Opportunistic info-gap approach for optimization of electrical and heating loads in multi-energy systems in the presence of a demand response program

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dc.contributor.authorVahid-Ghavidel, Morteza
dc.contributor.authorJavadi, Mohammad S.
dc.contributor.authorSantos, Sérgio F.
dc.contributor.authorGough, Matthew
dc.contributor.authorShafie-khah, Miadreza
dc.contributor.authorCatalão, João P. S.
dc.contributor.authorSantos, Sérgio F.
dc.date.accessioned2022-09-06T10:26:09Z
dc.date.available2022-09-06T10:26:09Z
dc.date.issued2021-11-03
dc.description.abstractThere are significant changes occurring both in the electricity system and the natural gas system. These two energy carries can be combined to form what is known as an energy hub. These energy hubs can play a significant role in the energy system and thus understanding of their optimization, especially their costs, is important. This paper proposes a risk management framework for an energy-hub through the utilization of the information-gap decision theory (IGDT). The uncertainties introduced from the various load profiles, such as the electric and heating loads, are considered in this risk management framework. The modeled energy-hub consists of several distributed generation systems such as a micro-combined heat and power (μCHP), electric heat pump (EHP), electric heater (EH), absorption chiller (AC) and an energy storage system (ESS). A demand response (DR) program is also considered to shift a percentage of electric load away from the peak period to minimize the operational cost of the hub. A feasible test system is also applied to demonstrate the proposed model’s effectiveness.pt_PT
dc.identifier.citationVahid-Ghavidel, M., Javadi, M. S., Santos, S. F., Gough, M., Shafie-khah, M., & Catalão, J. P. S. (2021). Opportunistic info-gap approach for optimization of electrical and heating loads in multi-energy systems in the presence of a demand response program. In 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Bari, Italy, 7th-10th September 2021 (pp. 1-6). 10.1109/EEEIC/ICPSEurope51590.2021.9584597. Repositório Institucional UPT. http://hdl.handle.net/11328/4430pt_PT
dc.identifier.doi10.1109/EEEIC/ICPSEurope51590.2021.9584597pt_PT
dc.identifier.isbn978-1-6654-3613-7 (Electronic)
dc.identifier.urihttp://hdl.handle.net/11328/4430
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relationSupport by FEDER funds through COMPETE 2020 and by Portuguese funds through FCT, under POCI-01- 0145-FEDER-029803 (02/SAICT/2017)pt_PT
dc.rightsopen accesspt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectDemand responsept_PT
dc.subjectEnergy-hubpt_PT
dc.subjectInfo-gap Theorypt_PT
dc.subjectDistributed generation systempt_PT
dc.subjectRisk managementpt_PT
dc.subjectUncertaintypt_PT
dc.titleOpportunistic info-gap approach for optimization of electrical and heating loads in multi-energy systems in the presence of a demand response programpt_PT
dc.typeconferenceObjectpt_PT
degois.publication.firstPage1pt_PT
degois.publication.lastPage6pt_PT
degois.publication.locationBari, Italypt_PT
degois.publication.title2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)pt_PT
dspace.entity.typePublicationen
person.affiliation.nameREMIT – Research on Economics, Management and Information Technologies
person.familyNameSantos
person.givenNameSérgio F.
person.identifier.ciencia-idE41A-D6C6-E3D7
person.identifier.orcid0000-0003-3277-2833
person.identifier.ridGNM-6353-2022
person.identifier.scopus-author-id56483358000
relation.isAuthorOfPublicationd0a5755c-d682-4ead-bf2a-ce1ad6c63ede
relation.isAuthorOfPublication.latestForDiscoveryd0a5755c-d682-4ead-bf2a-ce1ad6c63ede

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