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 |