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Data Science Issues in State Evaluation of Power Equipment: Challenges and Prospects
Author:
Affiliation:

1. School of Computer and Control Engineering, North China Electric Power University, Baoding 071003, China;2. Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense (North China Electric Power University), Baoding 071003, China;3. State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China

Abstract:

As the link of the energy and electric power system, the effective state evaluation of the power equipment is a powerful guarantee for the stable operation of power system. Based on the existing research results and the perspective of data science, this paper makes an in-depth analysis of the methods in the field of state evaluation of power equipment. Firstly, the paper introduces the new characteristics of state evaluation of power equipment in the context of data science. Then, with the current well-known data science analysis method based on data analysis technology as the starting point, the paper presents the key issues of the state evaluation of power equipment in data preprocessing, calculation and analysis, storage, and visualization. In addition, the paper systematically expounds the specific application, bottleneck and future development of data science in the field of state evaluation of power equipment. Finally, the paper discusses the challenge of data science in the state evaluation of power equipment and anticipates some directions of future research work in this field.

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[1]LI Gang, ZHANG Bo, ZHAO Wenqing, et al. Data Science Issues in State Evaluation of Power Equipment: Challenges and Prospects[J]. Automation of Electric Power Systems,2018,42(21):10-20. DOI:10.7500/AEPS20180331006
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History
  • Received:March 31,2018
  • Revised:September 29,2018
  • Adopted:August 29,2018
  • Online: September 29,2018
  • Published: