Publication
Bidding decision of wind-thermal GenCo in day-ahead market
| dc.contributor.author | Laia, R. | |
| dc.contributor.author | Pousinho, H. M. I. | |
| dc.contributor.author | Melício, R. | |
| dc.contributor.author | Mendes, Victor | |
| dc.date.accessioned | 2017-03-14T13:40:30Z | |
| dc.date.available | 2017-03-14T13:40:30Z | |
| dc.date.issued | 2016 | |
| dc.description.abstract | This paper deals with the self-scheduling problem of a price-taker having wind and thermal power production and assisted by a cyber-physical system for supporting management decisions in a day-ahead electric energy market. The self-scheduling is regarded as a stochastic mixed-integer linear programming problem. Uncertainties on electricity price and wind power are considered through a set of scenarios. Thermal units are modelled by start-up and variable costs, furthermore constraints are considered, such as: ramp up/down and minimum up/down time limits. The stochastic mixed-integer linear programming problem allows a decision support for strategies advantaging from an effective wind and thermal mixed bidding. A case study is presented using data from the Iberian electricity market. (C) 2016 Published by Elsevier Ltd. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | LAIA, R.; [et al] – Bidding decision of wind-thermal GenCo in day-ahead market. In 1st Energy Economics Iberian Conference (EEIC). Lisbon, Portugal. Energy Procedia: Elsevier, 2016. ISSN 1876-6102. http://ac.els-cdn.com/S1876610216316654/1-s2.0-S1876610216316654-main.pdf?_tid=ddf5d920-08b9-11e7-8a06-00000aab0f6b&acdnat=1489498184_2fc784e8b1bb794a673daef7527a60dd. Vol. 106/Pp. 87-96 | pt_PT |
| dc.identifier.doi | 10.1016/j.egypro.2016.12.107 | pt_PT |
| dc.identifier.issn | 1876-6102 | |
| dc.identifier.uri | http://hdl.handle.net/10400.21/6857 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Elsevier | pt_PT |
| dc.relation.publisherversion | http://ac.els-cdn.com/S1876610216316654/1-s2.0-S1876610216316654-main.pdf?_tid=68d719ae-08bb-11e7-a8f4-00000aacb35e&acdnat=1489498846_5704f39c7191302396c7f667328d1ef9 | pt_PT |
| dc.subject | bidding strategy | pt_PT |
| dc.subject | stochastic programming | pt_PT |
| dc.subject | mixed integer linear programming | pt_PT |
| dc.subject | wind thermal coordination | pt_PT |
| dc.title | Bidding decision of wind-thermal GenCo in day-ahead market | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 96 | pt_PT |
| oaire.citation.startPage | 87 | pt_PT |
| oaire.citation.title | Energy Procedia | pt_PT |
| oaire.citation.volume | 106 | pt_PT |
| person.familyName | Mendes | |
| person.givenName | Victor | |
| person.identifier.orcid | 0000-0002-4599-477X | |
| person.identifier.rid | D-2332-2012 | |
| person.identifier.scopus-author-id | 55138675600 | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
| relation.isAuthorOfPublication | a86b9291-f23c-4f09-83d7-9ee691696705 | |
| relation.isAuthorOfPublication.latestForDiscovery | a86b9291-f23c-4f09-83d7-9ee691696705 |
Files
Original bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- Bidding_Decision_VMFMendes_ADEEEA.pdf
- Size:
- 347.16 KB
- Format:
- Adobe Portable Document Format
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: