Design and Performance Analysis of a Neural Network Sliding Mode based Hybrid Controlled Islanded Micro-Grid

Abstract

The micro-grid fed shunt voltage source converter, also known as a smart Artificial neural network and sliding mode controller (ANN-SMC) based hybrid system, is developed during this research for solar system, wind and battery storage connected shunt filter. Here, phased locked loop utilization is avoided by the self-tuning filter (STF). Move over, apart from producing phase synchronization, STF also distinguishes between the fundamental and harmonic components. Total harmonic distortion (THD) reduction and steady voltage across dc link during load variations with short settling times under both grid and island settings are the key goals of the recommended approach. Four scenarios with various combinations of loads, solar radiation, and wind speeds under islanding conditions are used to illustrate the effectiveness of the study.