An intelligent neuro-fuzzy logic controller for induction generator based wind generation to improve power system stability

摘要

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.