MPPT Controller for Efficiency Enhancement of Solar Power Plant Using Neural Network

Abstract

Electrical generation from Photovoltaic voltaic power plants plays a very important role to full fill the demand of electricity. P&O (Perturb and Observe), Incremental Conductance (InC) a well-known technology employing simply photovoltaic current monitoring are the three maximum power tracking strategies that are the subject of this paper extensive comparative analysis. The drawback of the 2 investigated methods—P&O in steady state, the operating point oscillates around the maximum power point due to incremental conductance, leading to a loss of the power that can be produced by the output panel. According to the simulation findings, the suggested Incremental Conductance with a Neural network (Hybrid model) can monitor the maximum power more quickly and steadily than the other techniques.