Study on application of Fisher information for power system fault detection

• Autorzy: Cai S. , Liu G.
• Języki publikacji: EN

Abstrakty

EN

The ability to accurately detect power system faults is of vital importance for the purpose of isolating malfunctioning equipment and resuming normal operation as soon as possible after a fault occurs. People have used a variety of electric parameters as metrics to identify faults for a long time. The method proposed by this paper departs from the traditional approach by introducing 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 distribution networks. Firstly, we simplified the formula of FI and then adopted a practical method for calculating values of FI. We demonstrated the application of FI to measure the stability of electric signals. Finally, we combined FI with wavelet analysis to propose a novel technique for phase selection of a power distribution network with a grounding short-circuit fault, namely the wavelet-based Fisher information (WFI). Simulation studies were then carried out to show the feasibility of the proposed method.

Słowa kluczowe

EN

Fisher information; power system; fault detection; wavelet analysis

PL

informacja Fishera; system zasilania; wykrywanie uszkodzeń; analiza falkowa

• Wydawca: Institute of Heat Engineering, Warsaw University of Technology
• Czasopismo: Journal of Power Technologies
• Rocznik: 2018
• Tom: Vol. 98, nr 3
• Strony: 274--280
• Opis fizyczny: Bibliogr. 29 poz., tab., wykr.

Twórcy

autor

Cai S.

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

autor

Liu G.

• Key Laboratory of Facility Agriculture Measurement and Control Technology and Equipment of Machinery Industry, Jiangsu University, Zhenjiang, China, 212013)

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).