Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29334
Title: Optimal sizing method for stand-alone hybrid solar-wind system with LPSP technology by using genetic algorithm
Authors: Yang, H 
Zhou, W
Lu, L 
Fang, Z
Keywords: Annualized cost of system
Genetic algorithm
Hybrid solar-wind system
LPSP
Optimization
Issue Date: 2008
Publisher: Elsevier
Source: Solar energy, 2008, v. 82, no. 4, p. 354-367 How to cite?
Journal: Solar energy 
Abstract: System power reliability under varying weather conditions and the corresponding system cost are the two main concerns for designing hybrid solar-wind power generation systems. This paper recommends an optimal sizing method to optimize the configurations of a hybrid solar-wind system employing battery banks. Based on a genetic algorithm (GA), which has the ability to attain the global optimum with relative computational simplicity, 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 annualized cost of system (ACS). The decision variables included in the optimization process are the PV module number, wind turbine number, battery number, PV module slope angle and wind turbine installation height. The proposed method has been applied to the analysis of a hybrid system which supplies power for a telecommunication relay station, and good optimization performance has been found. Furthermore, the relationships between system power reliability and system configurations were also given.
URI: http://hdl.handle.net/10397/29334
ISSN: 0038-092X
EISSN: 1471-1257
DOI: 10.1016/j.solener.2007.08.005
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