Design and Performance Analysis of a Fuzzy Logic Controlled Hybrid Wind-Solar-Battery Energy System for Induction Motor Applications

Abstract

The increasing demand for reliable and high-quality electrical power has accelerated the integration of renewable energy resources into modern power systems. Although wind energy has emerged as a promising renewable source, its intermittent nature introduces significant fluctuations in power generation, affecting system stability and power quality. To overcome these limitations, this paper proposes a hybrid Wind–Solar–Battery Energy System employing a Fuzzy Logic Controller (FLC) for enhanced power management and improved operational performance. The proposed system integrates a photovoltaic (PV) array, a wind energy conversion unit, a battery energy storage system (BESS), power electronic converters, a common DC bus, and a voltage source inverter supplying an induction motor load. Initially, a conventional PI controller is considered for system regulation; however, a fuzzy logic–based control strategy is introduced to improve dynamic response, minimize steady-state error, and reduce Total Harmonic Distortion (THD). The complete hybrid system is modeled and analyzed using MATLAB/Simulink under varying operating conditions. Simulation results demonstrate that the proposed fuzzy logic– controlled hybrid system provides superior power quality, enhanced voltage regulation, effective battery energy management, and reliable power delivery compared with the conventional PI-controlled system. The proposed approach effectively improves renewable energy utilization while ensuring stable operation of induction motor loads under fluctuating environmental conditions.