Development of Intelligent MPPT to Resolve Voltage Dips in a Grid-Connected Hybrid Power Generation PV System in a Hot Climate

This article presents the results of optimizing the efficiency of a hybrid photovoltaic power plant using the fuzzy MPPT algorithm adapted to PID control for voltage regulation in order to overcome the voltage dip problem. The hybrid system consists of a photovoltaic field with a power of 11.2kW, a wind generator (WIND) of 12.23kW, the diesel group is used as an emergency source in the event of a power deficit and/or a voltage drop of more than 10% compared to the reference value. For this, the maximum powers of the photovoltaic generator (GPV) and the wind turbine are extracted independently by the fuzzy logic MPPT control. In addition, the two generators are coupled to the Buck-Boost chopper for voltage regulation by “proportional integral derivative” (PID) control. The hybrid system supplies an alternating load (AC) with an active power of 11kW. The entire system is controlled using fuzzy logic control whose input variables are the variation of the GPV-WIND hybrid power and the variation of the GPV-WIND hybrid voltage. The DC-DC converters used operate continuously and at a switching frequency of 10kHz under a temperature of 50°C. The originality and the contribution of this work lies in the fact that the entire hybrid system is modeled using MATLAB, thus making it possible to study its operation. The simulation results obtained are very satisfactory and show a particular interest in the search for stability and resolution of voltage dips thanks to intelligent control.