Title :
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.
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;
Conference_Titel :
IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on
Conference_Location :
Paris
Print_ISBN :
1-4244-0390-1
DOI :
10.1109/IECON.2006.347333