Multi-energy Microgrid Scheduling: A multi-vector demonstrator case study

dc.contributor.affiliationNewcastle University
dc.contributor.affiliationNewcastle University
dc.contributor.affiliationNewcastle University
dc.contributor.affiliationNewcastle University
dc.contributor.authorZografou-Barredo, Natalia-Maria
dc.contributor.authorPatsios, Charalampos
dc.contributor.authorWalker, Sara Louise
dc.contributor.authorDavison, Peter
dc.contributor.countryUnited Kingdom
dc.contributor.countryUnited Kingdom
dc.contributor.countryUnited Kingdom
dc.contributor.countryUnited Kingdom
dc.contributor.detailedauthorZografou-Barredo, Natalia-Maria, Newcastle University, United Kingdom
dc.contributor.detailedauthorPatsios, Charalampos , Newcastle University, United Kingdom
dc.contributor.detailedauthorWalker, Sara Louise, Newcastle University, United Kingdom
dc.contributor.detailedauthorDavison, Peter , Newcastle University, United Kingdom
dc.date.accessioned2019-07-24T12:44:03Z
dc.date.available2019-07-24T12:44:03Z
dc.date.conferencedate3-6 June 2019
dc.date.issued2019-06-03
dc.description.abstractThe aim of this paper, is to provide a day-ahead optimal scheduling scheme for a multi-energy microgrid (MEM) which represents a real-world multi-vector demonstrator. The optimal scheduling scheme is tested against data from the multi-vector demonstrator in five different scenarios of the day-ahead demand and market prices. The assets of the multi-vector demonstrator include: a combined heat and power (CHP) plant, a central gas boiler, an energy storage system (ESS), a solar PV, an electric heater, and an electric vehicle (EV) filling station. The optimal scheduling scheme has been formed in order to capture the energy flows of the MEM. The problem is mathematically formulated as a mixed integer linear programming problem. A numerical case study verifies the effectiveness of the proposed scheduling scheme.
dc.description.conferencelocationMadrid, Spain
dc.description.conferencenameCIRED 2019
dc.description.openaccessYes
dc.description.peerreviewedYes
dc.description.sessionOperation, control and protection
dc.description.sessionidSession 3
dc.identifier.isbn978-2-9602415-0-1
dc.identifier.issn2032-9644
dc.identifier.urihttps://cired-repository.org/handle/20.500.12455/566
dc.identifier.urihttp://dx.doi.org/10.34890/791
dc.language.isoen
dc.publisherAIM
dc.relation.ispartProc. of the 25th International Conference on Electricity Distribution (CIRED 2019)
dc.relation.ispartofseriesCIRED Conference Proceedings
dc.titleMulti-energy Microgrid Scheduling: A multi-vector demonstrator case study
dc.title.number1773
dc.typeConference Proceedings
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
CIRED 2019 - 1773.pdf
Size:
884.54 KB
Format:
Adobe Portable Document Format