DocumentCode
2203633
Title
Monte Carlo simulation for reliability analysis of emergency and standby power systems
Author
Singh, Chanan ; Mitra, Joydeep
Author_Institution
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Volume
3
fYear
1995
fDate
8-12 Oct 1995
Firstpage
2290
Abstract
This paper describes a sequential Monte Carlo simulation method for the reliability analysis of standby and emergency power systems. The results obtained from this method are compared with those from the Markov cut-set approach. It is shown that the Monte Carlo simulation can yield additional useful information on the probability distribution of indices in addition to obtaining the estimates of the mean values
Keywords
Monte Carlo methods; emergency power supply; power system analysis computing; power system reliability; probability; Markov cut-set approach; Monte Carlo simulation; emergency power systems; mean values estimation; probability distribution; reliability analysis; standby power systems; Discrete event simulation; Frequency; Power supplies; Power system analysis computing; Power system reliability; Power system simulation; Probability distribution; Sampling methods; Timing; Yield estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Industry Applications Conference, 1995. Thirtieth IAS Annual Meeting, IAS '95., Conference Record of the 1995 IEEE
Conference_Location
Orlando, FL
ISSN
0197-2618
Print_ISBN
0-7803-3008-0
Type
conf
DOI
10.1109/IAS.1995.530594
Filename
530594
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