A new technique based on Artificial Bee Colony Algorithm for optimal sizing of stand-alone photovoltaic system

Article English OPEN
Ahmed F. Mohamed ; Mahdi M. Elarini ; Ahmed M. Othman (2014)
  • Publisher: Elsevier
  • Journal: Journal of Advanced Research, volume 5, issue 3, pages 397-408 (issn: 2090-1232, eissn: 2090-1224)
  • Related identifiers: doi: 10.1016/j.jare.2013.06.010, pmc: PMC4294754
  • Subject: Original Article | Bee colony | General | PV array | R5-920 | Science (General) | Q1-390 | Medicine (General) | Genetic algorithm and life cycle cost | Inverter | Storage battery

One of the most recent optimization techniques applied to the optimal design of photovoltaic system to supply an isolated load demand is the Artificial Bee Colony Algorithm (ABC). The proposed methodology is applied to optimize the cost of the PV system including photovoltaic, a battery bank, a battery charger controller, and inverter. Two objective functions are proposed: the first one is the PV module output power which is to be maximized and the second one is the life cycle cost (LCC) which is to be minimized. The analysis is performed based on measured solar radiation and ambient temperature measured at Helwan city, Egypt. A comparison between ABC algorithm and Genetic Algorithm (GA) optimal results is done. Another location is selected which is Zagazig city to check the validity of ABC algorithm in any location. The ABC is more optimal than GA. The results encouraged the use of the PV systems to electrify the rural sites of Egypt.
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