Optimization of new fuzzy logic controller by genetic algorithm for maximum power point tracking in photovoltaic system

Maximum power point tracking [MPPT] is the main solution to reduce the power loss in the photovoltaic [PV] system when temperature and solar ir-radiance variation occurs. This paper proposes a new intelligent control technique using fuzzy logic controller [FLC] and optimization of its parameters by Genetic Algorithm [GA] to obtain the maximum available power of PV module under unstable conditions. Performance of the conventional fuzzy logic controller is compared with new and optimized maximum power point tracker. Simulation results demonstrated better operation of the optimized fuzzy logic controller under variable weather conditions in comparison with conventional FLC