Development of an algorithm of maximum power point tracking for photovoltaic systems using genetic algorithms

Abstract

This paper presents a novel GA (genetic algorithms) based method to carry out the maximum power point tracking (MPPT) based on the cell model. For that it is necessary to measure the open circuit voltage (Voc) and short circuit current (Isc), then the proposed algorithm gives directly and rapidly the optimal voltage (Vop) so the duty cycle is adjusted. The simulation results are obtained by changing Isc and Voc values. The proposed technique permits to verify the linearity between Vop and Voc and between optimal current (Iop) and Isc. The results are compared with the conventional Perturb and Observe (P&O) and Incremental Conductance (IncCond) algorithms.