dc.contributor.author |
Georgopoulou, H |
en |
dc.contributor.author |
Giannakoglou, K |
en |
dc.date.accessioned |
2014-03-01T02:50:56Z |
|
dc.date.available |
2014-03-01T02:50:56Z |
|
dc.date.issued |
2007 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/35227 |
|
dc.subject |
Coarse Grained |
en |
dc.subject |
Cost Function |
en |
dc.subject |
Evolutionary Algorithm |
en |
dc.subject |
Optimization Problem |
en |
dc.subject |
Power Generation |
en |
dc.subject |
Unit Commitment |
en |
dc.subject |
Unit Commitment Problem |
en |
dc.title |
A Two-Level Method for Solving Power Generating Unit Commitment Problems |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1109/PCT.2007.4538508 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/PCT.2007.4538508 |
en |
heal.publicationDate |
2007 |
en |
heal.abstract |
This paper is concerned with the solution of unit commitment problems by means of a two-level evolutionary algorithm (EA), handling the encoded operational states of units. The EA is assisted by the augmented Lagrange relaxation method to compute the optimal units' loading, for each candidate configuration. Emphasis is laid on the reduction of the CPU cost of the proposed method |
en |
heal.journalName |
Power Tech Conference |
en |
dc.identifier.doi |
10.1109/PCT.2007.4538508 |
en |