Sun energy is widely utilized to power stand-alone photovoltaic systems (SAPV). However, the lack of long term hourly meteorological data and inaccurate methods result in obstacles in designing the SAPV sys. ••MADE method is presented for optimally size of the SAPV system.••. Environmental pollution, depletion of fossil fuels, and climate change are main challenges that highlight the importance of moving towards utilizing renewable energy sources. In gener. The SAPV system composes mainly of four parts which are: PV panels, DC/DC and DC/AC converters, storage battery, and AC load demand. The injected light of the sun into the PV panel. The performance of the SAPV depends essentially on the selected optimal configuration. Therefore, the optimal configuration must be selected carefully to fulfill the require. Nowadays, Evolutionary algorithms (EAs) have been proposed to tackle complicated multi-objective optimization problems due to it is being successfully implemented in numerous applic.
