风速相关性对电力系统暂态稳定的影响  

Impact of wind speed correlation on transient stability of power system

作　　者：张龙[1] 黄家栋[1] 王莉莉[1] 

机构地区：[1]新能源电力系统国家重点实验室(华北电力大学),河北保定071003

出　　处：《电力系统保护与控制》2014年第6期77-83,共7页Power System Protection and Control

摘　　要：大型风电场中不同风机间的风速往往会因地理位置较近而具有一定的相关性。将随机响应面法应用于系统暂态稳定分析中,该方法能建立随机输入与输出响应之间的多项式关系,只需少量的仿真次数便可估计响应的统计信息。采用t-Copula函数建立具有相关性的风速模型,并用秩相关矩阵度量风速相关性。将变换后的风速作为随机响应面法的输入,来研究暂态输出响应的统计特性。云南电网的算例表明,风速相关性对系统暂态稳定有一定的影响,考虑风速相关性会使系统暂态稳定分析更贴近实际,对系统安全稳定运行有更明确的指导作用。Wind speeds of different wind turbines in a big wind farm always have correlations because of their close geograpmcai location. This paper applies stochastic response surface method （SRSM） to analyze transient stability of power system. This method establishes polynomial relationship between inputs and transient stochastic output responses, and estimates the probability statistics of output responses by less times of simulation. Then this paper builds wind speed model by t-Copula function and uses rank correlation matrix to measure the correlations of wind speeds. Wind speed vector is transformed as the input of SRSM in order to study the probability statistics of output responses. The case study on Yunnan Power Grid shows that correlations of wind speeds have certain effect on the transient stability of power system. Taking the correlations of wind speeds into consideration makes the analysis of system＇s transient stability more practical, and can guide the stable operation of systems.

关 键 词：COPULA函数 风速相关性 随机响应面法 平方欧式距离 暂态稳定 

分 类 号：TM712.12[电气工程—电力系统及自动化]