Hybrid Neuro Fuzzy Control Based Isolated Asynchronous Generation Connect to Non-Linear Load

Abstract

This paper deals with a hybrid neuro fuzzy control to isolated asynchronous generator (IAG) connected to non linear load. The proposed method utilizes an NN based on the least mean-square algorithm known as adaptive linear element to extract the fundamental component of load currents to control the voltage and the frequency of an IAG with load balancing in an integrated manner. The IELC is realized using zigzag/three single-phase transformers and a six-leg insulated-gate bipolar-transistor-based current controlled voltage-source converter, a chopper switch, and an auxiliary load on its dc bus. The proposed IELC, with the generating system, is modeled and simulated in MATLAB environment using Simulink and Simpower System toolboxes. The simulated results are validated with test results on a developed prototype to demonstrate the effectiveness of IELC for the control of an IAG feeding three-phase four-wire linear/nonlinear balanced/ unbalanced loads with neutral-current

Keywords: Adaptive linear element (adaline), integrated electronic load controller (IELC), isolated asynchronous generator(IAG), small hydro generation, small hydropower generation, fuzzy.