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Consideration of ramp rate constraints in unit commitment using simulated annealing

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dc.contributor.author Simopoulos, D en
dc.contributor.author Kavatza, S en
dc.date.accessioned 2014-03-01T02:43:11Z
dc.date.available 2014-03-01T02:43:11Z
dc.date.issued 2005 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/31278
dc.subject Generation scheduling en
dc.subject Ramp rate constraints en
dc.subject Simulated annealing en
dc.subject Unit commitment en
dc.subject.other Boolean functions en
dc.subject.other Computer simulation en
dc.subject.other Economic analysis en
dc.subject.other Mathematical programming en
dc.subject.other Nonlinear programming en
dc.subject.other Quadratic programming en
dc.subject.other Ramp generators en
dc.subject.other Solutions en
dc.subject.other Generation scheduling en
dc.subject.other Ramp rate constraints en
dc.subject.other Simulated annealing algorithm en
dc.subject.other Unit commitment en
dc.subject.other Simulated annealing en
dc.title Consideration of ramp rate constraints in unit commitment using simulated annealing en
heal.type conferenceItem en
heal.identifier.primary 10.1109/PTC.2005.4524359 en
heal.identifier.secondary http://dx.doi.org/10.1109/PTC.2005.4524359 en
heal.identifier.secondary 4524359 en
heal.publicationDate 2005 en
heal.abstract This paper proposes a simulated annealing algorithm combined with a dynamic economic dispatch to consider the ramp rate constraints in the unit commitment problem. Simulated annealing is used for the scheduling of the generating units, while the economic load dispatch is performed dynamically through a quadratic programming routine. The inclusion of ramp rates is achieved by performing either a backward or a forward sequence of conventional economic dispatches with modified limits on the generators, depending on the candidate solution (schedule) provided by the simulated annealing algorithm. The proposed algorithm provides feasible near optimal solutions in reasonable time. Numerical simulations have proved the effectiveness of the proposed model. en
heal.journalName 2005 IEEE Russia Power Tech, PowerTech en
dc.identifier.doi 10.1109/PTC.2005.4524359 en


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