A technique for reducing computational effort in Monte-Carlo based composite reliability evaluation

Journal Article · Wed Nov 01 04:00:00 EST 1989 · IEEE Transactions on Power Systems; (USA)

DOI:https://doi.org/10.1109/59.41680· OSTI ID:5230383

Oliveira, G C; Pereira, M V.F.; Cunha, S H.F. ^[1]

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1. Centro de Pesquisas de Energia Eletrica, Rio de Janeiro, RJ (Brazil)

This paper describes a new technique for reducing the number of samplings in Monte-Carlo based composite reliability evaluation. The proposed technique uses analytical information from simple models (such as a generation reliability model) as regression variables to reduce the variance of LOLP AND EPNS estimates with the complete (composite) model. Sample size reductions of up to two orders of magnitude were obtained in case studies with a 24-bus modified Reliability Test System and a 124-bus reduced Brazilian system.

• OSTI ID: 5230383
• Journal Information: IEEE Transactions on Power Systems; (USA), Journal Name: IEEE Transactions on Power Systems; (USA) Vol. 4:4; ISSN ITPSE; ISSN 0885-8950
• Country of Publication: United States
• Language: English

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99 GENERAL AND MISCELLANEOUS
990200 -- Mathematics & Computers
ANALYTICAL SOLUTION
COMPUTER CALCULATIONS
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MONTE CARLO METHOD
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RELIABILITY