考虑尾流效应的风电场建模以及随机潮流计算  

Modeling of Large-Scale Wind Farms in the Probabilistic Power Flow Analysis Considering Wake Effects

作　　者：郑睿敏[1] 李建华[1] 李作红[1] 刘议华[1] 

机构地区：[1]西安交通大学电气工程学院,西安710049

出　　处：《西安交通大学学报》2008年第12期1515-1520,共6页Journal of Xi'an Jiaotong University

基　　金：国家高技术研究发展计划资助项目(2006AA05Z247)

摘　　要：采用变量变换法拟合了风速频率的三参数Weibull分布函数,在风能分布的Jensen和Lis-saman模型的基础上,结合风速的频率分布模型与风力发电机组的单机稳态模型,建立了大型并网运行风电场的综合模型.该模型同时考虑了尾流效应和风电场地形因素对不同位置风机风速的影响,得到了考虑以上因素时风电场的输出功率.在此基础上,应用蒙特卡罗法对风电场接入系统进行了随机潮流计算.最后,以40机的风电场为例建立了风电场模型,将此模型引入到IEEE14系统中,通过随机潮流计算得到系统节点电压的概率分布以及风电场输出功率的概率分布,分析了风电场并网运行对系统各节点电压的影响,从而为减小风电接入系统的电压波动提供参考.Based on the Jensen model and Lissaman model and combined the frequency distribution model of wind speed and steady-state model of wind turbine generator, an integrated model for large wind farm is proposed which is connected directly to the distribution grid. Considering the energy loss caused by wake effect and impact of topographical factor on wind speed of wind turbine in different location, the output of whole wind farm can be evaluated via the model. Then, the model is applied in the IEEE 14-bus test feeder to analyze the impact of wind farm on nodal voltage of power system and give reference for reducing voltage fluctuation. Moreover, the variable transformation is adopted to estimate the parameters of three-parameter Weibull distribution function.

关 键 词：风电场 尾流效应 变量变换 随机潮流 

分 类 号：TM744[电气工程—电力系统及自动化] TM614