DocumentCode :
3665396
Title :
A contingency selection approach considering uncertainty based on interval theory
Author :
Chao Xu; Wei Gu; Zhao Luo; Jianguo Yao; Shengchun Yang; Ke Wang
Author_Institution :
Southeast University, Bangladesh
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
5
Abstract :
The Static Security Assessment of power system is affected by the uncertainty of the power flow distribution introduced by renewable resources. In this paper, a fast contingency selection approach considering load and generation uncertainties is proposed. Firstly, a linearized interval power flow algorithm is developed for post-contingency simulation. Then, an interval number comparison method based on Bayesian Theory is applied in interval contingency index comparison. Finally, an approximately consistent ranking method is introduced to contingency ranking. The effectiveness of the proposed approach is demonstrated by applying it to contingency selection for several IEEE standard test systems and two practical provincial power grids in China. Simulation results indicate that the proposed approach is computationally light and highly accurate under uncertainties.
Keywords :
"Uncertainty","Analytical models","Predictive models","Jacobian matrices","Steady-state","Security","Monitoring"
Publisher :
ieee
Conference_Titel :
Power & Energy Society General Meeting, 2015 IEEE
ISSN :
1932-5517
Type :
conf
DOI :
10.1109/PESGM.2015.7285844
Filename :
7285844
Link To Document :
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