Fuzzy Logic Control of MPPT Controller for PV Systems with Varying Irradiance


K. Sudharshan, M Tech, Ph.d, Associate Professor, V V Swathi, N Vamsi, M Vidyarani, Ch Sai Ganesh, N Niranjan, G Srinivasa Rao
Dept. of EEE, QISCET, Ongole.


For a nation’s economy, power is perhaps the most critical aspect. An successful photovoltaic (PV) power generation system needs to be built in order to satisfy increased energy requirements. PV module performance is very weak, and the dynamics are nonlinear, due to variations in solar irradiance and temperature. When running the machine at its full power point (MPP) the performance of the PV process can be enhanced, and this can be done by implementing strategies for the lower power points (MPPT). This article deals with the application of an MPPT approach based on fluid logic. In this method, MPPT monitoring mechanisms for PV power generation are introduced, such as Perturb & Observe (P&O) MPPT and Fuzzy-MPPT (FMPPT). FMPPT efficiency is contrasted to P&O MPPT performance. Provided that FMPPT can cope with nonlinearity and map the MPP more accurately and easily, it performs better than P&O’s MPP Tracking technique.