Support vector regression based maximum power point tracking for PV grid-connected system

The photovoltaic (PV) generators have a nonlinear V-I characteristics and maximum power points which vary with the illumination level and temperature. Using maximum power point tracker (MPPT) with the intermediate converter can increase the system efficiency by matching the PV systems to the loads. This paper presents an irradiation level estimator and a maximum power point tracker based on support vector regression (SVR) and a control scheme for and a control scheme for a single-phase inverter connected to the utility grid. SVR provides an adaptive nature for the system performance. Also the SVR provides excellent features such as fast response, good performance and the ability to change the regression function to improve control system. The single-phase dc/dc converter is designed to control the power flow to the maximum value. The simulation results have verified the validity of the proposed estimation algorithm.