Comparative Analysis of Fuzzy Logic and Incremental Conductance MPPT Techniques for Enhancing Photovoltaic System Efficiency

Abstract

Solar photovoltaic (PV) systems offer a clean and sustainable energy source, but their efficiency varies with changing environmental conditions. To optimize power extraction, Maximum Power Point Tracking (MPPT) techniques are crucial. This paper presents a comparative analysis of Fuzzy Logic and Incremental Conductance (INC) MPPT algorithms for enhancing photovoltaic system efficiency. Both techniques are implemented and tested using the PSIM simulation platform, which also supports the hardware-oriented design and validation of the control circuits. Key performance parameters such as tracking speed, accuracy, and adaptability to irradiance variations are analyzed. The study further explores the integration of a DC-DC converter to regulate output voltage for broader application utility. The results demonstrate the effectiveness of both MPPT methods and provide insights into their practical suitability for real-time solar energy systems.