Intelligent MPPT controller for PV system using gravitational search algorithm [articol]

Abstract

In this paper, for maximum power point tracking (MPPT) of photovoltaic (PV), the combination of gravitational search algorithm (GSA) and recurrent neural network (RNN) is proposed. Initially, the panel power, voltage, current and solar irradiance is considered for analysing the PV system. According to these parameters, the maximum power is tracked and generated the control signal for the converter. Here, the objective function is the minimisation of the difference between the maximum power and the actual power. The proposed technique is implemented in Matlab/Simulink platform and their performances are evaluated under the variation of solar irradiance. Based on the solar irradiance, the performances are analysed in the different time instants and considered as the three different cases.