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
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;
Conference_Titel :
Probabilistic Methods Applied to Power Systems, 2004 International Conference on
Print_ISBN :
0-9761319-1-9
