Modelling and analysis of artificial intelligence based MPPT techniques for PV applications

Solar Photovoltaics plays a vital role in meeting the power requirements of the current generation. In fact it is the only mode of renewable energy that enables the decentralization of power. The output of an individual PV Module depends on the environmental conditions such as Temperature and Insolation level. For tracking down the maximum power available at a particular instant, we make use of Maximum Power Point Techniques. The heart of an MPPT system is a DC-DC Converter and for better performance any of the Buck-Boost converters are used. The Artificial Intelligence based methods have found to outperform the conventional methods in all the fields. In MPPT also, the AI based methods are found to be better than the conventional load line based methods. In this paper, a 1 kW PV Array is considered and three AI based MPPT techniques are analyzed with a Sepie converter. The loads connected to the converter are a Permanent Magnet DC Motor and a Grid tied Inverter. The temperature and Insolation levels are provided from historically available data for Thiruvananthapuram, Kerala, India.