Research on intelligent algorithm-based power system fault prediction and diagnosis technology
DOI: 10.23977/jeeem.2024.070111 | Downloads: 0 | Views: 63
Author(s)
Yanhao Li 1, Xiaorong Sun 1, Luyao Tong 1, Bo Peng 1, Jinpeng Li 1
Affiliation(s)
1 School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, 100048, China
Corresponding Author
Yanhao LiABSTRACT
Fault prediction and diagnosis technology in the power system is an important application field of intelligent algorithms. Intelligent algorithms play a key role in fault prediction and diagnosis technology in the power system, aiming to improve the accuracy and efficiency of fault detection. This article reviews the current development status of intelligent algorithms in fault prediction and diagnosis technology in the power system, summarizes several problems and corresponding countermeasures of several commonly used intelligent algorithms in fault diagnosis applications. Finally, the development trend of intelligent algorithms is discussed: by focusing on data quality and integrating multi-source data, optimizing the selection and parameter tuning of algorithms and models, as well as combining multiple algorithms and models, the effectiveness and accuracy of fault prediction and diagnosis in the power system can be improved, enhancing the stability and reliability of the power system.
KEYWORDS
Power system, Fault prediction, Fault diagnosis, Intelligent algorithm, Data fusionCITE THIS PAPER
Yanhao Li, Xiaorong Sun, Luyao Tong, Bo Peng, Jinpeng Li, Research on intelligent algorithm-based power system fault prediction and diagnosis technology. Journal of Electrotechnology, Electrical Engineering and Management (2024) Vol. 7: 84-91. DOI: http://dx.doi.org/10.23977/jeeem.2024.070111.
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