Stand-alone Micro Grid based on Artificially Intelligent Neural Network (AI-NN)

INTRODUCTION: Hybrid stand-alone Small Wind Solar Energy System offers a feasible solution in remote areas where grid connectivity is either financially or physically unavailable. A small wind turbine (SWT) and solar photovoltaic system are part of the hybrid energy system, which effectively employed to meet needs rural household loads. OBJECTIVE: This research suggests an effective analysis controllers taking demands into account. The controller should be designed such way as intelligently monitor availability store without spilling it out. METHODS: In order cope with challenging factors involved designing controller, intelligent power tracking artificially neural network (AI-NN) designed. Added that, whole process has been analysed MATLAB SIMULINK tool. RESUSTS: results simulation, infer that AI-NN achieved regression value 0.99 when compared Perturb & Observe algorithm (P&O), Fuzzy Logic Control (FLC) algorithm, higher speed. Also, attained 2.62kW whereas P&O 2.52kW logic 2.43W 3.89% than 7.52% fuzzy MPPT algorithm. CONCLUSION: module enhances by attains better performance lesser time efficiency. Thus, evident suits well for system.