Modified binary differential evolution for solving wind farm layout optimization problems

Author

Dazhi Jiang ; Chenfeng Peng ; Zhun Fan ; Yan Chen ; Xinye Cai

Author_Institution

Dept. of Comput. Sci., Shantou Univ., Shantou, China

fYear

2013

fDate

16-19 April 2013

Firstpage

23

Lastpage

28

Abstract

An important phase of a wind farm design is solving the wind farm layout optimization problem, for which evolutionary algorithms have been used frequently. According to the characteristics of wind farm layout problems, a smoothing operator is presented and adopted into the binary differential evolution. The experimental results show that the new algorithm effectively improves solution quality with less execution time. In addition, irregular wind field layout problem is studied and solved in this paper.

Keywords

evolutionary computation; optimisation; wind power plants; evolutionary algorithms; irregular wind field layout problem; modified binary differential evolution; smoothing operator; wind farm design; wind farm layout optimization problems; wind farm layout problems; Algorithm design and analysis; Layout; Optimization; Smoothing methods; Sociology; Wind farms; Wind turbines; Binary Differential Evolution; Irregular Wind Field; Smooth Operator; Wind Farm Optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Engineering Solutions (CIES), 2013 IEEE Symposium on

Conference_Location

Singapore

Type

conf

DOI

10.1109/CIES.2013.6611724

Filename

6611724