ENERGY MANAGEMENT AND POWER QUALITY IMPROVEMENT IN SPLIT SOURCE INVERTER-BASED PV SYSTEMS USING ADAPTIVE FUZZY SLIDING MODE CONTROL

Abstract

The increasing penetration of photovoltaic (PV) systems into modern power networks necessitates the development of advanced control strategies that ensure efficient energy management and enhanced power quality. This paper proposes an Adaptive Fuzzy Sliding Mode Control (AFSMC)-based energy management approach for a Split Source Inverter (SSI)-based PV system. The split source inverter combines the functionalities of a conventional voltage source inverter and a DC–DC boost converter, thereby reducing component count and improving conversion efficiency. However, maintaining stable operation under fluctuating solar irradiance, load variations, and grid disturbances remains a significant challenge. The proposed AFSMC strategy integrates the robustness of Sliding Mode Control (SMC) with the adaptive reasoning capability of Fuzzy Logic Control (FLC) to regulate the DC-link voltage, improve power flow management, and mitigate power quality issues. The controller dynamically adjusts the switching control law to minimize tracking errors and suppress chattering effects associated with traditional SMC methods. MATLAB/Simulink simulations demonstrate that the proposed controller achieves superior dynamic performance, reduced total harmonic distortion (THD), improved power factor, enhanced voltage regulation, and efficient utilization of PVgenerated power compared with conventional PI and standalone SMC approaches. The results validate the effectiveness of the AFSMC strategy in enabling reliable and high-quality operation of SSI-based PV systems.