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
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;
Conference_Titel :
Industry Applications Conference, 1995. Thirtieth IAS Annual Meeting, IAS '95., Conference Record of the 1995 IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-3008-0
DOI :
10.1109/IAS.1995.530594
