Method, device, electronic equipment and medium for detecting abnormal power data
CN118690225BActive Publication Date: 2025-01-07TONGLIAN (SHENZHEN) DIGITAL TECH GRP CO LTD
Patent Information
- Application Number
- CN202410690903.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-05-30
- Publication Date
- 2025-01-07
- Estimated Expiration
- 2044-05-30
AI Technical Summary
Technical Problem
The existing abnormal detection methods of power distribution systems fail to effectively consider additional power loss, resulting in low detection accuracy.
Method used
By obtaining the power energy data and line attribute information of the power distribution system, the line power loss results are calculated, and these data are input into the pre-trained anomaly detection model to generate anomaly detection result.
Benefits of technology
The accuracy of abnormal detection of power distribution system is improved, and the additional power loss and various detection data of power distribution system are comprehensively taken into account.
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Figure CN118690225B_ABST
Abstract
The embodiments of the present application provide a method, device, electronic device and storage medium for detecting abnormal power data. The method for detecting abnormal power data of the present application includes: obtaining power data of a power distribution system and line attribute information of each distribution line in the power distribution system; obtaining line power loss results corresponding to each distribution line based on circuit detection data and line attribute information corresponding to each distribution line; inputting line power loss results, circuit detection data, power load data and equipment monitoring data corresponding to each distribution line into a pre-trained abnormality detection model to obtain abnormality detection results of the distribution system. The technical solution of the embodiments of the present application effectively improves the accuracy of abnormality detection of the power distribution system.
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Citation Information
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