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

fYear

2009

fDate

25-27 Sept. 2009

Firstpage

291

Lastpage

294

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ASEMD.2009.5306635

Filename

5306635