Continuous Optimization and Economic Evaluation of Wind Farm Layout Based on Genetic Algorithm with Elitist Strategy

4th International Conference on Advances in Energy Resources and Environment Engineering

能源学;生态环境科学

Sun, Yuhong^1 ; Gao, Zhiteng^2 ; Wang, Tongguang^2

Department of Business Administration, Guangzhou College of Technology and Business, Guangzhou, Guangdong

510000, China^1

Jiangsu Key Laboratory of Hi-Tech Research for Wind Turbine Design, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu

210016, China^2

关键词: Continuous optimization;    Discrete optimization;    Economic evaluations;    Elitist strategies;    Optimal calculations;    Output power and efficiencies;    Wake interferences;    Wind farm layouts;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/237/6/062018/pdf
DOI  :  10.1088/1755-1315/237/6/062018

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

To improve the overall output power and efficiency of the wind farm, considering the cost model of a wind turbine and the multi-turbine wake interference model, using genetic algorithm with elitist strategy, the real-coded method is used to optimize the wind farm layout. The optimal calculation results of three typical flow conditions show that: Compared with the results of the discrete optimization method, the continuous optimization can increase the output power and efficiency of a wind farm by about 1.05% ∼ 4.27% in the same amount of wind turbines, increase the economy of a wind farm by about 1.04% ∼ 4.10%, and avoid the influence of grid step size on the optimization results, so that it is possible to perform a finer micro-siting.