Hierarchical Information Fault Diagnosis Method for Power System Based on Fireworks Algorithm

  • Feng Haixun State Grid Hebei Training Center, Shijiazhuang, China
  • Yi Kenan State Grid Hebei Training Center, Shijiazhuang, China
  • Jia Zihang State Grid Hebei Training Center, Shijiazhuang, China
  • Bi Huijing State Grid Hebei Training Center, Shijiazhuang, China
Keywords: Fireworks algorithm; power system; hierarchical fault diagnosis;

Abstract

Power system fault diagnosis is an important means to ensure the safe and stable operation of power system. According to the specific situation of China’s current power grid automation level, a hierarchical fault diagnosis method based on switch trip signal, protection information and fault recording information is proposed. This method can not only diagnose simple fault and complex fault, but also judge fault type and phase, and complete fault location, which provides reliable guarantee for operators to quickly remove fault and resume operation. The diagnosis method based on this principle has good application effect in simulation test.

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Author Biographies

Feng Haixun, State Grid Hebei Training Center, Shijiazhuang, China

Feng Haixun graduated from North China Electric Power University in 2007 with a master’s degree in computer application. After graduation, he entered the State Grid Hebei Training Center where he has been engaged in the work of power system informatization and has accumulated a lot of experience in this respect. He has also published more than a dozen papers in various journals, one of which was indexed by IEEE and two by CPCI. Since 2019, he has been devoted to the application of the Internet of Things in the smart campus and the application of fireworks algorithm in the power system, making great contributions to the construction of the smart campus and information research of the State Grid Hebei Training Center.

Yi Kenan, State Grid Hebei Training Center, Shijiazhuang, China

Yi Kenan, Associate Senior Engineer. Graduated from North China Electric Power University in 2012. Worked in State Grid Hebei Training Center. His research interests is Research on E-learning.

Jia Zihang, State Grid Hebei Training Center, Shijiazhuang, China

Jia Zihang, Engineer. Graduated from North China Electric Power University in 2014. Worked in State Grid Hebei Training Center. His research interests is Research on E-learning.

Bi Huijing, State Grid Hebei Training Center, Shijiazhuang, China

Bi Huijing graduated from North China Electric Power University in 2006 with a master’s degree inelectric power system and automation. After graduation, she entered the State Grid Hebei Training Center as a power trainer.

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Published
2021-07-19
Section
Renewable Power and Energy Systems