Title :
Optimal unit sizing of Distributed Energy Resources in MicroGrid using genetic algorithm
Author :
Tafreshi, S.M.M. ; Zamani, H.A. ; Ezzati, S.M. ; Baghdadi, M. ; Vahedi, H.
Author_Institution :
Electr. Eng. Dept., Khajeh Nasir Univ., Tehran, Iran
Abstract :
In this paper, a methodology to perform the optimal unit sizing for Distributed Energy Resources (DRE) in MicroGid (MG), is developed. Based on a genetic algorithm, one optimal sizing method was developed to calculate the optimum system configuration that can achieve the customers required loss of power supply probability (LPSP) with a minimum COE. The proposed method results are validated for single source DG and hybrid DG with results obtained from HOMER for the same systems.
Keywords :
Energy resources; Genetic algorithms; Mathematical model; Photovoltaic systems; Power supplies; Power system modeling; Probability; Reliability; Renewable energy resources; Wind energy; Cost of energy; Genetic algorithm; Hybrid renewable energy system; MicroGrid; Optimal unit sizing;
Conference_Titel :
Electrical Engineering (ICEE), 2010 18th Iranian Conference on
Conference_Location :
Isfahan, Iran
Print_ISBN :
978-1-4244-6760-0
DOI :
10.1109/IRANIANCEE.2010.5506961
