Analysis of the Behaviour of Genetic Algorithm Applied in Optimization of Electrical System Design for Offshore Wind Farms

Author

Zhao, Menghua ; Chen, Zhe ; Hjerrild, Jesper

Author_Institution

Inst. of Energy Technol., Aalborg Univ.

fYear

2006

fDate

6-10 Nov. 2006

Firstpage

2335

Lastpage

2340

Abstract

Genetic algorithms (GA) have been applied in many fields to solve multivariable, non linear optimization problems. There are lots of different GA techniques which are used to improve the performance of the algorithm. In this paper, the implementation of GA in optimization of electrical system design for offshore wind farms is proposed and several different GA techniques are investigated. The main problems of GA implementation in this field are addressed and the suitable GA techniques are proposed. The GA method is applied to a real offshore wind farm and the results are evaluated. It is concluded that the genetic algorithm is suitable for the optimization of offshore wind farm layout design as long as proper GA techniques are employed

Keywords

design engineering; genetic algorithms; nonlinear programming; wind power plants; electrical system design; genetic algorithm; nonlinear optimization problems; offshore wind farms; Algorithm design and analysis; Cost function; Design optimization; Environmental economics; Genetic algorithms; Linear predictive coding; Power generation economics; System analysis and design; Wind farms; Wind turbines;

fLanguage

English

Publisher

ieee

Conference_Titel

IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on

Conference_Location

Paris

ISSN

1553-572X

Print_ISBN

1-4244-0390-1

Type

conf

DOI

10.1109/IECON.2006.347333

Filename

4152877