Probabilistic Vulnerability Assessment Based on Power Flow and Voltage Distribution

被引：0
|
作者：
Ma, Jian [1 ]
Huang, Zhenyu [1 ]
Wong, Pak Chung [1 ]
Ferryman, Tom [1 ]
机构：
[1] Pacific NW Natl Lab PNNL, Richland, WA 99352 USA
来源：
2010 IEEE PES TRANSMISSION AND DISTRIBUTION CONFERENCE AND EXPOSITION: SMART SOLUTIONS FOR A CHANGING WORLD | 2010年
关键词：
Probabilistic power flow; cumulant based expansion; Gram-Charlier expansion vulnerability assessment; cumulative distribution function; probability distribution function; RELIABILITY; RISK;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper, a method to evaluate the power system vulnerability in terms of voltage magnitudes and transmission lines passing their limits is presented. Probabilistic technique is applied to obtain the distribution characteristics of the voltage magnitude and transmission line power flows. Cumulant-based expansion method is used to obtain the probabilistic distribution function (PDF) and cumulative distribution function (CDF) of power flows on transmission lines and voltage magnitudes at buses. The index to measure the system vulnerability is developed. The western North American power system model is used in the simulation to demonstrate the effectiveness of the method.
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页数：8
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