DocumentCode :
1435438
Title :
Voltage stability analysis based on probabilistic power flow and maximum entropy
Author :
Zhang, Jian F. ; Tse, C.T. ; Wang, W. ; Chung, C.Y.
Author_Institution :
Dept. of Electr. Eng., Hong Kong Polytech. Univ., Hong Kong, China
Volume :
4
Issue :
4
fYear :
2010
fDate :
4/1/2010 12:00:00 AM
Firstpage :
530
Lastpage :
537
Abstract :
Methods of determination of voltage stability margin index had been well established. This study adopts a new method to determine the probabilistic distribution of margin index taking into account the random variations of bus loads. First, the probabilistic technique and the Jacobian method are combined to determine the probabilistic characteristics of stability margins and nodal voltages at the maximum load points. Then, according to these probabilistic characteristics, maximum entropy method is adopted to determine the probabilistic distribution of stability margin. Last, the proposed method is investigated on two test systems with random active and reactive loads. Monte Carlo simulations are used as a reference solution to evaluate the accuracy of the proposed method.
Keywords :
Monte Carlo methods; maximum entropy methods; power system stability; Jacobian method; Monte Carlo simulations; margin index; maximum entropy method; probabilistic distribution; voltage stability analysis;
fLanguage :
English
Journal_Title :
Generation, Transmission & Distribution, IET
Publisher :
iet
ISSN :
1751-8687
Type :
jour
DOI :
10.1049/iet-gtd.2009.0071
Filename :
5427312
Link To Document :
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