含大型风电场的电力系统概率最大输电能力快速计算

Fast Calculation and Analysis of Probabilistic Total Transfer Capability in Power System Including Large-scale Wind Farms

针对含大型风电场的电力系统概率最大输电能力(total transfer capability,TTC)展开研究,建立了加入异步风力发电机模型的含参潮流模型,推导了含风电场注入功率项的全注入空间静态电压稳定域边界局部切平面解析式,在此基础上提出了将MonteCarlo仿真和电压稳定域方法相结合的综合考虑风电场风速、负荷、发电机出力和设备故障不确定性因素的概率TTC分层快速计算方法。利用该方法进一步分析了风速概率分布参数对TTC的影响,结果表明,准确获取风电场风速分布参数是准确计算概率TTC的前提。

The paper presents a set of parameterized power flow equations containing asynchronous generator model, derives a hyper-plane equation to estimate part of the static voltage stability region boundary in the extended full injection space including wind power. Then a fast probabilistic method to evaluate total transfer capability （TTC） in power system including large-scale wind farms is developed, in which wind speed, loads, generation and device outage uncertainties are considered at the same time. Compared with traditional methods, the proposed method can not only consider conveniently the influence of wind power randomness, but also significantly reduce the computation load while maintaining a satisfied accuracy. Further more, the influence of wind speed probability distribution parameters on TTC is revealed based on the method.