Optimal operation for a faulted pv system using genetic algorithm

Abstract EN

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 techniques 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 the three-array PV system under different faulted conditions and the simulation results shown in the paper.

It is shown from the results that the genetic algorithm captured the exact optimization point accurately.