RETRACTED: Wind Farm Layout Design Using Cuckoo Search Algorithms (Retracted Article)

被引:6
|
作者
Rehman, S. [1 ]
Ali, S. S. [2 ]
Khan, S. A. [3 ]
机构
[1] King Fahd Univ Petr & Minerals, Res Inst, Dhahran, Saudi Arabia
[2] Univ Teknol PETRONAS, Ctr Intelligent Signal & Imaging Res, Bandar Seri Iskandar, Tronoh, Malaysia
[3] Univ Pretoria, Comp Sci Dept, Pretoria, South Africa
关键词
OPTIMIZATION; TURBINES; PLACEMENT;
D O I
10.1080/08839514.2018.1525521
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Wind energy has emerged as a strong alternative to fossil fuels for power generation. To generate this energy, wind turbines are placed in a wind farm. The extraction of maximum energy from these wind farms requires optimal placement of wind turbines. Due to complex nature of micrositing of wind turbines, the wind farm layout design problem is considered a complex optimization problem. In the recent past, various techniques and algorithms have been developed for optimization of energy output from wind farms. The present study proposes an optimization approach based on the cuckoo search (CS) algorithm, which is relatively a recent technique. A variant of CS is also proposed that incorporates a heuristicbased seed solution for better performance. The proposed CS algorithms are compared with genetic and particle swarm optimization algorithms which have been extensively applied to wind farm layout design. Empirical results indicate that the proposed CS algorithms outperformed the genetic and particle swarm optimization algorithms for the given test scenarios in terms of yearly power output and efficiency.
引用
收藏
页码:956 / 978
页数:23
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