An advanced probabilistic short-circuit program

Journal Article · Sun May 01 00:00:00 EDT 1983 · IEEE Trans. Power Appar. Syst.; (United States)

DOI:https://doi.org/10.1109/TPAS.1983.318069· OSTI ID:5872601

El-Kady, M A; Ford, G L

This paper presents a fully documented, sparsity-oriented probabilistic fault analysis program using Monte Carlo simulations. The program provides the probability distributions of bus and line currents in particular regions of a power network with provision for random variation of system and fault data. The program exploits a dynamic memory scheme and sparsity-based manipulations together with an advanced method of treating mutual coupling between lines for repeat faults in regions containing up to 680 buses (including network equivalents). The program is capable of simulating different types of symmetrical and unsymmetrical bus and/or line faults assigned randomly with complete flexibility for biasing the fault data. The program offers a variety of options for processing fault data and for printing brief or detailed intermediate and final output results.

• Research Organization: Ontario Hydro Toronto, Ontario
• OSTI ID: 5872601
• Journal Information: IEEE Trans. Power Appar. Syst.; (United States), Journal Name: IEEE Trans. Power Appar. Syst.; (United States) Vol. 102:5; ISSN IEPSA
• Country of Publication: United States
• Language: English

Related Subjects

200300* -- Electric Power Engineering-- Power Transmission & Distribution-- (-1989)
24 POWER TRANSMISSION AND DISTRIBUTION
COMPUTER CODES
CURRENTS
ELECTRIC CURRENTS
ELECTRICAL FAULTS
ENERGY SYSTEMS
FAULT TREE ANALYSIS
MONTE CARLO METHOD
POWER SYSTEMS
POWER TRANSMISSION LINES
PROBABILITY
SYSTEM FAILURE ANALYSIS
SYSTEMS ANALYSIS