Study on Application of Fisher Information for Power System Fault Detection

  • Shuping Cai College of Electrical Information and Engineering, Jiangsu University, Zhenjiang China 212013
  • Guohai Liu Key Laboratory of Facility Agriculture Measurement and Control Technology and Equipment of Machinery Industry, Jiangsu University, 212013 Zhenjiang, China


The ability to accurately detect power system faults is of vital importance for the purpose of isolating malfunctioning equipmentand resuming normal operation as soon as possible after a fault occurs. People have used a variety of electric parametersas metrics to identify faults for a long time. The method proposed by this paper departs from the traditional approach byintroducing Fisher information (FI) as a measure of the stability of electric signals and as a criterion for making fault decisions.In this way, a non-dimensional positive parameter is used as a single criterion to deliver fault detection for power distributionnetworks. Firstly, we simplified the formula of FI and then adopted a practical method for calculating values of FI. Wedemonstrated the application of FI to measure the stability of electric signals. Finally, we combined FI with wavelet analysisto propose a novel technique for phase selection of a power distribution network with a grounding short-circuit fault, namelythe wavelet-based Fisher information (WFI). Simulation studies were then carried out to show the feasibility of the proposedmethod.

Author Biography

Shuping Cai, College of Electrical Information and Engineering, Jiangsu University, Zhenjiang China 212013
Shuping Cai was born in Shanxi, China, in 1963. He received the B.Sc. degree and the M.E degree in Xi'an Jiaotong University, and the D.E. degree in Jiangsu University. He is Associate Professor at Jiangsu University. His major interests is power system and its automation.


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How to Cite
CAI, Shuping; LIU, Guohai. Study on Application of Fisher Information for Power System Fault Detection. Journal of Power Technologies, [S.l.], v. 98, n. 3, p. 274–280, jan. 2016. ISSN 2083-4195. Available at: <>. Date accessed: 25 apr. 2024.
Electrical Engineering

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