An Efficient MPPT Technique Using MIASO Based NARMA-L2 Controller for SPV Generator

Abstract

This paper describes an efficient solution to make a solar photovoltaic (SPV) generator more promising and acceptable to generate continuous power over the different inherent and extraneous unpredictable factors. A significant problem of the SPV generators is to harness optimal power and its complicated nonlinear power-voltage characteristics with multiple sags and swells under shedding conditions and dynamic insolation patterns. A novel state-of-the-art technique of maximum power point tracking (MPPT) using multi-input and single-output (MIASO) based nonlinear autoregressive moving average controller (NARMA-L2) is used. It is employed to govern two inputs of two SPV generators by controlling one output duty cycle of one boost converter to take out continuous maximum power under macro and micro-dynamic environmental data. It can adjust power supply according to demand under the same or different insolation pattern. One of the strongest reasons to use this technique is to improve the system’s performance to the next level of perfection as it can easily be able to differentiate the global point of maximum power (GPMP) and local point of maximum power (LPMP). Its efficient control capability with a large no of a database is showing its proficiency in uncertain nonlinear environmental conditions, and controllability of separate controllers for each SPV generator. In this paper, the post-performance in terms of least MSE (Mean Square Error) and the maximum efficiency is enhanced up to 98.15%, and 97 % for macro and micro environmental data respectively. The MATLAB simulation results of the SPV generator configuration with the proposed novel MPPT technique are found superior.