Optimum configuration for renewable generating systems in residence using genetic algorithm

Author

Senjyu, Tomonobu ; Hayashi, Daisuke ; Urasaki, Naomitsu ; Funabashi, Toshihisa

Author_Institution

Dept. of Electr. & Electron. Eng., Univ. of the Ryukyus, Okinawa, Japan

Volume

21

Issue

2

fYear

2006

fDate

6/1/2006 12:00:00 AM

Firstpage

459

Lastpage

466

Abstract

Photovoltaic power generation and wind power generation have an advantage that energy is clean and infinite, but they have a disadvantage in that electrical output energy is unstable, and initial and maintenance costs are expensive. This paper presents an optimal configuration for renewable generating systems in residence using a genetic algorithm (GA). We define that the objective function is the total cost, where the total cost is the sum of initial cost, an operation cost, and a maintenance cost. We determine an optimal configuration of renewable generating systems, where total cost is more reasonable using GA. The simulation using this technique is shown.

Keywords

genetic algorithms; maintenance engineering; photovoltaic power systems; renewable energy sources; wind power plants; electrical output energy; genetic algorithms; maintenance cost; photovoltaic power generation; renewable generating systems; wind power generation; Cost function; Genetic algorithms; Photovoltaic systems; Power demand; Power engineering and energy; Renewable energy resources; Solar power generation; Wind energy generation; Wind power generation; Wind speed; Genetic algorithm (GA); optimal configuration; renewable generating system;

fLanguage

English

Journal_Title

Energy Conversion, IEEE Transactions on

Publisher

ieee

ISSN

0885-8969

Type

jour

DOI

10.1109/TEC.2006.874250

Filename

1634593