Electrical operation ticket management system and management method

Abstract

The invention discloses an electrical operation ticket management system and method, and the system comprises an AI operation processing module, a central processing module, a safety verification module, and a power flow prediction module, and the AI operation processing module, the safety verification module, and the power flow prediction module are all connected with the central processing module. The AI operation processing module receives input of an instruction and sends the operation instruction to the central processing module, relay protection verification and five-prevention verification are input to the safety verification module, transformer substation telemetering quantity and transformer substation telecommand quantity are transmitted to the power flow prediction module, and the central processing module carries out operation order simulation demonstration and outputs an operation order. According to the method, the operation sequence of a single feeder cabinet can be compiled and verified, systematized operation ticket compilation can be carried out by combining a transformer substation topological structure and real-time power flow of a power system, a relay protection setting value is verified according to requirements, and a plant station model is perfected through AI deep learning on historical data, power flow change, transient quantity collection and the like.

Description

Technical Field

[0001] The present invention relates to electrical operations, and particularly to an electrical operation ticket management system and its management method. Background Art

[0002] As the operation basis for electrical switching operations, electrical operation tickets directly affect the safe and stable operation of the entire power system. Mistakes or irrationalities in switching operations may cause various accident consequences such as casualties, equipment damage, and large-scale power outages.

[0003] Existing electrical operation ticket management systems generally rely on five-prevention measures, namely: (1) preventing mis-opening and mis-closing of circuit breakers; (2) preventing disconnection and connection of disconnectors under load; (3) preventing hanging (closing) of grounding wires (grounding switches) when energized; (4) preventing closing of circuit breakers (disconnectors) with grounding wires (grounding switches) connected; and (5) preventing unauthorized entry into energized intervals. The implementation methods of these steps are traditional mechanical and electrical five-prevention measures, or anti-error alarms with expanded microcomputer five-prevention functions on this basis.

[0004] The existing technologies have the following several disadvantages: First, mechanical five-prevention relies on mechanical locking characteristics. Once the mechanical components age, wear, and the locking fails, the five-prevention locking cannot take effect. Second, electrical five-prevention depends on the integrity of the electrical circuit. Incorrect connection, incorrect modification, or loosening of the secondary locking circuit will cause the five-prevention locking to fail. Third, the main functions of microcomputer five-prevention, such as simulation preview and step verification, have relatively high requirements for the correctness of pre-prepared operation tickets and the knowledge and skill levels of switching operation personnel. In addition to the above three points, their common disadvantage is that the operation tickets do not consider the overall safety of the entire power system, and cannot solve the safety problems such as incorrect cabinet number filling, insufficient load flow analysis, and relay protection coordination during the operation ticket preparation stage. Summary of the Invention

[0005] The present invention provides an electrical operation ticket management system and its management method to solve the problems of poor safety and frequent accidents in electrical switching operations caused by uneven levels of substation operators within an enterprise. The method for managing electrical operation tickets is completed through multiple verifications based on the five-prevention principle, load flow prediction, relay protection, etc., and this process is pre-simulated in a computer to give improvement suggestions or control measures.

[0006] To solve the above technical problems, the technical solution adopted by the present invention is: an electrical operation ticket management system, including an AI operation processing module, a central processing module, a security verification module, and a power flow prediction module. The AI operation processing module, the security verification module, and the power flow prediction module are all connected to the central processing module. The AI operation processing module receives the input of instructions and sends the operation instructions to the central processing module. The relay protection verification and the five-prevention verification are input into the security verification module, and the substation telemetry and the substation tele-signal are transmitted to the power flow prediction module. The central processing module conducts a simulation demonstration of the operation ticket and outputs the operation ticket.

[0007] The AI operation processing module and the security verification module are also connected with AI deep learning for AI deep learning iteration and update. The AI operation processing module and the power flow prediction module are also connected with a substation large model for substation large model iteration and update.

[0008] The management method of an electrical operation ticket management system of the present invention includes the following steps: S01: The operator inputs the switching operation steps or the operation purpose into the operation ticket management system; S02: The system preprocesses and confirms the operation task through the AI operation processing module, converts the natural language into accurate operation instructions, and sends them to the central processing module; S02-1: Whether to add manual review. If so, go to S02-2; otherwise, go to S03; S02-2: Whether the instruction output by the manual review is consistent with the expected operation purpose. If so, go to S03; otherwise, go to S02; S03: The central processing module pre-compiles the operation ticket steps according to the preprocessed operation task, and sends them to the security verification module and the power flow prediction module for security verification and power flow prediction after compilation; S04: The security verification module and the power flow prediction module interact with the central processing module multiple times, finally making the operation ticket steps meet various safety performance requirements, and at the same time making the iteration and update of AI deep learning and the substation large model; S05: Simulate and preview the operation ticket step by step, and output the operation ticket after confirmation.

[0009] In the step S01, if the switching operation steps are directly input, they are selected through the combination of standard statements built into the system; if the operation purpose is selected, the operation purpose or additional requirements are directly described in natural language.

[0010] In the step S03, the interaction between the central processing module and the security verification module includes three aspects: five-prevention verification, relay protection verification, and AI deep learning; the interaction between the central processing module and the power flow prediction module includes three aspects: substation tele-signal, substation telemetry, and substation large model.

[0011] The electrical operation ticket management system and its management method designed by the present invention adopting the above technical solutions have the following beneficial effects compared with the prior art: 1. It does not rely on mechanical or electrical five-prevention, avoiding the situation where the five-prevention fails due to characteristic aging or improper maintenance; 2. The system avoids the occurrence of personal injury caused by the inability to alarm when the traditional five-prevention fails; 3. Through multiple security verifications, it ensures the correctness of the operation ticket steps, without relying on the pre-prepared correctness of the operation ticket and the knowledge and skill levels of the switching operators; 4. Through power flow prediction, relay protection verification, AI-assisted verification and simulation rehearsal, it not only verifies the safety of the steps of a single cabinet mechanism, but also conducts an overall analysis from the entire power system, and maximally excludes the influence of human behavior to ensure intrinsic safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 It is a schematic block diagram showing the structure of an electrical operation ticket management system of the present invention; Figure 2 It is a schematic flow diagram showing the management method of an electrical operation ticket management system of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0013] The following specifically describes an electrical operation ticket management system and its management method of the present invention with reference to the drawings.

[0014] An electrical operation ticket management system of the present invention, see Figure 1 An electrical operation ticket management system includes an AI operation processing module M01, a central processing module M02, a security verification module M03, and a power flow prediction module M04. The AI operation processing module M01, the security verification module M03, and the power flow prediction module M04 are all connected to the central processing module M02. The AI operation processing module M01 receives the input of instructions and sends the operation instructions to the central processing module M02. The relay protection verification and the five-prevention verification are input into the security verification module M03, and the substation remote measurement and the substation remote signaling are sent to the power flow prediction module M04. The central processing module M02 conducts an operation ticket simulation demonstration and outputs the operation ticket. The AI operation processing module M01 and the security verification module M03 are also connected with AI deep learning for AI deep learning iteration and update. The AI operation processing module M01 and the power flow prediction module M04 are also connected with a substation large model for substation large model iteration and update.

[0015] The management method of an electrical operation ticket management system of the present invention, see Figure 2 includes the following steps: S01: The operator inputs the switching operation steps or operation purpose into the operation ticket management system; (1) If directly inputting the switching operation steps, select through the built-in standard statement combinations of the system, such as

Disconnect

Close

Name (tag number) equipment

Earthing switch

Circuit breaker

[0016] S02: The system preprocesses and confirms the operation task through the AI operation processing module, converts the natural language into accurate operation instructions, and sends them to the central processing module; In this step, the system processes and confirms according to the instructions input in step S01. When necessary, a graphical simulation operation animation is given to facilitate visual confirmation by unskilled operators and ensure the consistency of the operation purpose.

[0017] S02-1: Whether to add manual review. If added, go to S02-2; otherwise, go to S03; S02-2: Whether the instruction output by manual review is consistent with the expected operation purpose. If consistent, go to S03; otherwise, go to S02.

[0018] S03: The central processing module pre-compiles the operation ticket steps according to the preprocessed operation task, and sends them to the safety verification module and the power flow prediction module for safety verification and power flow prediction; (1) In this step, the interaction between the central processing module and the safety verification module includes three aspects: five-prevention verification, relay protection verification, and AI deep learning: ① Five-prevention verification. Based on the digital embodiment of the electrical five-prevention principle, according to the known remote signal states of each circuit breaker, disconnector, and earthing switch, and in combination with the previously pre-compiled operation ticket steps, conduct five-prevention comparison one by one to confirm whether it meets the five-prevention requirements. If not, send an application to the M02 module for modification; ② Relay protection verification. Through the acquisition of the setting values of each microcomputer protection device in the substation, compare the possible changes in analog quantities in the pre-constructed operation steps with the relay protection setting values of each device involved in the operation to verify the possibility of relay protection action in each step of the operation. At the same time, for the problems occurring during the verification, the system analyzes the unreasonable points of the relay protection settings based on the substation large model; ③AI deep learning. Using technologies such as expert systems, artificial neural networks, fuzzy logic, machine learning, game theory, and genetic algorithms, identify potential hazards in operating tasks, and have the safety verification of operation tickets based on the dual prevention system originally performed by humans carried out by AI. Its function implementation includes ETA (Event Tree Analysis) and FTA (Fault Tree Analysis). Through AI combined with the substation large model, perform ETA on electrical equipment involved in operations, analyze possible risks in each operation step, and based on the prior FTA, repeatedly compare and analyze the state parameters of key operation steps and key equipment where danger may occur to conduct comprehensive safety verification.

[0019] (2) In this step, the interaction between the central processing module and the power flow prediction module includes three aspects: substation telemetry signals, substation remote measurements, and substation large models. ① Substation telemetry signals. Centralized collection of various telemetry signals such as circuit breakers, disconnectors, load switches, and various protection alarm dry contacts throughout the station. Depending on the server load capacity, telemetry signals outside the station may be included when necessary, which is beneficial to improving the accuracy of the substation large model.

[0020] ② Substation remote measurements. Centralized collection of electrical remote measurements such as phase voltages at each node of the whole station, phase currents in each circuit, voltage-current phase, and power, and access non-electrical data such as temperature, pressure, sound wave, light sense, and odor collected by various intelligent terminals. Depending on the server load capacity, remote measurements outside the station may be included when necessary, which is beneficial to improving the accuracy of the substation large model.

[0021] ③ Substation large model. According to the pre-compiled system topology diagram, combined with the collection of telemetry and telemetry signals of each node, circuit, isolation, circuit breaker, etc. in actual operation, convert the pre-compiled system topology diagram into an initial circuit diagram model that can be analyzed and calculated. By constructing an AI-driven intelligent scientific computing system, develop a pre-trained large model for the power system to support research on the evolution law of the new power system, generation and optimization of system planning schemes and operation modes, online safety analysis, etc. These large models can be integrated into power flow calculations to provide more accurate predictions and decision-making support.

[0022] (3) The power flow prediction analysis based on the AI function can be summarized as follows: ① Through the learning model of the deep neural network, analyze and calculate the variable topology power grid, and quickly solve the power flow values of power grids with any topological structure where the number of nodes is no more than n, and apply it to the N-1 safety verification in the power system. Compared with the traditional method, there is no situation of non-convergence.

[0023] ② The application of the expert system can simulate the operation knowledge and experience of experts. Based on historical data and the rule base, it can automatically analyze the power flow prediction of the system under the condition that each step of the pre-compiled operation ticket is carried out, and provide decision support.

[0024] ③ At the same time, the artificial neural network technology can simulate the human brain neurons to establish a neural network system composed of interconnected modular components of the power system. Relying on this system, it can analyze and process massive data. The neural network system also has the ability of self-learning, can conduct online learning and associative memory on real-time data, and realizes comprehensive support for the power flow prediction of the pre-compiled operation ticket, avoiding the occurrence of operation risks.

[0025] S04: The safety verification module and the power flow prediction module interact with the central processing module multiple times, finally making the operation ticket steps meet various safety performance requirements, and at the same time enabling the iteration and update of AI deep learning and the substation large model; During continuous operation and operation, the AI technology is used to iterate, upgrade and update the initial circuit diagram model, which is used to feed back the AI module as the basic framework for ETA, FTA analysis, power flow analysis, etc. in step S03.

[0026] S05: Simulate and rehearse the operation ticket step by step, and output the operation ticket after confirmation. The system will use the substation large model and AI technology to simulate each step in the operation ticket. This includes predicting the impact of the operation steps and evaluating possible risks and consequences. During the simulation process, the system will evaluate the potential risks of each step and propose corresponding preventive measures. This helps to identify and solve potential problems before actual operation. After the simulation rehearsal, the system will provide a rehearsal report, including the execution of the operation steps and any problems found. The operator can make a final confirmation and necessary corrections to the operation ticket according to the report. Once the operation ticket passes the simulation rehearsal and gets the final confirmation, the system will output the operation ticket for the operator to execute.

[0027] The safety verification implemented by the present invention based on multiple methods has high reliability. It can not only compile and verify the operation sequence of a single feeder cabinet, but also systematically compile the operation ticket in combination with the substation topology structure and the real-time power flow of the power system. It can judge whether the circulating power and the distributed power of the loop closing operation exceed the limit according to the power flow prediction and relay protection setting value after the preset operation, modify the operation steps, verify the relay protection setting value according to the actual operation requirements, give modification suggestions, and improve the substation model through the deep learning of the AI operation processing module for historical data, power flow changes, transient quantity acquisition, etc.

Claims

1. An electrical operation ticket management system, characterized in that It includes an AI operation and processing module, a central processing module, a safety verification module, and a power flow prediction module. The AI ​​operation and processing module, the safety verification module, and the power flow prediction module are all connected to the central processing module. The AI ​​operation and processing module accepts the input of instructions and sends the operation instructions to the central processing module. The relay protection verification and the five-defense verification are input to the safety verification module. The substation telemetry and the substation telesignal are transmitted to the power flow prediction module. The central processing module performs an operation ticket simulation demonstration and outputs the operation ticket.

2. According to claim 1, an electrical operation ticket management system is characterized in that The AI ​​operation processing module and the safety verification module are also connected with AI deep learning for iteration and updating of AI deep learning. The AI ​​operation processing module and the flow prediction module are also connected with a large substation model for iteration and updating of the large substation model.

3. A management method for an electrical operation ticket management system, characterized in that The following steps are involved: S01: The operator inputs the switching operation steps or operation purpose into the operation ticket management system; S02: The system pre-processes and confirms the operation task through the AI ​​operation processing module, converts the natural language into accurate operation instructions, and sends them to the central processing module; S02-1: whether to add manual review, if yes, go to S02-2, otherwise go to S03; S02-2: Manually check whether the output instruction is consistent with the expected operation purpose. If it is consistent, go to S03, otherwise go to S02; S03: The central processing module pre-compiles the operation ticket steps according to the pre-processed operation tasks, and sends them to the safety verification module and the power flow prediction module for safety verification and power flow prediction after compilation; S04: The safety verification module and the power flow prediction module interact with the central processing module multiple times, ultimately making the operation ticket steps meet various safety performance requirements, while also enabling the iteration and update of AI deep learning and substation large models; S05: Simulate and rehearse the operation ticket step by step, and output the operation ticket after confirmation.

4. A management method for an electrical operation ticket management system according to claim 3, characterized in that In step S01, if you choose to directly input the switching operation steps, you can select through the system built-in standard sentence combination; if you choose to input the operation purpose, you can directly describe the operation purpose or additional requirements in natural language.

5. The management method of an electrical operation ticket management system according to claim 3 is characterized in that In step S03, the interaction between the central processing module and the safety verification module includes three aspects: five-defense verification, relay protection verification, and AI deep learning; the interaction between the central processing module and the flow prediction module includes three aspects: substation telesignal quantity, substation telemetry, and substation large model.

Images