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Characteristic Analysis and Application of Abnormal Data of Power Metering for Large Users

Published: 26 March 2024 Publication History

Abstract

Abnormal measurement is one of the main causes of abnormal line loss, line loss affected by many factors may not accurately and timely reflect the fault, the comparison relationship of the relevant measurement points may not be related in the system, the power comparison rules may not be practical, in addition to the fault of the broken line may not be timely monitoring and feedback. With the popularization of smart meters in the power grid, more and more measurement data are collected, and the diagnosis of metering anomalies has also been greatly improved. At present, these criteria rules have one thing in common: alarm judgment based on threshold. Alarms are triggered by setting thresholds. Therefore, the correct setting of thresholds is closely related to the authenticity of alarms. Experience-based threshold Settings are subject to false and missed reports. In view of the high risk of power theft for large users and the characteristics that tampering with the wiring of watt-hour meters is the easiest way to realize power theft, the characteristics of instantaneous quantity data under various types of wrong wiring are analyzed for reference of system monitoring.

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  • (2024)The feature recognition algorithm of reactive power metering difference considering dynamic and static power meter misconnection2024 6th International Conference on Energy, Power and Grid (ICEPG)10.1109/ICEPG63230.2024.10775674(1222-1225)Online publication date: 27-Sep-2024

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ICITEE '23: Proceedings of the 6th International Conference on Information Technologies and Electrical Engineering
November 2023
764 pages
ISBN:9798400708299
DOI:10.1145/3640115
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 March 2024

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  1. Energy metering anomaly
  2. Feature analysis
  3. Intelligent diagnosis large user

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  • (2024)The feature recognition algorithm of reactive power metering difference considering dynamic and static power meter misconnection2024 6th International Conference on Energy, Power and Grid (ICEPG)10.1109/ICEPG63230.2024.10775674(1222-1225)Online publication date: 27-Sep-2024

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