DocumentCode :
2637937
Title :
Probabilistic vulnerability assessment based on power flow and voltage distribution
Author :
Ma, Jian ; Huang, Zhenyu ; Wong, Pak Chung ; Ferryman, Tom ; Northwest, Pacific
Author_Institution :
National Laboratory (PNNL), Richland, WA 99352, USA
fYear :
2010
fDate :
19-22 April 2010
Firstpage :
1
Lastpage :
8
Abstract :
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.
Keywords :
Large-scale systems; Load flow; Power system analysis computing; Power system measurements; Power system modeling; Power system planning; Power system reliability; Power system simulation; Power transmission lines; Voltage; Gram-Charlier expansion vulnerability assessment; Probabilistic power flow; cumulant based expansion; cumulative distribution function; probability distribution function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transmission and Distribution Conference and Exposition, 2010 IEEE PES
Conference_Location :
New Orleans, LA, USA
Print_ISBN :
978-1-4244-6546-0
Type :
conf
DOI :
10.1109/TDC.2010.5484304
Filename :
5484304
Link To Document :
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