Weather factor based analysis on probabilistic load flow of power grid containing wind farms

被引：0
|
作者：
机构：
[1] School of Electrical Engineering, Zhejiang University, Hangzhou , 310027, Zhejiang Province
[2] Shinan Power Supply Company, State Grid Shanghai Municipal Electric Power Company, Xuhui District, Shanghai
来源：
Zhang, Kaixuan (cashionchang@126.com) | 1600年 / Power System Technology Press卷 / 38期
基金：
中国国家自然科学基金;
关键词：
Cumulant; Probabilistic load flow (PLF); Three-state weather model; Wind farms;
D O I：
10.13335/j.1000-3673.pst.2014.12.023
中图分类号：
学科分类号：
摘要：
Probabilistic load flow (PLF) plays an important role in the analysis on power grid uncertainty. A wind farm model considering the forced outage of wind turbines and the nonlinear relationship between wind speed and wind power output is proposed. To research the power flow variation in power grid containing wind farms under different weather situations effectively, the three-state weather model is lead into to simulate the impacts of weather situation on the forced outage of overhead transmission lines and wind turbines, and a probabilistic wind farm output model, in which the nonlinear relation between wind farm output and wind speed and the faults of wind turbine are taken into account, is derived to describe the probabilistic characteristic of wind farm output under obvious wind speed fluctuation more accurately. This problem is solved by cumulant based PLF method, and utilizing Gram-Charlier series and the von Mises method the continuous part and discrete part of the state variable to be solved are obtained respectively. The simulation results of modified IEEE RTS show that it is necessary and reasonable to take the nonlinear relation between wind turbine output and the wind speed and the fault of wind turbine into account; the weather factor greatly affects the power flow distribution in the power grid containing wind farms. ©, 2014, Power System Technology Press. All right reserved.
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页码：3418 / 3423
页数：5
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