Artificial immune system for sizing grid-connected photovoltaic system

This paper presents an intelligent-based sizing algorithm for the design of grid-connected photovoltaic (GCPV) system using artificial immune system (AIS). AIS had been used to select the optimal PV module and inverter from pre-developed PV module and inverter database such that the expected technical performance of the design could be optimized. The AIS had outperformed the genetic algorithm (GA) and particle swarm optimization (PSO) during the sizing process in terms of producing better optimum results despite having the largest computation time.