Modeling and Design of a Novel Control Algorithm for Grid Connected Photovoltaic (PV) Inverter System

Abstract

Renewable sources has always seen as a good alternative for harvesting useful energy. Solar has a huge potential to contribute towards the power demands in almost every country. Harvesting the solar power efficiently is always challenging since it involves the high initial cost. To capture the maximum sun light to convert it to useful energy, a well-designed electronics circuit and an efficient control algorithm is needed. Maximum power point tracking (MPPT) techniques helps us in extracting maximum power from the sun light. This paper present a novel MPPT control algorithm that makes use of Adaptive Nuero-Fuzzy inference system (ANFIS). In fact, the ANFIS has a distinct generalization ability for the nonlinear and dynamic behavior of the PV generator. The ANFIS is trained to generate maximum power at inverter output taking into account the continuously varying nature of solar irradiance and temperature. The system ensures the maximum MPPT efficiency and thus maximum power at the inverter terminal. Matlab/Simulink based model of solar system is used and result analysis is carried out.