DocumentCode :
1172896
Title :
A Probabilistic Approach to Power System Stability Analysis
Author :
Anderson, Paul M. ; Bose, Anjan
Author_Institution :
Electrical and Computer Engineering Arizona State University
Issue :
8
fYear :
1983
Firstpage :
2430
Lastpage :
2439
Abstract :
Power system stability analysis is usually performed in a deterministic framework in which the time domain response of the power system is studied for certain specific disturbances to determine the adequacy of the system. However, the occurrence of disturbances and their attendant protective switching sequences are random processes and it would be more meaningful to determine the probability of stability for a power system. An approach for such a determination is presented in this paper. The probability of steady state stability is relatively easier to determine because of the linearization of the system equations. The probability of transient stability, on the other hand, is much more difficult to obtain analytically because of the nonlinear transformations required. However, a Monte Carlo simulation method to determine transient stability probability is shown to be feasible.
Keywords :
Nonlinear equations; Performance analysis; Power system analysis computing; Power system protection; Power system stability; Power system transients; Random processes; Steady-state; Time domain analysis; Transient analysis;
fLanguage :
English
Journal_Title :
Power Apparatus and Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9510
Type :
jour
DOI :
10.1109/TPAS.1983.317742
Filename :
4112235
Link To Document :
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