Title: Simulation of different power methods for induction generator faults detection and diagnosis

Authors: Abdeslem Leksir; Bachir Bensaker

Addresses: Department of Electronic, Badji Mokhtar, University of Annaba, 23000 Annaba, Algeria ' Department of Electronic, Badji Mokhtar, University of Annaba, 23000 Annaba, Algeria

Abstract: This paper deals with a simulation of different power methods to detect and diagnose induction generator faults. Instantaneous partial and total power, active and reactive power, complex apparent power and transformed power from mechanic to electric nature are revisited, simulated and discussed in this paper for induction generator rotor broken bars and stator short cuts faults detection and diagnosis. Fast Fourier transform (FFT) and PQ transform algorithms are used as comparison tools. Simulation results show that, on one hand, active, reactive and complex apparent power can only be used to detect evolution of rotor faults. On the other hand, partial, total and power transferred from mechanical to electrical nature are able to detect induction generator faults evolution with the advantage of eliminating electrical distortions and influence of low quality of supplying voltage. Furthermore, the implementation of the PQ transformation offers the possibility to isolate load influence from rotor faults and stator ones.

Keywords: induction generator faults diagnosis; power modelling; partial; total power; complex; transformed power; active-reactive power; rotor-stator fault diagnosis; simulation.

DOI: 10.1504/IJPEC.2019.096727

International Journal of Power and Energy Conversion, 2019 Vol.10 No.1, pp.89 - 104

Received: 16 Jul 2016
Accepted: 05 Apr 2017
Published online: 10 Dec 2018 *

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