Autonomous Smart Grid Fault Detection

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Jun 2023Embargo end date: 01 Jun 2022Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Communications Standards Magazine, volume 7, pages 40-47 (issn: 2471-2825, eissn: 2471-2833,

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Authors: Qiyue Li 0001; Yuxing Deng; Xin Liu 0104; Wei Sun 0011; Weitao Li; Jie Li 0015; Zhi Liu 0002;

doi: 10.1109/mcomstd.0001.2200019 , 10.48550/arxiv.2206.14150

arXiv: 2206.14150

Autonomous Smart Grid Fault Detection

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Abstract

Smart grid plays a crucial role for the smart society and the upcoming carbon neutral society. Achieving autonomous smart grid fault detection is critical for smart grid system state awareness, maintenance and operation. This paper focuses on fault monitoring in smart grid and discusses the inherent technical challenges and solutions. In particular, we first present the basic principles of smart grid fault detection. Then, we explain the new requirements for autonomous smart grid fault detection, the technical challenges and their possible solutions. A case study is introduced, as a preliminary study for autonomous smart grid fault detection. In addition, we highlight relevant directions for future research.

Related Organizations

Hefei University of Technology
China (People's Republic of)
University of Electro-Communications
Japan

Keywords

FOS: Computer and information sciences, Computer Science - Distributed, Parallel, and Cluster Computing, FOS: Electrical engineering, electronic engineering, information engineering, Distributed, Parallel, and Cluster Computing (cs.DC), Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control

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