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

Authors

  • 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

DOI:

https://doi.org/10.13052/dgaej2156-3306.3634

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 record-
ing 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 Uni-
versity 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

2021-07-13

How to Cite

Haixun, F. ., Kenan, Y. ., Zihang, J. ., & Huijing, B. . (2021). Hierarchical Information Fault Diagnosis Method for Power System Based on Fireworks Algorithm. Distributed Generation &Amp; Alternative Energy Journal, 36(3), 269–286. https://doi.org/10.13052/dgaej2156-3306.3634

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Articles