Title :
Generation matching and economic evaluation of household wind/PV hybrid power system
Author :
Zhang, Fengge ; Li, Hao ; Wang, Yuxin
Author_Institution :
Sch. of Electr. Eng., Shenyang Univ. of Technol., Shenyang, China
Abstract :
Renewable energy has stronger relationship with human development than ever. According to extensive studies on existed stand alone wind and photovoltaic (PV) hybrid power system, a novel method of optimum sizing was presented to obtain proper combination of wind and solar generation and effectively analyzed economic performance. Annual total cost model was proposed and genetic algorithm (GA) was used to search global minimum solution. Compared with other system models, it simplified solving process, improved computational efficiency, and effectively avoided premature convergence. It is helpful to program the hybrid power system and popularize stand alone generating system for home usage in remote area.
Keywords :
genetic algorithms; hybrid power systems; photovoltaic power systems; power generation economics; wind power plants; economic evaluation; generation matching; genetic algorithm; household hybrid power system; renewable energy; solar generation; stand alone generating system; stand alone photovoltaic power system; stand alone wind power system; Humans; Hybrid power systems; Power generation; Power generation economics; Power system economics; Power system modeling; Renewable energy resources; Solar power generation; Wind energy generation; Wind power generation; annual total cost model; genetic algorithm; optimum sizing; wind/PV hybrid power;
Conference_Titel :
Applied Superconductivity and Electromagnetic Devices, 2009. ASEMD 2009. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3686-6
Electronic_ISBN :
978-1-4244-3687-3
DOI :
10.1109/ASEMD.2009.5306635
