Comparison of Conventional and Intelligent MPPT Implementation using Boost Converter

Solar power is mostly used renewable energy source because of various advantages like easy and reliable implementation as compare to other renewable techniques. The efficiency of the solar PV generation is key challenge for researchers. To extract maximum power from a solar PV panel, it should be operate at an appropriate voltage and current, for different values of temperature and irradiance. To get that correct operating point different traditional and AI based techniques are proposed. The present work presents comparative analysis of conventional Maximum Power Point Tracker (MPPT) implementation like ‘Perturb and Observe’ with Intelligent MPPT (IMPPT) implementation with Artificial Neural Network (ANN).