DocumentCode
3584408
Title
Search strategies for failure cascade paths in power system graphs
Author
Zhang, Jianfeng ; Bucklew, James A. ; Alvarado, Fernando L.
Author_Institution
Midwest ISO, Carmel, IN, USA
fYear
2004
Firstpage
651
Lastpage
656
Abstract
This paper addresses computer simulation of cascading failures in electric power systems. The paper analyzes the convergence rates of estimator variance in importance sampling and in random search strategies. A uniform search strategy based on Metropolis algorithm is proposed.
Keywords
convergence; failure analysis; graph theory; importance sampling; power system faults; power system interconnection; power system security; power system simulation; Metropolis algorithm; computer simulation; convergence rates; electric power system cascading failure; estimator variance; importance sampling; power system graph; power system security; random search strategy; Analysis of variance; Convergence; Monte Carlo methods; Power system analysis computing; Power system security; Power system simulation; Power systems; Random number generation; Random variables; State-space methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Probabilistic Methods Applied to Power Systems, 2004 International Conference on
Print_ISBN
0-9761319-1-9
Type
conf
Filename
1378764
Link To Document