Wind Farm Layout Design Using Cuckoo Search Algorithms

作     者：Rehman, S Ali, S S Khan, S A 

作者机构：Research Institute King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia Center of Intelligent Signal & Imaging Research Universiti Teknologi PETRONAS Bandar Seri Iskandar Tronoh Malaysia Computer Science Department University of Pretoria Pretoria South Africa 

出 版 物：《Applied Artificial Intelligence》 (应用人工智能)

年 卷 期：2018年第32卷第9-10期

页      面：956页

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Wind Energy Conversion Systems Wind algorithms maximum energy SEARCHING ALGORITHM Energy output Wind farms particle swarm algorithm layout design Cuculidae Fossil Fuels 

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 heuristic-based 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.