A critical evaluation of modern multi-level inverter for grid integrated co-generation scheme using ANFIS controller

Abstract

Now-a-days, the renewable energy sources are used extensively with the accumulated desired energy & several concerns of the environmental issues around the world. The efficient & excellent energy management is attained from proposed co-generation units; it may exert the fuel cell/photovoltaic systems. These are the primary energy sources to assist the micro-grid system using power conditioning units by adaptive neuro-fuzzy inference controller. This controller predicts the switching angles & optimum modulation index essentials for an improved output voltage & prevents the sudden variations of the asymmetrical 15-level modern multilevel inverter with fever switches. Here, this model has several inputs such as grid voltage, difference voltage, controlled target voltage. By means of these parameters, this proposed controller makes the rules & can be tuned imperatively for getting enhanced quality voltage at grid, greater transient stability. In this process, the proposed methodology provides a pure sinusoidal current is in-phase with the grid voltage, then interfacing to the grid by adaptive neuro-fuzzy classifier. A Simulink model is designed to validate the performance evaluation of this proposed work using Matlab/Simulink platform and results are conferred.