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
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