DocumentCode :
2368539
Title :
An interpretation of stochastic voltage collapse indication
Author :
Hassan, R.M. ; Nwankpa, C.O.
Author_Institution :
Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
fYear :
1995
fDate :
7-12 May 1995
Firstpage :
40
Lastpage :
46
Abstract :
This paper attempts to justify claims made by the authors concerning the application of a power system stochastic voltage collapse indicator (SVCI). Since the SVCI is an approximate solution to a system of stochastic differential equations, the authors present a scheme to evaluate its validity. The scheme involves the use of Monte-Carlo techniques where for a given confidence interval, samples representing different realizations of the modeled uncertain power system will be run with the goal of obtaining the sampled value of the SVCI. Accuracy and sensitivity of the indicator are compared to benchmark measurements obtained from Monte-Carlo runs of a dynamic power system perturbed by small-magnitude perturbations. Strong correlation between the two sets of values for the SVCI and its sampled counterpart will give credence to the application of the SVCI to voltage stability studies
Keywords :
Monte Carlo methods; difference equations; digital simulation; power system analysis computing; power system stability; stochastic processes; Monte-Carlo techniques; accuracy; computer simulation; confidence interval; power system voltage stability; sensitivity; small-magnitude perturbations; stochastic differential equations; stochastic voltage collapse indicator; Differential equations; Power system dynamics; Power system measurements; Power system modeling; Power system simulation; Power system stability; Power systems; Stochastic processes; Stochastic systems; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Industry Computer Application Conference, 1995. Conference Proceedings., 1995 IEEE
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-2663-6
Type :
conf
DOI :
10.1109/PICA.1995.515163
Filename :
515163
Link To Document :
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