文章摘要
顾波,张洋,任岩,等.风电场尾流分布计算及场内优化控制方法[J].电力系统自动化,2017,41(18):124-129. DOI: 10.7500/AEPS20160303013.
GU Bo,ZHANG Yang,REN Yan, et al.Wake Distribution Calculation and Optimization Control Method for Wind Farms[J].Automation of Electric Power Systems,2017,41(18):124-129. DOI: 10.7500/AEPS20160303013.
风电场尾流分布计算及场内优化控制方法
Wake Distribution Calculation and Optimization Control Method for Wind Farms
DOI:10.7500/AEPS20160303013
关键词: 风电机组  优化控制  风电场  尾流模型  粒子群算法
KeyWords: wind turbines  optimal control  wind farm  wake model  particle swarm optimization(PSO)algorithm
上网日期:2017-09-11
基金项目:河南省重点科技攻关计划资助项目(152102210117)
作者单位E-mail
顾波 华北水利水电大学电力学院, 河南省郑州市 450045 gb19820915@163.com 
张洋 华北水利水电大学电力学院, 河南省郑州市 450045  
任岩 华北水利水电大学电力学院, 河南省郑州市 450045  
刘永前 新能源电力系统国家重点实验室(华北电力大学), 北京市 102206  
摘要:
      对于已建风电场,减少尾流效应,提高风电场整体输出功率,是风电场优化控制的目标之一。文中分析了风电机组状态参数变化与输出功率、尾流分布间的耦合关系,建立了尾流与风轮交汇面积的计算方法,以及多台风电机组尾流的叠加模型。针对不同来流风向及来流风速下风电场尾流分布的不同,提出了一种风电场尾流分布计算方法,用于计算每台风电机组位置处的风速;基于该尾流分布计算方法,以风电场整体输出功率最大为目标函数,轴向诱导因子为优化参数,粒子群算法为优化算法,建立风电场优化控制模型。以丹麦Horns Rev风电场为研究对象,进行计算分析,结果表明:风电场尾流分布计算方法能够准确计算风电场尾流分布,风电场优化控制方法能够提高风电场整体输出功率。
Abstract:
      For existing wind farms, one goal of the wind farm optimization control is to reduce the wake effects and improve the overall power output. The coupling relationship between the variation of state parameters, power output and the wake distribution of wind turbines are analyzed. The calculation method of the intersection area between the wake and the wind rotor is presented. And a wake superposition model among multiple turbines is developed. A wake distribution calculation method is proposed for calculating the wind speed at each turbine location, which can be used to calculate the wind speed distribution of wind farms accurately and efficiently under varying wind speed and direction. Based on the wake distribution calculation model, the power output of overall wind farm is maximized with the axial induction factor of individual wind turbine as the adjustable parameter. The particle swarm optimization(PSO)algorithm is chosen as the optimization searching algorithm, and the wind farm optimal control model is developed. Wind farm Horns Rev in Denmark is selected as example, and the calculation results show that the wind farm wake distribution calculation method is able to accurately calculate the wake distribution, and the wind farm optimization control method will improve the overall power output.
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