Reliability constrained unit commitment using simulated annealing

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dc.contributor.author Simopoulos, DN en
dc.contributor.author Kavatza, SD en
dc.contributor.author Vournas, CD en
dc.date.accessioned 2014-03-01T01:25:04Z
dc.date.available 2014-03-01T01:25:04Z
dc.date.issued 2006 en
dc.identifier.issn 0885-8950 en
dc.identifier.uri http://hdl.handle.net/123456789/17528
dc.subject Probabilistic reserve assessment en
dc.subject Reliability constraints en
dc.subject Simulated annealing (SA) en
dc.subject Unit commitment (UC) en
dc.subject.classification Engineering, Electrical & Electronic en
dc.subject.other Algorithms en
dc.subject.other Electric loads en
dc.subject.other Probability en
dc.subject.other Reliability en
dc.subject.other Simulated annealing en
dc.subject.other Probabilistic reserve assessment en
dc.subject.other Reliability constraints en
dc.subject.other Unit commitment en
dc.subject.other Electric power systems en
dc.title Reliability constrained unit commitment using simulated annealing en
heal.type journalArticle en
heal.identifier.primary 10.1109/TPWRS.2006.881128 en
heal.identifier.secondary http://dx.doi.org/10.1109/TPWRS.2006.881128 en
heal.language English en
heal.publicationDate 2006 en
heal.abstract This paper proposes a new method for the incorporation of the unit unavailability and the uncertainty of the load forecast in the solution of the short-term unit commitment problem. The above parameters are taken into account in order to assess the required spinning reserve capacity at each hour of the dispatch period, so as to maintain an acceptable reliability level. The unit commitment problem is solved by a simulated annealing algorithm resulting in near-optimal unit commitment solutions. The evaluation of the required spinning reserve capacity is performed by implementing reliability constraints, based on the expected unserved energy and loss of load probability indexes. In this way, the required spinning reserve capacity is effectively scheduled according to the desired reliability level. Numerical simulations have proven the efficiency of the proposed method. © 2006 IEEE. en
heal.journalName IEEE Transactions on Power Systems en
dc.identifier.doi 10.1109/TPWRS.2006.881128 en
dc.identifier.isi ISI:000241839700027 en
dc.identifier.volume 21 en
dc.identifier.issue 4 en
dc.identifier.spage 1699 en
dc.identifier.epage 1706 en

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