Abstract | ||
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This paper treats a particular type of Markov system: time nonhomogeneous Markov system in discrete time. In order to adapt measures to this kind of system, performability measures are formulated, such as new indicators more dedicated to electrical power systems like `instantaneous mean load curtailed' and `mean energy not supplied on a time interval'. This method considers hazard-rate time variation in order to: 1) obtain more-accurate and more-instructive indicators; and 2) access new performability indicators that cannot be obtained by classical methods. An example from an Electricite De France electrical substation illustrates this |
Year | DOI | Venue |
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1996 | 10.1109/24.556582 | IEEE Transactions on Reliability |
Keywords | Field | DocType |
Markov processes,failure analysis,power system reliability,probability,substations,Electricite De France,discrete time nonhomogeneous Markov chains,electric power system performability,electrical substation,hazard-rate time variation,instantaneous mean load curtailed,mean energy not supplied on a time interval,performability indicators | Mathematical optimization,Markov process,Simulation,State diagram,Markov chain,Electric power system,Failure rate,Discrete time and continuous time,Discrete system,Mathematics,Reliability engineering,Power station | Journal |
Volume | Issue | ISSN |
45 | 4 | 0018-9529 |
Citations | PageRank | References |
7 | 0.61 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Agapios N. Platis | 1 | 68 | 10.21 |
Nikolaos Limnios | 2 | 83 | 6.93 |
Le Du, M. | 3 | 7 | 0.61 |