NDLI: Probabilistic Short-Circuit Analysis by Monte Carlo Simulations and Analytical Methods

Content Provider	IEEE Xplore Digital Library
Author	Balouktsis, A. Tsanakas, D. Vachtsevanos, G.
Copyright Year	1969
Abstract	The probability distribution of short-circuit currents in a bus or a section of a line represents basic information in planning, reliability, and risk assessment studies. This paper presents two methods for the development of the probability distribution of fault currents. The first one is based upon a Monte Carlo simulation while the second utilizes analytical expressions derived from probability theory. The Monte Carlo approach is more general but requires an extensive computational effort; the analytical method is only applicable to three-phase faults, but provides an accurate determination of short-circuit currents at a much reduced computational cost. For both approaches, a method has been developed to determine short-circuit currents for faults along various points by recalculating elements of the bus impedance matrix without a need to invert, each time, the bus admittance matrix. This technique allows for the analysis of large systems by limiting considerably the computation time. For example, computational effort was reduced approximately by a factor of four for a 16 bus system and by a factor of six for a 24 bus system.
Sponsorship	IEEE Power Engineering Society
Starting Page	135
Ending Page	140
Page Count	6
File Size	1383527
File Format	PDF
ISSN	08858950
Volume Number	1
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1986-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Probability distribution Impedance Transmission line matrix methods Power system analysis computing Fault currents Admittance Power system faults Power system modeling Analytical models Information analysis
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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