Research on Intellisense and Simplified Feature Set Extraction of Partial Discharge for Power Distribution Network
Pages 175 - 182
Abstract
Power distribution network is responsible for the important function of supply and distribution of electric energy, which is seriously threatened insulation faults and difficult to realize insulation condition monitoring. With the development of the intelligent sensing technology and communication technology, internet of things (IoT) technology provides a new opportunity to realize the all-round real-time rapid perception of the operation status of smart distribution network and timely push of early warning information. However, the feature quantity of big data and high frequency represented by partial discharge (PD) detection poses a great challenge to IoT-based intelligence sensing ability and data analysis ability. In this paper, IoT-based distributed PD monitoring network architecture is proposed for PD status detection, and the design principle for IoT-based distributed PD intellsense sensors is proposed. On this basis, to meet the data transmission capacity of the low-power and wide area network (LPWAN), a simplified feature set extraction method of phase resolved partial discharge (PRPD) patterns is proposed according to the PD simulation tests. This paper has a certain reference significance for feature extraction and pattern recognition of PD on the edge of the distributed IoTs.
References
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Chen Shen, Xiaochun Bai, Yan Jing, Jiangang Ma, Ming Ren, Tianxin Zhuang, and Changjie Xia. 2021. An Intelligent TEV Sensor for Partial Discharge Detection of Cable Terminals. In Emerging Trends in Intelligent and Interactive Systems and Applications, Madjid Tavana, Nadia Nedjah and Reda Alhajj (eds.). Springer International Publishing, Cham, 725–732.
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Published In
November 2022
739 pages
ISBN:9781450396806
DOI:10.1145/3582935
Copyright © 2022 ACM.
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Association for Computing Machinery
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Publication History
Published: 10 April 2023
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- Research-article
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- Refereed limited
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- the Science and Technology Project of the State Grid Jilin Electric Power Co., Ltd.
Conference
ICITEE 2022
ICITEE 2022: 5th International Conference on Information Technologies and Electrical Engineering
November 4 - 6, 2022
Changsha, China
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