Publication
Day-ahead Resource Scheduling Including Demand Response for Electric Vehicles
| dc.contributor.author | Soares, João | |
| dc.contributor.author | Sousa, Tiago | |
| dc.contributor.author | Morais, Hugo | |
| dc.contributor.author | Vale, Zita | |
| dc.date.accessioned | 2014-12-09T12:48:30Z | |
| dc.date.available | 2014-12-09T12:48:30Z | |
| dc.date.issued | 2013-03 | |
| dc.description.abstract | The energy resource scheduling is becoming increasingly important, as the use of distributed resources is intensified and massive gridable vehicle (V2G) use is envisaged. This paper presents a methodology for day-ahead energy resource scheduling for smart grids considering the intensive use of distributed generation and V2G. The main focus is the comparison of different EV management approaches in the day-ahead energy resources management, namely uncontrolled charging, smart charging, V2G and Demand Response (DR) programs i n the V2G approach. Three different DR programs are designed and tested (trip reduce, shifting reduce and reduce+shifting). Othe r important contribution of the paper is the comparison between deterministic and computational intelligence techniques to reduce the execution time. The proposed scheduling is solved with a modified particle swarm optimization. Mixed integer non-linear programming is also used for comparison purposes. Full ac power flow calculation is included to allow taking into account the network constraints. A case study with a 33-bus distribution network and 2000 V2G resources is used to illustrate the performance of the proposed method. | por |
| dc.identifier.citation | Soares, J.; Morais, H.; Sousa, T.; Vale, Z.; Faria, P., "Day-Ahead Resource Scheduling Including Demand Response for Electric Vehicles," Smart Grid, IEEE Transactions on , vol.4, no.1, pp.596,605, March 2013 doi: 10.1109/TSG.2012.2235865 | por |
| dc.identifier.doi | 10.1109/TSG.2012.2235865 | |
| dc.identifier.uri | http://hdl.handle.net/10400.22/5242 | |
| dc.language.iso | eng | por |
| dc.peerreviewed | yes | por |
| dc.publisher | IEEE | por |
| dc.relation | Est-OE/EEI/UI0760/2011 | por |
| dc.relation | PTDC/EEA-EEL/099832/20 | por |
| dc.relation | PTDC/SEN-ENR/099844/20 | por |
| dc.relation.ispartofseries | IEEE Transactions on Smart Grid;Vol. 4, Issue 1 | |
| dc.relation.publisherversion | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6410473&queryText%3DDay-ahead+Resource+Scheduling+Including+Demand+Response+for+Electric+Vehicles | por |
| dc.subject | Demand response | por |
| dc.subject | electric vehicle | por |
| dc.subject | Energy resource management | por |
| dc.subject | Particle swarm optimization | por |
| dc.title | Day-ahead Resource Scheduling Including Demand Response for Electric Vehicles | por |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/5876-PPCDTI/PTDC%2FSEN-ENR%2F122174%2F2010/PT | |
| oaire.citation.endPage | 605 | por |
| oaire.citation.startPage | 596 | por |
| oaire.citation.title | IEEE Transactions on Smart Grid | por |
| oaire.citation.volume | 4 | por |
| oaire.fundingStream | 5876-PPCDTI | |
| person.familyName | Soares | |
| person.familyName | Morais | |
| person.familyName | Vale | |
| person.givenName | João | |
| person.givenName | Hugo | |
| person.givenName | Zita | |
| person.identifier | 1043580 | |
| person.identifier | 80878 | |
| person.identifier | 632184 | |
| person.identifier.ciencia-id | 1612-8EA8-D0E8 | |
| person.identifier.ciencia-id | 2010-D878-271B | |
| person.identifier.ciencia-id | 721B-B0EB-7141 | |
| person.identifier.orcid | 0000-0002-4172-4502 | |
| person.identifier.orcid | 0000-0001-5906-4744 | |
| person.identifier.orcid | 0000-0002-4560-9544 | |
| person.identifier.rid | A-5824-2012 | |
| person.identifier.scopus-author-id | 35436109600 | |
| person.identifier.scopus-author-id | 21834170800 | |
| person.identifier.scopus-author-id | 7004115775 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | por |
| rcaap.type | article | por |
| relation.isAuthorOfPublication | 9ece308b-6d79-4cec-af91-f2278dcc47eb | |
| relation.isAuthorOfPublication | b159f8c9-5ee1-444e-b890-81242ee0738e | |
| relation.isAuthorOfPublication | ff1df02d-0c0f-4db1-bf7d-78863a99420b | |
| relation.isAuthorOfPublication.latestForDiscovery | ff1df02d-0c0f-4db1-bf7d-78863a99420b | |
| relation.isProjectOfPublication | 1b5dd3a3-6876-443f-b69a-076b417de880 | |
| relation.isProjectOfPublication.latestForDiscovery | 1b5dd3a3-6876-443f-b69a-076b417de880 |