Probabilistic short-circuit analysis by Monte Carlo simulations

Journal Article · Sun May 01 04:00:00 EDT 1983 · IEEE Trans. Power Appar. Syst.; (United States)

DOI:https://doi.org/10.1109/TPAS.1983.318078· OSTI ID:5957800

El-Kady, M A

The probability distribution of fault currents associated with a certain region of interest in a power network represents basic information needed in various planning, reliability assessment and risk studies. Probabilistic fault analysis by Monte Carlo simulations is simple to implement and it provides reliable results. It is, however, characterized by some analytical and computational difficulties due to the increased problem size and the random variations of system and fault data which are assigned and processed internally in the programming algorithm. This paper summarizes the main aspects and the results of a relevant study, performed recently at Ontario Hydro, and presents some analytical developments which have led to overcoming computational difficulties and to successful programming implementation.

• Research Organization: Ontario Hydro Toronto, Ontario
• OSTI ID: 5957800
• 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
ALGORITHMS
CALCULATION METHODS
CANADA
ELECTRICAL FAULTS
ENERGY SYSTEMS
INTERCONNECTED POWER SYSTEMS
MATHEMATICAL LOGIC
MONTE CARLO METHOD
NORTH AMERICA
ONTARIO
PLANNING
POWER SYSTEMS
PROBABILITY
RELIABILITY
RISK ASSESSMENT
SIMULATION