Genetic algorithm based optimal operation for photovoltaic systems under different fault criteria

The need to optimize the operation of PV systems is justified by the fact that PV systems are expensive to build, fuel- free source, and it is therefore natural that user of such systems would want them to perform at their most optimal point. Under the faulted condition, the power curve has a multi-peak nature; conventional optimization technique can easily fall down in local optimal and initial point problems. Genetic algorithm as a global optimization technique is adopted to optimize photovoltaic power system under different faulted conditions. The proposed PV system and GA scheme is tested for three different sizes (three module panel five module and seven module panel) of PV system under different faulted conditions and the simulation results sbown in the paper. It is shown from the results that the genetic algorithm captured the exact optimization point accurately for the tested cases.