PERFORMANCE OPTIMIZATION OF AN ADAPTIVE MAXIMUM POWER POINT TRACKING CONTROLLER FOR HIGH-EFFICIENCY SOLAR PHOTOVOLTAIC SYSTEMS

Abstract

Solar photovoltaic (PV) systems have emerged as one of the most promising renewable energy technologies due to their clean, sustainable, and environmentally friendly nature. However, the output power of a PV system is highly dependent on changing environmental conditions such as solar irradiance, temperature, and partial shading, resulting in variations in its operating point. To maximize the energy harvested from the PV array, an efficient Maximum Power Point Tracking (MPPT) controller is essential. This paper presents a high-performance MPPT controller designed to continuously track the maximum power point under varying atmospheric conditions while minimizing power losses. The proposed controller employs an intelligent tracking algorithm integrated with a DCDC converter to regulate the operating voltage of the PV array for optimal power extraction. The controller provides fast convergence speed, reduced steady-state oscillations, improved tracking accuracy, and enhanced dynamic response compared with conventional MPPT techniques. Simulation and performance analysis demonstrate that the proposed MPPT controller significantly increases energy conversion efficiency, improves system stability, and ensures reliable operation under rapidly changing environmental conditions. The proposed approach offers an effective and costefficient solution for residential, commercial, and grid-connected solar photovoltaic applications.