Title :
Optimal Design Analysis of a Stand-Alone Photovoltaic Hybrid System
Author :
Lagorse, Jérémy ; Giurgea, Stefan ; Paire, Damien ; Cirrincione, Maurizio ; Simões, Marcelo G. ; Miraoui, Abdellatif
Author_Institution :
Lab. SeT Syst. & Transp., UTBM Univ. of Technol. of Belfort Montbeliard, Belfort
Abstract :
The optimal design of a photovoltaic hybrid system is time consuming and complex. Therefore, this paper proposes a study of this problem by modelling the system from the energy point of view. The hybrid system is composed of photovoltaic cells, a battery, and a fuel cell supplying a stand-alone street lighting system. After characterizing the problem, an optimization method is selected because it seems that stochastic methods are the best at solving the problem. A genetic algorithm is used to design the hybrid system optimally.
Keywords :
genetic algorithms; hybrid power systems; photovoltaic power systems; stochastic processes; battery; fuel cell; genetic algorithm; optimal design analysis; photovoltaic cells; stand-alone photovoltaic hybrid system; stand-alone street lighting system; stochastic methods; Batteries; Cost function; Fuel cells; Hydrogen; Lamps; Lighting; Photovoltaic cells; Photovoltaic systems; Solar power generation; Stochastic processes;
Conference_Titel :
Industry Applications Society Annual Meeting, 2008. IAS '08. IEEE
Conference_Location :
Edmonton, Alta.
Print_ISBN :
978-1-4244-2278-4
Electronic_ISBN :
0197-2618
DOI :
10.1109/08IAS.2008.132
