A New Evolutionary Algorithm for the Optimal Sizing of Stand-Alone Photovoltaic System Based on Genetic Algorithm

摘要

In this paper, one of Artificial Intelligent technique is applied to obtain the optimal design of Photovoltaic, PV, system for supplying the isolated load demand. The proposed technique is applied to optimize the costs of the PV system includes Photovoltaic, battery bank, battery charger controller and inverter. Using optimization methods of Genetic Algorithm, GA, the optimal capacity of these components is determined. Two proposed objective functions are presented; the first one is the PV module output power which is required to be maximized and the second is the Life Cycle Cost, LCC, which is required to be minimized. The analysis is performed based on measured solar radiation and ambient temperature as inputs to GA program. These data are measured at Helwan city, Egypt. The results of the study encouraged the use of the PV systems to electrify' the rural sites of Egypt.