中国电机工程学报2024，Vol.44Issue(9)：3702-3709,中插31,9.DOI:10.13334/j.0258-8013.pcsee.222567
基于鲸鱼优化算法的串列风力机主动尾流控制策略
Active Wake Control Strategy of Tandem Wind Turbines Based on Whale Optimization Algorithm
摘要
Abstract
Active wake control technology mitigates the adverse effects of upstream turbine wakes on downstream turbines by coordinating the operational status of each turbine in a wind farm,thereby enhancing the power generation.To explore the patterns of wake control,10 wind turbines in tandem are taken as the research object.The Jensen wake model and square summation superposition model are used to calculate the wake velocity distribution,and whale optimization algorithm(WOA)is used as the optimization method for axial induction factor distribution whose results are compared with those of particle swarm optimization algorithm(PSO).The results show that the WOA performs better and converges faster than PSO,resulting in a 5.63%to 42.76%increase in the wind farm power output.The distribution pattern of axial induction factors and the optimization effect on wind farm output power are minimally affected by inflow wind speed but are significantly influenced by the number of turbines and their streamwise spacing.关键词
风力机/主动尾流控制/尾流模型/鲸鱼优化算法Key words
wind turbine/active wake control/wake model/whale optimization algorithm分类
能源科技引用本文复制引用
刘一格,赵振宙,马远卓,凌子焱,刘惠文,刘岩,罗乔..基于鲸鱼优化算法的串列风力机主动尾流控制策略[J].中国电机工程学报,2024,44(9):3702-3709,中插31,9.基金项目
国家自然科学基金项目(51876054) （51876054）
江苏风力发电工程技术中心开放基金(ZK22-03-01) （ZK22-03-01）
南通市科技项目(JC2021108). Project Supported by National Natural Science Foundation of China(51876054) （JC2021108）
Open Fund of Jiangsu Wind Power Engineering(ZK22-03-01) （ZK22-03-01）
Science and Technology Project of Nantong City(JC2021108). （JC2021108）
