CN116739550A - Intelligent auxiliary decision-making method and system for rush repair - Google Patents
Intelligent auxiliary decision-making method and system for rush repair Download PDFInfo
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Abstract
The invention discloses an intelligent auxiliary decision-making method and system for emergency repair, which are characterized in that related information of fault equipment in a power distribution network is obtained through a data acquisition module, a solid model library is established through a modeling module, fault analysis and power supply risk analysis are carried out on the fault model through an intelligent analysis module, finally, the fault recovery auxiliary decision-making model is fused into the fault model to operate, if the fault is eliminated after operation, a decision-making module makes an emergency repair decision-making scheme, a power supply risk operation model is fused into a power distribution network system to operate, the operation stability of the power supply risk operation model is evaluated, if the operation stability is evaluated to be unstable, operation instability factors are required to be analyzed, an optimization scheme is formulated, and the optimization scheme is combined into the emergency repair decision-making scheme to obtain a final emergency repair decision.
Description
Technical Field
The invention belongs to the technical field of power distribution network emergency repair, and particularly relates to an intelligent auxiliary decision-making method and system for emergency repair.
Background
Along with the improvement of the power supply reliability requirement of the power consumer on the distribution network, the research of the reinforced power distribution network fault recovery auxiliary decision-making technology has stronger necessity, the fault power failure time of the power distribution network can be obviously shortened, and the conceptual benefit of power enterprises is improved. The first-aid repair auxiliary decision is to construct a decision-related knowledge base and a policy analysis model base by taking a first-aid repair power distribution network decision as the center of gravity and taking an Internet search technology, an information intelligent processing technology and a natural language processing technology as the basis, so as to provide omnibearing and multi-level decision support and knowledge service for the first-aid repair power distribution decision.
Through retrieval, the application number of the Chinese patent document is 201910499688.5, and a distribution network emergency repair auxiliary decision and intelligent management and control system is disclosed, wherein the system comprises a data acquisition module, a data storage module, a fault judging and diagnosing module, an emergency repair dispatching module and an emergency repair dynamic visualization module; aiming at information interaction and fusion, the invention solves the problems of rapid and accurate fault positioning, rush repair resource scheduling optimization and the like; the intelligent search positioning, fault repair and recovery technology of the resource research distribution network faults in all aspects are fully mobilized, the fault repair time is reasonably arranged, the fault repair strategy and scheme are scientifically formulated, the fault repair efficiency is improved, the fault repair cost is effectively reduced, and the establishment of a sound fault repair comprehensive management system is facilitated, so that the basic management level of power grid repair and operation is improved.
But this system still has the following drawbacks:
the system only analyzes the fault equipment generally, and does not evaluate and analyze the power supply risk, so that the fault analysis is not complete enough to cause incomplete fault rush repair and influence the service life of the normal operation of the equipment, and therefore, an intelligent rush repair auxiliary decision-making method and system are required to be provided to solve the problems.
Disclosure of Invention
The invention aims to provide an intelligent auxiliary decision-making method and system for rush-repair, which can comprehensively analyze a power distribution network system by analyzing and evaluating power supply risks besides fault analysis of fault equipment, so that the fault rush-repair is thorough to a certain extent, the service life of the normal operation of the equipment is prolonged, and the problems in the background technology are solved.
In order to achieve the above purpose, the invention adopts the following technical scheme:
an intelligent auxiliary decision-making method for rush repair comprises the following steps:
s1, acquiring the position, voltage and current values and equipment fault information of fault equipment in a power distribution network system through a data acquisition module, and transmitting the data to a modeling module;
s2, after receiving the position, voltage and current data of the fault equipment and equipment fault information, the modeling module establishes a solid model library to obtain a fault model;
s3, respectively carrying out fault analysis and power supply risk analysis on the fault model through an intelligent analysis module, establishing a fault recovery auxiliary decision model according to a fault analysis result, and establishing a power supply risk operation model according to a power supply risk analysis result;
s4, integrating the fault recovery auxiliary decision model into the fault model for operation, if the fault is eliminated after operation, making a rush repair decision scheme by the decision making module according to the fault recovery auxiliary decision model, and if the fault is not eliminated after operation, repeating S3;
s5, integrating the power supply risk operation model into a power distribution network system for operation, evaluating the operation stability of the power supply risk operation model, if the operation stability is evaluated to be stable, determining the rush-repair decision made in S4 as a final decision, if the operation stability is evaluated to be unstable, analyzing operation instability factors, making an optimization scheme, and combining the optimization scheme into the rush-repair decision scheme in S4 to obtain the final rush-repair decision.
Preferably, the data acquisition module comprises an equipment information acquisition unit, a voltage acquisition unit and a current acquisition unit, and the equipment information acquisition unit, the voltage acquisition unit and the current acquisition unit are electrically connected with the modeling module.
Preferably, the equipment information acquisition unit comprises a vacuum contactor, a monitoring terminal, an installation parallel medium resistor and a voltage transformer, wherein the vacuum contactor, the monitoring terminal, the installation parallel medium resistor and the voltage transformer are installed in a transformer substation, an switching station and a power distribution station of the power distribution network system, the installation mode is that the installation parallel medium resistor is firstly installed between a transformer neutral point and a ground wire of the transformer substation, then the vacuum contactor is connected in series on the parallel medium resistor branch, the monitoring terminal is installed at a monitoring node of the transformer substation, the switching station and the power distribution station, and the voltage transformer is connected in parallel on the monitoring node of the transformer substation, the switching station and the power distribution station.
Preferably, the voltage acquisition unit comprises a voltage monitor, the current acquisition unit comprises a current monitor, and the voltage monitor and the current monitor are respectively connected to the power output end of the fault equipment.
Preferably, the modeling module fuses the position data and the fault information of the fault equipment with the service data of the corresponding power supply equipment to form training features, forms training data according to the training features, establishes a simulation training model according to the current and voltage data, and fuses the training data in the simulation training model to form the fault model.
Preferably, the intelligent analysis module comprises a fault analysis unit, a power supply risk analysis unit and a control unit, wherein the control unit is respectively and electrically connected with the fault analysis unit and the power supply risk analysis unit.
Preferably, the fault analysis unit comprises a comprehensive fault analysis module, a power failure range analysis module and a power failure load transfer module, wherein the comprehensive fault analysis module is equipment for positioning faults according to protection signals, item information, switch tripping and telemetry information; the power outage range analysis module is used for finding out power outage equipment and range according to network topology searching and counting loss load conditions; the power failure load transfer module analyzes the influence load according to given target equipment and transfers the influence load to a new power supply point safely.
Preferably, the power supply risk analysis unit comprises a loop closing risk analysis module, a monitoring module, an overload risk analysis module and a brake-off electricity limiting module, wherein the loop closing risk analysis module performs calculation analysis on loop closing operation in a specified mode and obtains a conclusion, and the loop closing risk analysis module comprises loop closing path topology searching and checking, loop closing steady-state current and impact current calculation, loop N-1 safety analysis and interruption capacity scanning, and performs risk assessment on loop closing operation by combining the calculation analysis result; the switching-off limiting power module automatically calculates a load switch number set to be cut off according to the switch priority and provides a switching-off operation table for remote control operation according to the established accident switching-off sequence table or the limit power Lu Xu table in a manual starting mode of a dispatcher and the total load information input by a user.
Preferably, the judging mode of the running stability of the power supply risk running model in the power distribution network system is to confirm whether the current voltage of the power supply voltage can be stably output in the running process of the power distribution network, if the current and the voltage of the power distribution network run are 0.5% of the standard voltage and the current, the running stability is judged, and if the current and the voltage of the power distribution network run are 0.5% of the standard voltage and the current, the running instability is judged.
Based on the above-mentioned first-aid repair intelligent auxiliary decision-making method, the invention also provides a first-aid repair intelligent auxiliary decision-making system, which comprises a data acquisition module, a modeling module, an intelligent analysis module and a decision-making module, wherein the data acquisition module is electrically connected with the modeling module, the modeling module is electrically connected with the intelligent analysis module, and the intelligent analysis module is electrically connected with the decision-making module.
Compared with the prior art, the intelligent auxiliary decision-making method and system for rush repair provided by the invention have the following advantages:
1. according to the invention, the position, voltage and current values of fault equipment and equipment fault information in a power distribution network system are obtained through a data acquisition module, a solid model library is established through a modeling module, fault analysis and power supply risk analysis are carried out on the fault model through an intelligent analysis module, wherein a fault recovery auxiliary decision-making model is established according to a fault analysis result, a power supply risk operation model is established according to a power supply risk analysis result, finally the fault recovery auxiliary decision-making model is integrated into the fault model for operation, if the fault is eliminated after operation, a decision-making module makes a first-aid repair decision-making scheme, the power supply risk operation model is integrated into the power distribution network system for operation, the operation stability of the power supply risk operation model is evaluated, if the operation stability is evaluated to be unstable, an operation instability factor is required to be analyzed, an optimization scheme is formulated, the optimization scheme is combined into the first-aid repair decision-making scheme for obtaining a final first-aid repair decision, and the power supply risk is evaluated and analyzed through the fault analysis of the fault equipment, so that the power distribution network system can be comprehensively analyzed, the fault is thoroughly and the service life of normal operation of the equipment is prolonged to a certain extent.
2. According to the invention, through the cooperation of the data acquisition module, the modeling module, the intelligent analysis module and the decision making module, intelligent decision assistance can be carried out when the power distribution network system faults are first-aid repaired, the feasibility of a first-aid repair decision scheme is improved, and the power distribution network system faults are thoroughly first-aid repaired to a certain extent.
Drawings
FIG. 1 is a flow chart of the present invention;
fig. 2 is a system block diagram of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. The specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention provides an intelligent auxiliary decision-making method for rush repair, which is shown in figure 1, and comprises the following steps:
s1, acquiring the position, voltage and current values and equipment fault information of fault equipment in a power distribution network system through a data acquisition module, and transmitting the data to a modeling module;
the data acquisition module comprises an equipment information acquisition unit, a voltage acquisition unit and a current acquisition unit, and the equipment information acquisition unit, the voltage acquisition unit and the current acquisition unit are electrically connected with the modeling module.
The equipment information acquisition unit comprises a vacuum contactor, a monitoring terminal, an installation parallel connection middle resistor and a voltage transformer, wherein the vacuum contactor, the monitoring terminal, the installation parallel connection middle resistor and the voltage transformer are installed on a transformer substation, an switching station and a power distribution station of a power distribution network system, the installation mode is that the installation parallel connection middle resistor is firstly installed between a transformer neutral point and a ground wire of the transformer substation, then the vacuum contactor is connected in series on the parallel connection middle resistor branch, the monitoring terminal is installed on a monitoring node of the transformer substation, the switching station and the power distribution station, and the voltage transformer is connected in parallel on the monitoring node of the transformer substation, the switching station and the power distribution station.
The voltage acquisition unit comprises a voltage monitor, the current acquisition unit comprises a current monitor, and the voltage monitor and the current monitor are respectively connected to the power output end of the fault equipment.
S2, after receiving the position, voltage and current data of the fault equipment and equipment fault information, the modeling module establishes a solid model library to obtain a fault model;
the modeling module fuses the position data and the fault information of the fault equipment with the service data of the corresponding power supply equipment to form training features, forms training data according to the training features, establishes a simulation training model according to the current and voltage data, and fuses the training data in the simulation training model to form the fault model.
S3, respectively carrying out fault analysis and power supply risk analysis on the fault model through an intelligent analysis module, establishing a fault recovery auxiliary decision model according to a fault analysis result, and establishing a power supply risk operation model according to a power supply risk analysis result;
the intelligent analysis module comprises a fault analysis unit, a power supply risk analysis unit and a control unit, wherein the control unit is respectively and electrically connected with the fault analysis unit and the power supply risk analysis unit.
The fault analysis unit comprises a comprehensive fault analysis module, a power failure range analysis module and a power failure load transfer module, wherein the comprehensive fault analysis module is equipment for positioning faults according to protection signals, item information, switch tripping and telemetering information; the power outage range analysis module is used for finding out power outage equipment and range according to network topology searching and counting loss load conditions; the power failure load transfer module analyzes the influence load according to given target equipment and transfers the influence load to a new power supply point safely.
The power supply risk analysis unit comprises a loop closing risk analysis module, a monitoring module, an overload risk analysis module and a brake-off limit module, wherein the loop closing risk analysis module performs calculation analysis on loop closing operation in a specified mode and obtains a conclusion, and the loop closing risk analysis module comprises loop closing path topology searching and checking, loop closing steady-state current and impact current calculation, loop N-1 safety analysis and breaking capacity scanning, and performs risk assessment on the loop closing operation by combining the calculation analysis result; the monitoring module performs relevant analysis and judgment through network topology and real-time data, comprehensively discriminates, judges, analyzes and classifies risks possibly appearing according to the characteristics of some common risks and custom risks and the risk triggering conditions and requirements, and gives out accurate and comprehensive prompts; if the overload load risk analysis module is used for analyzing the overload of the transformer, the overhauled transformer is simulated to exit the operation, then load flow calculation is carried out to judge whether the transformer which runs in parallel with the overhauling equipment is overloaded, if the transformer is overloaded, an overload scheme is given, weak equipment is determined, the weak equipment principle is that single-change and single-line equipment which is newly added after the overhauling equipment exits the operation is adopted, a transfer scheme is formulated according to the overhauling equipment, the determined overload scheme and the weak equipment, and the final risk level is determined after the overload scheme, the weak equipment and the transfer scheme are determined; the switching-off limiting power module automatically calculates a load switch number set to be cut off according to the switch priority and provides a switching-off operation table for remote control operation according to the established accident switching-off sequence table or the limit power Lu Xu table in a manual starting mode of a dispatcher and the total load information input by a user.
S4, integrating the fault recovery auxiliary decision model into the fault model for operation, if the fault is eliminated after operation, making a rush repair decision scheme by the decision making module according to the fault recovery auxiliary decision model, and if the fault is not eliminated after operation, repeating S3;
s5, integrating the power supply risk operation model into a power distribution network system for operation, evaluating the operation stability of the power supply risk operation model, if the operation stability is evaluated to be stable, determining the rush-repair decision made in S4 as a final decision, if the operation stability is evaluated to be unstable, analyzing operation instability factors, making an optimization scheme, and combining the optimization scheme into the rush-repair decision scheme in S4 to obtain the final rush-repair decision;
the judging mode of the running stability of the power supply risk running model in the power distribution network system is to confirm whether the current voltage of the power supply voltage can be stably output in the running process of the power distribution network, if the current and the voltage amplitude of the power distribution network run are positive and negative 0.5% of the standard voltage and the current, the running stability is judged, if the current and the voltage amplitude of the power distribution network run are more than 0.5% of the standard voltage and the current, the running instability is judged, and the standard voltage and the current of the power distribution network run are judged according to the working voltage and the working current of the power distribution network in normal running.
Based on the above-mentioned intelligent auxiliary decision-making method for rush-repair, the invention also provides an intelligent auxiliary decision-making system for rush-repair, as shown in fig. 2, which comprises a data acquisition module, a modeling module, an intelligent analysis module and a decision-making module, wherein the data acquisition module is electrically connected with the modeling module, the modeling module is electrically connected with the intelligent analysis module, the intelligent analysis module is electrically connected with the decision-making module, and the data acquisition module is used for acquiring and transmitting the position, voltage and current values and equipment fault information of fault equipment in the power distribution network system; the modeling module is used for establishing a solid model library, the intelligent analysis module is used for carrying out power supply risk analysis of fault analysis on the fault model, and then an auxiliary fault recovery decision-making model and a power supply risk operation model are respectively established according to analysis results; the decision making module is used for operating the fault recovery auxiliary decision making model and the power supply risk operation model, carrying out fault scheme feasibility evaluation and operation stability evaluation, and making a final rush repair decision according to an evaluation result.
In summary, the position, the voltage and the current values of fault equipment and the equipment fault information in the power distribution network system are obtained through the data acquisition module, a solid model library is built through the modeling module, fault analysis and power supply risk analysis are carried out on the fault model through the intelligent analysis module, wherein a fault recovery auxiliary decision-making model is built according to the fault analysis result, a power supply risk operation model is built according to the power supply risk analysis result, finally, the fault recovery auxiliary decision-making model is fused into the fault model for operation, if the fault is eliminated after operation, the decision-making module makes a first-aid repair decision-making scheme, fuses the power supply risk operation model into the power distribution network system for operation, and evaluates the operation stability of the power supply risk operation model, if the operation stability is evaluated to be unstable, the operation instability factor is required to be analyzed, an optimization scheme is formulated, the optimization scheme is combined into the first-aid repair decision-making scheme for obtaining a final first-aid repair decision, the power supply risk is evaluated and analyzed besides the fault analysis of the fault equipment, the power distribution network system can be comprehensively analyzed, the fault is thoroughly repaired to a certain extent, and the service life of normal operation of the equipment is prolonged.
Finally, it should be noted that: the foregoing description is only illustrative of the preferred embodiments of the present invention, and although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described, or equivalents may be substituted for elements thereof, and any modifications, equivalents, improvements or changes may be made without departing from the spirit and principles of the present invention.
Claims (10)
1. An intelligent auxiliary decision-making method for rush repair is characterized by comprising the following steps of: the method comprises the following steps:
s1, acquiring the position, voltage and current values and equipment fault information of fault equipment in a power distribution network system through a data acquisition module, and transmitting the data to a modeling module;
s2, after receiving the position, voltage and current data of the fault equipment and equipment fault information, the modeling module establishes a solid model library to obtain a fault model;
s3, respectively carrying out fault analysis and power supply risk analysis on the fault model through an intelligent analysis module, establishing a fault recovery auxiliary decision model according to a fault analysis result, and establishing a power supply risk operation model according to a power supply risk analysis result;
s4, integrating the fault recovery auxiliary decision model into the fault model for operation, if the fault is eliminated after operation, making a rush repair decision scheme by the decision making module according to the fault recovery auxiliary decision model, and if the fault is not eliminated after operation, repeating S3;
s5, integrating the power supply risk operation model into a power distribution network system for operation, evaluating the operation stability of the power supply risk operation model, if the operation stability is evaluated to be stable, determining the rush-repair decision made in S4 as a final decision, if the operation stability is evaluated to be unstable, analyzing operation instability factors, making an optimization scheme, and combining the optimization scheme into the rush-repair decision scheme in S4 to obtain the final rush-repair decision.
2. The method for intelligently assisting decision-making for rush repair according to claim 1, wherein the method comprises the following steps of: the data acquisition module comprises an equipment information acquisition unit, a voltage acquisition unit and a current acquisition unit, and the equipment information acquisition unit, the voltage acquisition unit and the current acquisition unit are electrically connected with the modeling module.
3. The method for intelligently assisting decision-making for rush repair according to claim 2, wherein the method comprises the following steps of: the equipment information acquisition unit comprises a vacuum contactor, a monitoring terminal, an installation parallel connection middle resistor and a voltage transformer, wherein the vacuum contactor, the monitoring terminal, the installation parallel connection middle resistor and the voltage transformer are installed on a transformer substation, an switching station and a power distribution station of a power distribution network system, the installation mode is that the installation parallel connection middle resistor is firstly installed between a transformer neutral point and a ground wire of the transformer substation, then the vacuum contactor is connected in series on the parallel connection middle resistor branch, the monitoring terminal is installed on a monitoring node of the transformer substation, the switching station and the power distribution station, and the voltage transformer is connected in parallel on the monitoring node of the transformer substation, the switching station and the power distribution station.
4. The method for intelligently assisting decision-making for rush repair according to claim 2, wherein the method comprises the following steps of: the voltage acquisition unit comprises a voltage monitor, the current acquisition unit comprises a current monitor, and the voltage monitor and the current monitor are respectively connected to the power output end of the fault equipment.
5. The method for intelligently assisting decision-making for rush repair according to claim 1, wherein the method comprises the following steps of: the modeling module fuses the position data and the fault information of the fault equipment with the service data of the corresponding power supply equipment to form training features, forms training data according to the training features, establishes a simulation training model according to the current and voltage data, and fuses the training data in the simulation training model to form the fault model.
6. The method for intelligently assisting decision-making for rush repair according to claim 1, wherein the method comprises the following steps of: the intelligent analysis module comprises a fault analysis unit, a power supply risk analysis unit and a control unit, wherein the control unit is respectively and electrically connected with the fault analysis unit and the power supply risk analysis unit.
7. The method for intelligently assisting decision-making for rush repair according to claim 6, wherein the method comprises the following steps: the fault analysis unit comprises a comprehensive fault analysis module, a power failure range analysis module and a power failure load transfer module, wherein the comprehensive fault analysis module is equipment for positioning faults according to protection signals, item information, switch tripping and telemetering information; the power outage range analysis module is used for finding out power outage equipment and range according to network topology searching and counting loss load conditions; the power failure load transfer module analyzes the influence load according to given target equipment and transfers the influence load to a new power supply point safely.
8. The method for intelligently assisting decision-making for rush repair according to claim 7, wherein the method comprises the following steps: the power supply risk analysis unit comprises a loop closing risk analysis module, a monitoring module, an overload risk analysis module and a brake-off limit module, wherein the loop closing risk analysis module performs calculation analysis on loop closing operation in a specified mode and obtains a conclusion, and the loop closing risk analysis module comprises loop closing path topology searching and checking, loop closing steady-state current and impact current calculation, loop N-1 safety analysis and breaking capacity scanning, and performs risk assessment on the loop closing operation by combining the calculation analysis result; the switching-off limiting power module automatically calculates a load switch number set to be cut off according to the switch priority and provides a switching-off operation table for remote control operation according to the established accident switching-off sequence table or the limit power Lu Xu table in a manual starting mode of a dispatcher and the total load information input by a user.
9. The method for intelligently assisting decision-making for rush repair according to claim 8, wherein the method comprises the following steps of: the judging mode of the running stability of the power supply risk running model in the power distribution network system is to confirm whether the current voltage of the power supply voltage can be stably output in the running process of the power distribution network, if the current and the voltage amplitude of the power distribution network run are positive and negative 0.5% of the standard voltage and the current, the running stability is judged, and if the current and the voltage amplitude of the power distribution network exceed 0.5% of the standard voltage and the current, the running stability is judged.
10. An intelligent aid decision making system for rush repair based on the method for the intelligent aid decision making for rush repair according to any one of claims 1 to 9, which is characterized in that: the intelligent analysis system comprises a data acquisition module, a modeling module, an intelligent analysis module and a decision making module, wherein the data acquisition module is electrically connected with the modeling module, the modeling module is electrically connected with the intelligent analysis module, and the intelligent analysis module is electrically connected with the decision making module.
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| CN117370872A (en) * | 2023-12-07 | 2024-01-09 | 国网江苏省电力有限公司南通供电分公司 | Optimizing control method and device for power equipment |
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