborated further.

[0028] As a further embodiment, the reversible operation steps in S2 further include optimized scheduling, including but not limited to the following: 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 demand, or considering the rotation sorting for the balance of the equipment operation times.

[0029] 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, thus improving the operation efficiency. For example, in a large-scale substation, there are multiple equipment that need to be operated. The system can calculate the optimal walking path according to the geographical location information of the equipment, such as through the Dijkstra algorithm, so as to plan a shortest operation path and reduce the walking time and physical consumption of the operator; Since the load condition of the power grid is constantly changing, when performing maintenance operations, it is necessary to dynamically adjust the operation sequence according to the load transfer demand. For example, during the peak electricity consumption period, in order to avoid affecting the power supply to users, it is necessary to give priority to some operations that can quickly transfer the load. While during the low electricity consumption period, the operation sequence can be appropriately adjusted to improve the utilization rate of the equipment; Furthermore, in order to prevent some equipment from being damaged prematurely due to frequent operation, it is necessary to balance the operation times of the equipment. Therefore, through the rotation sorting method, the operation sequence of each equipment is reasonably arranged, so that the operation times of each equipment are relatively balanced, extending the service life of the equipment. By considering different application scenarios, the operations that meet the current needs can be screened out, which helps to generate the operation ticket subsequently.

[0030] As a further embodiment, S2 further includes the following steps: Using the production rule representation method, each operation sequence rule is represented as "IF <condition> THEN <operation sequence" and stored in the constructed rule base; specifically, by using the production rule representation method, each operation sequence rule is represented as "IF <condition> THEN <operation sequence" 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 the line, and then pull the disconnector". In this way, complex operation rules are converted into clear conditions and operation sequences, which is convenient for the system to process; The expressed operation rules are stored in the constructed rule base. The rule base is similar to a database and can store data. In this way, the required rules can be found and called from the rule base at any time. This helps to quickly and accurately apply the corresponding rules when performing operation sequence analysis and solution generation, thereby improving the efficiency and accuracy of generating operation tickets.

[0031] Each operation rule is assigned preset attributes, including but not limited to priority and confidence.

[0032] Specifically, by assigning preset attributes to each operation rule, including priority and confidence, the priority indicates the importance of the rule in the decision-making process, and the confidence indicates the reliability of the rule. By assigning these attributes, it is conducive to making decisions more flexibly and accurately when processing rules; Among them, the priority can be set by organizing experts in the field of power systems to evaluate each operating rule based on their professional knowledge and practical experience. It can also be done by using power system simulation software to simulate possible fault conditions in the power grid under different operating rules, and determine the priority of the rule by analyzing indicators such as the severity, impact range and duration of the fault. Of course, the priority can also be assigned according to the urgency of the current scheduling task. The assignment method is not unique and can be selected according to actual needs. The confidence can be verified by multiple experiments on the operating rules in a laboratory environment or a simulated power grid. The more times the rule is verified, the higher its confidence. It can also be determined by collecting feedback information on the application of the rule in actual power grid operations, etc. The criterion for confidence is that in actual applications, the rule can guide operations stably and accurately, and rarely encounters problems, then its confidence will increase accordingly.

[0033] Furthermore, the priority is used to determine the order in which the rules are executed, and the confidence is used to evaluate the reliability of the rules.

[0034] As a further embodiment, 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 a list of executable operation steps. Specifically, compare the preset rules with the real-time collected power grid operation data and equipment health status data to 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, a list of operation steps that can be executed under the current power grid operation status is filtered out.

[0035] S42. Generate an operation sequence dependency graph with constraint conditions based on 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 based on the fixed order of irreversible operation steps and the topological constraints of reversible operation steps, which fully demonstrates the sequence and dependency relationships 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, and this sequence will be clearly shown in the dependency graph.

[0036] 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. Specifically, 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. Furthermore, the topological sorting algorithm can generate an operation sequence that meets the sequence requirements according to the dependency relationships between operation steps; the backtracking algorithm can continuously try different operation sequences 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.

[0037] S44. Screen the initial candidate solution according to the preset rules to obtain a set of feasible operation sequence solutions.

[0038] Specifically, screen the initial candidate solution according to the preset rules, exclude those solutions that do not meet the rules, and finally obtain a set of feasible operation sequence solutions to ensure that these solutions are both safe and operable under the current power grid operation status.

[0039] As a further embodiment, 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; Specifically, for the multiple feasible operation sequence schemes generated, calculate the objective evaluation values of different operation sequences through a multi-objective optimization algorithm. The calculation formula is ; Among them, F is the objective evaluation value, which is used to comprehensively evaluate the pros and cons of the operation sequence. The larger the objective evaluation value F, the operation sequence that is preferentially selected; S: 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; O: 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 devices involved, and the complexity of the operation steps. Among them, the higher the value of O, the more complex the operation. This item is introduced because complex operations may bring higher risks. Even if the safety indicators such as arc energy are good, they need to be reflected in the objective function; : The influence value of the operation on the change of the active power of the power grid. During the maintenance operation of the power grid, the operation may cause a change in the active power of the power grid. Represents the absolute value of this change.

[0040] : The maximum allowable change value of the active power that the power grid can withstand under the current operating state. This value is determined according to factors such as the capacity of the power grid, operating characteristics, and settings of protection devices; through This item reflects the influence of the operation on the stability of the active power of the power grid, 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, the greater the influence on the operation safety index S, that is, the greater the influence of the operation on the active power stability of the power grid, and the relatively lower the weight of S in the objective function; T: Operation time, which refers to the estimated time required to complete a specific operation sequence; : The historical average value of the operation time to complete similar maintenance tasks. By dividing the operation time T by the historical average value The operation time is normalized to a relative value for comprehensive calculation with other indicators; L: 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; C: The equipment importance coefficient, with a value range of [0, 100]. It is determined according to the importance of the equipment in the power grid. For example, the C value of the main transformer in a key substation is relatively high, while that of some auxiliary equipment is relatively low. The losses of important equipment should be given greater weight in the objective function. Therefore, by adjusting the equipment loss index L; : The influence value of the operation on the power grid voltage change. The operation may cause voltage fluctuations in the power grid, representing the absolute value of this voltage change; : The maximum voltage change value that the power grid can withstand under the current operating state. This value is determined according to factors such as the voltage level of the power grid, voltage regulation ability, and the voltage tolerance range of the equipment. And the denominator is the correction factor for the influence of the operation on voltage stability. Similar to the correction principle of active power change, it reflects the influence 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.

[0041] The above formula comprehensively considers multiple factors affecting the quality of the operation sequence. And through various correction factors and standardization 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.

[0042] S422. Select the operation sequence plan with the optimal target evaluation value as the final operation sequence plan to generate an operation ticket.

[0043] 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; Furthermore, 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 conducive to obtaining the optimal operation steps and making the operation ticket more in line with the actual needs.

[0044] 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: The unique coding of the equipment, and the equipment coding contains GIS geographical coordinate information; The operation type identifier, specifically including but not limited to opening, closing, and inspection; The preset safety interval time.

[0045] Specifically, the unique code of the device is like the "ID card" of the device, which contains GIS geographical coordinate information. Through the device code, 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 need to be carried out for each operation step. The preset safety interval time is a time interval set to ensure safety during the operation process. For example, after a circuit breaker opening operation, a certain period of time needs to be waited before subsequent other operations can be carried out 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.

[0046] As a further embodiment, after the step S5, it further includes: Based on the initialization of the maintenance ticket instructions, input the maintenance ticket data: Parse 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"); 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; Perform standardization (such as correcting "No. 1 main transformer" to "No. 1 main transformer"), and bind it to the unique code of the equipment ledger to ensure the accuracy of the equipment identification in the instructions; Through the operation task identification module, map the task types (such as "outage", "switching operation") described in the maintenance ticket to the preset operation ticket template library, and select the corresponding instruction framework (such as "Standard operation template for main transformer outage"); Call the inference engine, analyze the operation boundary conditions based on the equipment topological relationship (such as the switches and disconnectors connected to the main transformer), and generate a preliminary operation logic chain; The dynamic generation scheduling instruction arrangement engine generates an instruction sequence according to 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); 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 conforming to the terminology specification (such as "Disconnect", "Close", "Verify the electricity"); Remarks: Quote the special requirements in the maintenance ticket (such as "It needs to be confirmed by the duty officer before execution").

[0047] 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; Iteratively optimize the operation sequence according to the verification results.

[0048] 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 device 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; By continuously repeating the above process of adjustment, evaluation and inspection until the operation sequence not only meets the safety requirements (no abnormal voltage fluctuations, no conflicts in device usage time, and clear prompt marks for irreversible operation steps, etc.) but also 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.

[0049] As a further embodiment, the grid topology structure data includes but is not limited to the connection relationship between nodes, line length, and transformer turns ratio information.

[0050] 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.

[0051] In a second aspect, the present invention provides a system for intelligently generating a dispatching operation ticket based on grid maintenance data, which is implemented based on a method for intelligently generating a dispatching operation ticket based on grid maintenance data, and includes a data receiving module, a data partitioning module, a data acquisition module, a plan 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 each module; The data receiving module is used to receive maintenance ticket data, obtain the basic operation list corresponding to the task, and sort out all the necessary operation steps in the basic operation list; The data division module is used to divide 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, combined with irreversible operation steps and reversible operation steps; The operation ticket generation module selects the scheme that meets the expectations from multiple feasible operation sequence schemes and outputs it as the corresponding dispatching instruction.

[0052] The above is only the preferred embodiment of the present invention, and 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 noted that for those of ordinary skill in the art, several improvements and refinements made without departing from the principle of the present invention should also be regarded as within 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: include: S1: Obtain maintenance ticket data from the external system, parse its text content, and identify the plant station, equipment objects and operation task description involved; Extract key information through natural language processing and standardize the extracted plant, station and equipment names; By regulating the cloud device matching, the standardized name is associated with the unique code in the device ledger to ensure data consistency, obtain the basic operation list corresponding to the operation task description, and sort out all the necessary operation steps in the basic operation list; S2: Obtain the grid topology data from the grid geographic information system and dispatching automation system, analyze the electrical connection relationship and safety constraints between various operation steps based on the grid topology data and preset operation rules, and divide the operation steps into irreversible operation steps and reversible operation steps, wherein 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; S3: Collect the real-time status of the equipment and the health status of the target equipment in real time, and standardize the collected plant station and equipment names to ensure consistency with the equipment ledger data; Associate the plant / equipment names extracted from the maintenance ticket with the standard names in the ledger to solve the alias or abbreviation problem; S4: Based on the operation data of the power grid and the health status data of the target equipment, a plurality of feasible operation sequence schemes satisfying preset rules are generated in combination with the irreversible operation steps and the reversible operation steps; S5: Select an expected solution from multiple feasible operation sequence solutions and output it as the corresponding scheduling instruction.

2. A method for intelligently generating a dispatching operation ticket based on power grid maintenance data according to claim 1, characterized in that: The determination conditions of the irreversible operation step in S2 at least include: The operation may cause irreversible changes in the grid topology, involve physical isolation operations in safety arrangements, or affect switching operations in the relay protection setting area.

3. The method for intelligently generating a dispatching operation ticket based on power grid maintenance data according to claim 1 is characterized in that: The reversible operation step in S2 also includes optimization scheduling, 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 demand, or consider the rotation sorting with a balanced number of equipment operations.

4. The method for intelligently generating a dispatching operation ticket based on power grid maintenance data according to claim 1, characterized in that: The S2 further comprises the following steps: Using production rule representation, each operation sequence rule is expressed as "IF〈condition〉THEN〈operation sequence" and stored in the constructed rule base; Each operation rule is assigned preset attributes, including but not limited to priority and confidence.

5. A method for intelligently generating a dispatching operation ticket based on power grid maintenance data according to claim 4, characterized in that: The S4 step includes: S41. Based on the collected power grid operation data and equipment health status data, the preset rules are compared with the real-time collected data to determine whether each operation is executable, and a list of executable operation steps is screened out; S42, generating an operation sequence dependency graph with constraint conditions according to the fixed sequence of the irreversible operation steps and the topological constraints of the reversible operation steps; S43, based on the executable operation step list and the operation sequence dependency graph with constraint conditions, generating an initial candidate solution by using a specified algorithm, wherein the specified algorithm includes but is not limited to a topological sorting algorithm and a backtracking algorithm; S44. Screen the initial candidate solutions according to preset rules to obtain a set of feasible operation sequence solutions.

6. A method for intelligently generating a dispatching operation ticket based on power grid maintenance data according to claim 5, characterized in that: The step S5 also includes a step for evaluating the selection operation sequence, specifically: S411, in the process of generating multiple feasible operation sequence solutions, calculating the target evaluation values ​​of different operation sequences by a multi-objective optimization algorithm; S422: Select the operation sequence plan with the best target evaluation value as the final operation sequence plan to generate an operation ticket.

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

8. The method for intelligently generating a dispatching operation ticket based on power grid maintenance data according to claim 5 is characterized in that: The step S5 further includes: Conduct safety checks on each solution, including but not limited to ensuring that each step does not cause abnormal voltage fluctuations, that the use time of each device does not conflict, and that irreversible operation steps are clearly marked; Iteratively optimize the operation sequence based on the verification results.

9. 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 data includes but is not limited to connection relationships between nodes, line lengths, and transformer ratio information.

10. A system for intelligently generating dispatching operation tickets based on power grid maintenance data, characterized in that: It is implemented based on a method for intelligently generating a dispatching operation ticket based on power grid maintenance data as described in any one of claims 1 to 9, characterized in that it comprises a data receiving module, a data division module, a data acquisition module, a scheme generation module and an operation ticket generation module, wherein the above modules are connected by wired and / or wireless connection to realize data transmission between the modules; The data receiving module is used to receive the maintenance ticket data, obtain the basic operation list corresponding to the task, and sort out all the necessary operation steps in the basic operation list; A data division module, used for dividing the operation steps into irreversible operation steps and reversible operation steps; Data acquisition module, used to collect real-time operation data of the power grid and health status data of target equipment; A scheme generation module generates multiple feasible operation sequence schemes that meet preset rules based on the operation data of the power grid and the health status data of the target equipment combined with the irreversible operation steps and the reversible operation steps; The operation ticket generation module selects the expected scheme from multiple feasible operation sequence schemes and outputs it as the corresponding scheduling instruction.

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