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Belghazi, O., Rachid, M., Cherkaout, M. and Taalahi, M. (2013) Optimal Design of Power System Stabilizers Control for Mono-Machine and Multi-Machine Used Intelligent Control Techniques Fuzzy Logic. Journal of Theoretical and Applied Information Technology, 57, 624-630.

has been cited by the following article:

• TITLE: Small Signal Stability Analysis of DFIG Fed Wind Power System Using a Robust Fuzzy Logic Controller

  AUTHORS: M. Panneer Selvam, P. Prakasam

  KEYWORDS: Doubly-Fed Induction Generator (DFIG), Conventional Power System Stabilizer (CPSS), Fuzzy Logic Based Power System Stabilizer (FPSS)

  JOURNAL NAME: Circuits and Systems, Vol.7 No.4, April 28, 2016

  ABSTRACT: This paper focuses on the small signal stability analysis of Doubly-Fed Induction Generator (DFIG) fed wind power system under three modes of operation. The system stability is affected by the influence of electromechanical oscillations, which can be damped using Power System Stabilizer (PSS). A detailed modeling of DFIG fed wind system including controller has been carried out. The damping controller is designed using fuzzy logic to damp the oscillatory modes for stability. The robust performance of the system with controllers has been evaluated using eigen value analysis and time domain simulations under various disturbances and wind speeds. The effectiveness of the proposed fuzzy based PSS is compared with the performance of conventional PSS implemented in the wind system.