CN116362561A - Centralized control station operation auxiliary decision-making method based on big data - Google Patents
Centralized control station operation auxiliary decision-making method based on big data Download PDFInfo
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- CN116362561A CN116362561A CN202310313824.3A CN202310313824A CN116362561A CN 116362561 A CN116362561 A CN 116362561A CN 202310313824 A CN202310313824 A CN 202310313824A CN 116362561 A CN116362561 A CN 116362561A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention provides a centralized control station operation auxiliary decision-making method based on big data, which comprises the steps of scanning and acquiring parameter monitoring information of each system of a centralized control station in real time, and preprocessing the acquired parameter monitoring information; identifying and analyzing the preprocessed parameter monitoring information; when abnormal parameter information or fault parameter information is acquired, matching and acquiring a corresponding operation auxiliary decision strategy; and sending the acquired operation auxiliary decision strategy and the associated auxiliary information thereof to the user terminal. According to the invention, the acquired parameter monitoring information is preprocessed, then identified and analyzed, and the corresponding operation auxiliary decision strategy is matched according to the analysis result, so that an on-duty person or a field detector can deal with the parameter monitoring information according to the operation auxiliary decision strategy, and monitor and analyze a large amount of data by a professional are replaced, so that excessive dependence on expert manpower is avoided, manpower is liberated, and efficiency is improved.
Description
Technical Field
The invention relates to the field of power grids, in particular to a centralized control station operation auxiliary decision-making method based on big data.
Background
Centralized control stations are an important part of the operation of the power grid. The centralized control station system is established between the dispatching system and the transformer substation, is an automatic system for centralized monitoring and management of a plurality of unattended transformer substations, stands on the level of a local power grid, and performs higher-level comprehensive control and management on the transformer substations under jurisdiction. Besides the remote SCADA function, the method can utilize various collected detail information to carry out decision analysis and processing, is good at processing detail problems, and is a front-stage intelligent information processing node of the regional dispatching automation system.
The number of the state quantity information of the power grid is increased sharply, and the whole knowledge of the power grid is not easy to obtain from a large amount of data. After the power grid is abnormal, alarming information is complex and various, a mode of manually analyzing to infer and decide is often adopted, fault diagnosis and processing mainly depend on operation experience of regulation and control personnel, the operation experience is limited by the content of the alarming information, effective auxiliary data or information is lacking, misjudgment and missed judgment are easy to occur, and technical support for scientific and quantitative judgment and plan decision of power grid fault diagnosis is lacking. In addition, the general alarm monitoring software mainly judges the running state of the power grid by monitoring the running state of a single object, the judging basis is single, the running state of the power grid is inferred by comprehensively analyzing the alarm information of each monitored object manually, the fault misinformation and the fault missing report condition exist, the fault position and the fault severity are difficult to accurately judge according to the information, and a long time is often required for fault processing.
Disclosure of Invention
In order to solve the problems in the background technology, the invention provides a centralized control station operation auxiliary decision-making method based on big data.
The operation auxiliary decision-making method of the centralized control station based on big data comprises the steps of scanning and acquiring parameter monitoring information of each system of the centralized control station in real time, and preprocessing the acquired parameter monitoring information; identifying and analyzing the preprocessed parameter monitoring information; when abnormal parameter information or fault parameter information is acquired, matching and acquiring a corresponding operation auxiliary decision strategy; and sending the acquired operation auxiliary decision strategy and the associated auxiliary information thereof to the user terminal.
Based on the above, when the obtained parameter monitoring information is preprocessed, unified identification expansion is performed on the obtained parameter monitoring information of each system of the centralized control station.
Based on the above, the identification extension information at least includes information source system identification information, information source equipment identification information, and information source location identification information of the monitoring parameter.
Based on the above, when the preprocessed parameter monitoring information is identified and analyzed, the obtained parameter monitoring information is identified according to the identification extension information of the obtained parameter monitoring information, then the obtained parameter monitoring information is compared with the corresponding standard parameter information for analysis, and the type and the numerical range of the abnormality of the obtained parameter monitoring information relative to the standard parameter information are determined according to the analysis result.
Based on the above, the operation aid decision strategy includes abnormality or fault cause analysis information, coping solution strategy information, and coping operation guide information.
Based on the above, the auxiliary information associated with the operation auxiliary decision strategy includes the formulator information and the contact information of the operation auxiliary decision strategy.
Based on the above, a shared decision library is established and configured to store the operation auxiliary decision strategy, and after a new operation auxiliary decision strategy is added, the new operation auxiliary decision strategy is actively updated and added to different centralized control stations, and associated auxiliary information is adaptively added according to different centralized control stations.
Based on the above, when the operation auxiliary decision strategy corresponding to the matching is not obtained, the alarm reminding is directly carried out to the user terminal.
Compared with the prior art, the invention has outstanding substantive characteristics and remarkable progress, and particularly, the invention carries out recognition and analysis after preprocessing the acquired parameter monitoring information, and matches the corresponding operation auxiliary decision strategy according to the analysis result, so that an operator on duty or on-site detection personnel can carry out coping treatment according to the operation auxiliary decision strategy, and the monitoring and analysis of a large amount of data by the operator are replaced, thereby avoiding excessive dependence on the manual work of the expert, releasing manpower and improving efficiency.
Drawings
Fig. 1 is a schematic block flow 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. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, a centralized control station operation auxiliary decision-making method based on big data scans and acquires parameter monitoring information of each system of the centralized control station in real time, and preprocesses the acquired parameter monitoring information; identifying and analyzing the preprocessed parameter monitoring information; when abnormal parameter information or fault parameter information is acquired, matching and acquiring a corresponding operation auxiliary decision strategy; and sending the acquired operation auxiliary decision strategy and the associated auxiliary information thereof to the user terminal.
When the system is used, the parameter monitoring information of each system of the centralized control station is scanned and acquired in real time, and the acquired parameter monitoring information of each system of the centralized control station is preprocessed, so that unified identification is facilitated. After the preprocessed parameter monitoring information is identified, corresponding parameter standards are selected for analysis according to identification information and the like of the identified parameter monitoring information; when the abnormal parameter information or the fault parameter information is acquired, the corresponding operation auxiliary decision strategy is acquired in a matching way. And the acquired operation auxiliary decision strategy and the associated auxiliary information thereof are sent to the user terminal, so that monitoring personnel or on-site operators can conveniently operate according to the matched operation auxiliary decision strategy or directly contact with professionals corresponding to the abnormal parameters or fault information. Therefore, automatic monitoring of each system of the centralized control station is realized, and when abnormality or fault occurs, an auxiliary decision-making method is automatically given out at the first time, so that dependence on a large number of professionals for a long time is avoided, labor cost is reduced, and efficiency is improved.
In practice, preprocessing the acquired parameter monitoring information refers to unified identification expansion of the acquired parameter monitoring information of each system of the centralized control station. In this embodiment, the identifier extension information at least includes information source system identifier information, information source device identifier information, and information source location identifier information of the monitoring parameter. In reality, large data of power grid analysis and operation are obtained by effectively integrating and utilizing relevant information of various professional monitoring and auxiliary systems, more data types, objects, types and the like are obtained, unified identification information is added to parameter monitoring information of each system of the obtained centralized control station through expansion, information source system identification information is used for reflecting centralized control stations, systems and the like of data information sources, information source equipment identification information is used for reflecting target equipment information of the data information sources, and information source position identification information is used for reflecting specific parts or position information of target equipment of the data information sources.
When the preprocessed parameter monitoring information is identified and analyzed, the acquired parameter monitoring information is identified according to the identification extension information of the acquired parameter monitoring information, namely, the identification extension information of the acquired parameter monitoring information is used as an identification, corresponding standard parameter information which takes the identification extension information as the identification information is established, namely, the parameter monitoring information corresponding to the identification extension information has a normal value range and the like, the acquired parameter monitoring information is compared with the corresponding standard parameter information for analysis, and whether the acquired parameter monitoring information is abnormal relative to the standard parameter information or not and the type and the number range of the abnormality are determined according to the analysis result.
And constructing a corresponding abnormal or fault state case and an associated operation auxiliary decision strategy by taking the identification extension information of the acquired parameter monitoring information as a unique identification. The operation aid decision strategy includes abnormality or fault cause analysis information, coping solution strategy information, and coping operation guidance information. Preferably, the auxiliary decision-making policy is further associated with auxiliary information, the associated auxiliary information at least comprising information of a person making the auxiliary decision-making policy and information of a contact. When the abnormal or fault information is acquired, the corresponding matched operation auxiliary decision strategy is acquired according to the identification extension information of the acquired parameter monitoring information, so that on-site monitoring personnel or operators can conveniently know the reason of the abnormal or fault, grasp the strategy method for coping with the solution, and timely and critical operation can be performed according to the coping operation guide, further occurrence or expansion of the fault is avoided, and even the abnormal or fault is small, the abnormal or fault can be directly processed and eliminated. Thereby avoiding occupation of a large number of professionals. When the abnormality or the fault exceeds the processing capacity of the field personnel, the associated auxiliary information can be used for contacting the professional or the responsible personnel capable of coping with the abnormality or the fault at the first time, thereby facilitating the rapid intervention of the professional and the like and avoiding the on duty and occupation of a large number of professionals. In practice, when the operation auxiliary decision strategy corresponding to the matching is not obtained, the user terminal is directly warned and reminded.
In reality, a shared decision library is established and configured to store operation auxiliary decision strategies, and after a new operation auxiliary decision strategy is added, the new operation auxiliary decision strategy is actively updated and added to different centralized control stations, and associated auxiliary information is adaptively added according to different centralized control stations. And timely sharing the cases of different centralized control stations and the corresponding added operation auxiliary decision strategies, so that the whole operation auxiliary decision strategy is updated and enriched, the capacity of the operation auxiliary decision strategy is fully enriched, and the whole application range and the whole application capacity of the operation auxiliary decision method are improved.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (8)
1. A centralized control station operation auxiliary decision-making method based on big data is characterized in that:
scanning and acquiring parameter monitoring information of each system of the centralized control station in real time, and preprocessing the acquired parameter monitoring information;
identifying and analyzing the preprocessed parameter monitoring information;
when abnormal parameter information or fault parameter information is acquired, matching and acquiring a corresponding operation auxiliary decision strategy;
and sending the acquired operation auxiliary decision strategy and the associated auxiliary information thereof to the user terminal.
2. The big data based centralized control station operational aid decision making method of claim 1, wherein: when the obtained parameter monitoring information is preprocessed, unified identification expansion is carried out on the obtained parameter monitoring information of each system of the centralized control station.
3. The big data based centralized control station operational aid decision making method of claim 1, wherein: the identification extension information at least comprises information source system identification information, information source equipment identification information and information source part identification information of the monitoring parameters.
4. The big data based centralized control station operational aid decision making method of claim 1, wherein: when the preprocessed parameter monitoring information is identified and analyzed, the acquired parameter monitoring information is identified according to the identification extension information of the acquired parameter monitoring information, then the acquired parameter monitoring information is compared with the corresponding standard parameter information for analysis, and the type and the numerical range of the abnormality of the acquired parameter monitoring information relative to the standard parameter information are determined according to the analysis result.
5. The big data based centralized control station operational aid decision making method of claim 1, wherein: the operation aid decision strategy includes abnormality or fault cause analysis information, coping solution strategy information, and coping operation guidance information.
6. The big data based centralized control station operational aid decision making method of claim 1, wherein: the auxiliary information associated with the operation auxiliary decision strategy comprises information of a maker and contact information of the operation auxiliary decision strategy.
7. The big data based centralized control station operational aid decision making method of claim 1, wherein: and establishing a shared decision library, and after the shared decision library is configured to store the operation auxiliary decision strategy and add a new operation auxiliary decision strategy, actively updating and adding the new operation auxiliary decision strategy to different centralized control stations, and adaptively adding associated auxiliary information according to different centralized control stations.
8. The big data based centralized control station operational aid decision making method of claim 1, wherein: and when the operation auxiliary decision strategy corresponding to the matching is not acquired, directly alarming and reminding the user terminal.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116757679A (en) * | 2023-08-11 | 2023-09-15 | 南方电网调峰调频发电有限公司检修试验分公司 | Method and device for determining overhaul strategy, electronic equipment and storage medium |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116757679A (en) * | 2023-08-11 | 2023-09-15 | 南方电网调峰调频发电有限公司检修试验分公司 | Method and device for determining overhaul strategy, electronic equipment and storage medium |
| CN116757679B (en) * | 2023-08-11 | 2024-02-06 | 南方电网调峰调频发电有限公司检修试验分公司 | Method and device for determining overhaul strategy, electronic equipment and storage medium |
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