Optimal placement of wind turbines within a wind farm considering multi-directional wind speed using two-stage genetic algorithm

作     者：A.S.O.OGUNJUYIGBE T.R.AYODELE O.D.BAMGBOJE A.S.O.OGUNJUYIGBE;T.R.AYODELE;O.D.BAMGBOJE

作者机构：Power Energy Machines and Drives(PEMD)Research GroupDepartment of Electrical and Electronic EngineeringUniversity of IbadanNigeria 

出 版 物：《Frontiers in Energy》 (能源前沿（英文版）)

年 卷 期：2021年第15卷第1期

页      面：240-255页

核心收录：

学科分类：08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：University of Ibadan  UI 

主　　题：optimal placement wind turbines wind direction genetic algorithm wake effect 

摘      要：Most wind turbines within wind farms are set up to face a pre-determined wind ***,wind directions are intermittent in nature,leading to less electricity production *** paper proposes an algorithm to solve the wind farm layout optimization problem considering multi-angular(MA)wind direction with the aim of maximizing the total power generated on wind farms and minimizing the cost of installation.A twostage genetic algorithm(GA)equipped with complementary sampling and uniform crossover is used to evolve a MA layout that will yield optimal output regardless of the wind *** the first stage,the optimal wind turbine layouts for 8 different major wind directions were determined while the second stage allows each of the previously determined layouts to compete and inter-breed so as to evolve an optimal MA wind farm *** proposed MA wind farm layout is thereafter compared to other layouts whose turbines have focused site specific wind turbine *** results reveal that the proposed wind farm layout improves wind power production capacity with minimum cost of installation compared to the layouts with site specific wind turbine *** paper will find application at the planning stage of wind farm.