华中科技大学学报（自然科学版）2025，Vol.53Issue(7)：38-44,51,8.DOI:10.13245/j.hust.250518
基于机组启停策略的弃风风电场尾流优化
Wake optimization in curtailed wind farms based on turbine start-stop strategy
摘要
Abstract
Under wind curtailment conditions,wind farm power generation was constrained,and starting only a few turbines is enough to fulfill the task while excessive activated turbines can exacerbate wake effects.This study,based on three-dimensional models and a chaotic binary particle swarm optimization algorithm,focuses on a wind farm in the northern plains of China to investigate the turbine start-stop strategies under curtailment conditions.The goal is to complete the power generation task by rationally starting up a few turbines to mitigate the wake effects,improve the power generation efficiency and reliability of the turbines.The results show that under different curtailment rates,the turbine start-stop optimization strategy outperforms the uniform load distribution strategy.At a 36%curtailment rate,the optimization strategy increases the wind farm aerodynamic efficiency by 1.72%～6.79%and reduces the maximum turbulence intensity by 16.94%～38.07%.As the curtailment rate declines,the optimization efficacy diminishes.The operational duration of 32%of turbines is reduced by 50%,while downstream turbines strategically avoid near-wake regions through shutdown operations,leading to reduced and more uniformly distributed turbulence intensity within their rotor-swept areas.关键词
风电场/机组启停策略/风力机尾流/湍流强度/多目标优化Key words
wind farm/turbine start-stop strategy/wind turbine wake/turbulence identity/multi-objective optimization分类
能源科技引用本文复制引用
刘一格,赵振宙,刘岩,刘惠文..基于机组启停策略的弃风风电场尾流优化[J].华中科技大学学报（自然科学版）,2025,53(7):38-44,51,8.基金项目
国家自然科学基金资助项目(52376179,51876054) （52376179,51876054）
江苏省自然科学基金青年项目(BK20210370) （BK20210370）
江苏省研究生科研创新项目(KYCX24_0830). （KYCX24_0830）
