An intelligent neuro-fuzzy logic controller for induction generator based wind generation to improve power system stability
by N. Albert Singh, K.A. Muraleedharan, K. Gomathy
International Journal of Modelling, Identification and Control (IJMIC), Vol. 6, No. 3, 2009

Abstract: Power systems are non-linear and they are often subjected to random disturbances. This paper deals with the application of the intelligent neuro-fuzzy technique to the design of the robust power system stabiliser for power system oscillation damping enhancement in a wind turbine based power system network. The stabilising signal is computed in real time using suitable fuzzy membership functions depending upon the state of the generator on the speed-acceleration phase plane. These input signals are first characterised by a set of linguistic variables using fuzzy set notations. The fuzzy relation matrix, which gives the relationship between stabiliser inputs and stabiliser output, allows a set of fuzzy logic operations that are performed on stabiliser inputs to obtain the desired stabiliser output. The performance of the proposed controller is analysed in a single induction machine-infinite bus power system data subjected to various dynamic and transient disturbances. The proposed intelligent neuro-fuzzy control scheme exhibits a superior damping performance in comparison to the conventional controllers. Its simple architecture reduces the computational burden, thereby making it attractive for real-time implementation.

Online publication date: Sun, 05-Apr-2009

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