Design of a Novel Intelligent Cooperative Type-2 Fuzzy Logic Controller and Fractional-Order Synergetic Approach for Wind Energy Systems Based MPPT Methodology

Abstract

Abstract This article discusses the analysis, design and reel-time implementation of an intelligent cooperative control technique to enhance the maximum power point tracking (MPPT) of wind power generators with isolated loads. The proposed intelligent cooperative MPPT algorithm was created based on an interval type-2 fuzzy logic system (IT2-FLS) MPP estimator, which can handle control rule uncertainties under significant dynamic environmental changes. The suggested fractional nonlinear synergetic controller (FNSC) comprises the mechanical velocity regulator that enforces the wind generator to produce the greatest amount of energy by acting on the DC/DC step-up converter duty ratio. The intelligent cooperative MPPT controller is tested in an experiment using a permanent magnet synchronous generator (PMSG)-based wind turbine (WT) structure to ensure that it can operate the wind generator at their maximum peak powers regardless of weather conditions. According to the experimental findings, the suggested intelligent cooperative MPPT controller provides quick, precise, and efficient tracking speed, high levels of operational stability, high MPPT efficiency, and robust performance against uncertainties arising from disturbance to inputs of the wind energy system. A comparison with IT1-FLS-based MPPT technique is also discussed to highlight the performances of our intelligent cooperative MPPT method.