Sizing grid-connected photovoltaic system using genetic algorithm

This paper presents an intelligent-based algorithm for sizing grid-connected photovoltaic (GCPV) system using Genetic Algorithm (GA). GA had been used to determine the optimal PV module and inverter from pre-developed PV module and inverter databases such that the expected technical performance of the design could be optimized. In addition, the technical sizing outputs such as the number of photovoltaic (PV) modules, PV array configuration and inverter-to-PV array sizing factor were computed. The GA had outperformed the Evolutionary Strategies (ES) during the sizing process in terms of producing better optimum results. Low error had also been produced by GA when compared to a benchmark sizing algorithm using iterative sizing approach.