Development of Fuzzy Logic based MPPT controller for PV system at varying meteorological parameters

The ever growing demand and socio-economic development, the conventional energy sources have almost become obsolete for nurturing this demand. Thus opening new avenues to search for the non-conventional sources. Photovoltaic is inexhaustible, renewable and non-polluting, so it is worth saying that it is one of the prospective solution for this crisis. But, having these benefits does not solve the problem as the efficiency is dependent on various factors such as irradiance, cell temperature, dust, sunlight's spectral density. Photovoltaic is a non-conventional and environment friendly technique which still has various challenges to overcome. This paper proposes an impressive Maximum Power Point Tracking (MPPT) algorithm using Fuzzy Logic in MATLAB-Simulink module alongside an analytical study with the traditional approach. This improvised MPPT technique reduces the tracking time and also solves the various issues associated with traditional MPPT algorithms such as Perturb and Observe, Incremental Conductance. The method involves as Fuzzy Logic Controller which controls the switching of the DC-DC Boost Converter. In this paper the fuzzy logic MPPT controller is tested against variable irradiance, and temperature. Various performance indicators have been listed for the proposed MPPT. Fuzzy logic provide user with complete flexibility to choose the inputs and their relationship (rule base). The simulated results show that the fuzzy logic technique controls the integrated PV module output directly and rapidly. Thus showing the effectiveness and feasibility of the proposed controller.