Fuzzy Logic Controller-Based Intelligent Control for Enhanced Performance in Hybrid Solar-Wind Energy Systems

Abstract

Despite the effectiveness of Carrier PWM and SVPWM in managing hybrid solar-wind renewable energy systems, challenges such as nonlinearity in power generation, dynamic environmental conditions, and suboptimal power quality remain unaddressed. These limitations often result in slower system response and increased total harmonic distortion (THD), particularly under highly variable operating conditions. This paper proposes a Fuzzy Logic Controller (FLC) as an advanced solution to overcome these challenges. The FLC leverages the capabilities of fuzzy logic to provide adaptive and intelligent control for hybrid renewable energy systems. By dynamically adjusting to nonlinear variations in solar irradiance and wind speed, the proposed FLC ensures optimal power tracking, improved voltage regulation, and reduced THD compared to conventional Carrier PWM and SVPWM techniques. The hybrid system integrates FLC control for both solar and wind energy subsystems, replacing traditional static PWM methods. Faster response times, improved system stability, and efficient energy distribution under varied load and climatic circumstances are some of the ways in which the FLC excels in simulations. Fuzzy logic-based control systems have the ability to enhance the efficiency and dependability of hybrid renewable energy systems, as demonstrated in this study.