HEAL DSpace

Interactive package for risk evaluation and maintenance scheduling

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dc.contributor.author Contaxis George, C en
dc.contributor.author Kavatza Stavroula, D en
dc.contributor.author Vournas Constantine, D en
dc.date.accessioned 2014-03-01T01:07:23Z
dc.date.available 2014-03-01T01:07:23Z
dc.date.issued 1989 en
dc.identifier.issn 0885-8950 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/9966
dc.subject cumulant en
dc.subject Objective Function en
dc.subject Outage Probability en
dc.subject Power System en
dc.subject Preventive Maintenance en
dc.subject Risk Evaluation en
dc.subject Systemic Risk en
dc.subject.classification Engineering, Electrical & Electronic en
dc.subject.other Computer Systems, Digital--Interactive Operation en
dc.subject.other Maintenance--Scheduling en
dc.subject.other Capacity Outage Probability Table en
dc.subject.other Levelize Effective Reserve en
dc.subject.other Levelize Reserve en
dc.subject.other Maintenance Scheduling en
dc.subject.other Risk Evaluation en
dc.subject.other Electric Power systems en
dc.title Interactive package for risk evaluation and maintenance scheduling en
heal.type journalArticle en
heal.identifier.primary 10.1109/59.193807 en
heal.identifier.secondary http://dx.doi.org/10.1109/59.193807 en
heal.language English en
heal.publicationDate 1989 en
heal.abstract A description is given of an interactive computer package for evaluating the risk level of a power system and for scheduling the preventive maintenance of the system's generating units. The risk is evaluated via the loss-of-load probability (LOLP). The objective function of the maintenance scheduling is the minimization of the annual system risk. Exact LOLP calculation using the capacity outage probability table and approximate calculation routines based on the cumulants method are incorporated as options of the package. The maintenance can be scheduled using three different approaches: levelize reserve, levelize effective reserve, and levelize incremental risk. The effective reserve and the incremental risk of a unit are probabilistic quantities. An example of an approximate model of the Hellenic power system is included. en
heal.publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC en
heal.journalName IEEE Transactions on Power Systems en
dc.identifier.doi 10.1109/59.193807 en
dc.identifier.isi ISI:A1989U009400001 en
dc.identifier.volume 4 en
dc.identifier.issue 2 en
dc.identifier.spage 389 en
dc.identifier.epage 395 en


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