Viable Adaptive Neural Network Controller for STATCOM in Stand-Alone Wind Power System

Abstract

Reliable and viable controller based on neural network for STATCOM in off-line wind power system is advised. A simple adaptive neural extraction circuit is used for generating the reference currents from the load currents. Levenberg-Marquardt back propagation was used for training the advised neural control. The advised control enjoys the advantages of simplicity and reliability. The proposed controller was corroborated through comprehensive simulation results in Matlab environment under rigorous operating regimes. The results verified the flexibility and feasibility of the proposed control strategy