Optimal scheduling of commercial demand response by technical virtual power plants

dc.contributor.authorGough, Matthew
dc.contributor.authorSantos, Sérgio F.
dc.contributor.authorMatos, João M. B. A.
dc.contributor.authorHome-Ortiz, Juan M.
dc.contributor.authorJavadi, Mohammad S.
dc.contributor.authorCastro, R.
dc.contributor.authorCatalão, João P. S.
dc.date.accessioned2022-09-06T10:42:07Z
dc.date.available2022-09-06T10:42:07Z
dc.date.issued2021-09-27
dc.description.abstractThe trend towards a decentralized, decarbonized, and digital energy system is gaining momentum. A key driver of this change is the rapid penetration increase of Distributed Energy Resources (DER). Commercial consumers can offer significant contributions to future energy systems, especially by engaging in demand response services. Virtual Power Plants (VPP) can aggregate and operate DERs to provide the required energy to the local grid and allowing for the participation in wholesale energy markets. This work considers both the technical constraints of the distribution system as well as the commercial consumer's comfort preferences. A stochastic mixed-integer linear programming (MILP) optimization model is developed to optimize the scheduling of various DERs owned by commercial consumers to maximize the profit of the TVPP. A case study on the IEEE 119-bus test system is carried out. Results from the case study show that the TVPP provides optimal DER scheduling, improved system reliability and increase in demand response engagement, while maintaining commercial consumer comfort levels. In addition, the profit of the TVPP increases by 49.23% relative to the baseline scenario.pt_PT
dc.identifier.citationGough., M., Santos, S. F., Matos, J. M. B. A., Home-Ortiz, J. M., Javadi, M. S., Castro, R., & Catalão, J. M. S. (2021). Optimal scheduling of commercial demand response by technical virtual power plants. In 4th International Conference on Smart Energy Systems and Technologies (SEST 2021), Vaasa, Finland, 6th-8th September 2021 (pp. 1-6). 10.1109/SEST50973.2021.9543463. Repositório Institucional UPT. http://hdl.handle.net/11328/4434pt_PT
dc.identifier.doi10.1109/SEST50973.2021.9543463pt_PT
dc.identifier.isbn978-1-7281-7660-4 (Electronic)
dc.identifier.urihttp://hdl.handle.net/11328/4434
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relationSupport by FEDER through COMPETE 2020 and 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.subjectConsumer comfortpt_PT
dc.subjectDay-ahead energy marketspt_PT
dc.subjectDemand responsept_PT
dc.subjectEnergy schedulingpt_PT
dc.subjectHeating ventilation and air conditioningpt_PT
dc.subjectVirtual power plantpt_PT
dc.titleOptimal scheduling of commercial demand response by technical virtual power plantspt_PT
dc.typeconferenceObjectpt_PT
degois.publication.firstPage1pt_PT
degois.publication.lastPage6pt_PT
degois.publication.locationVaasa, Finlandpt_PT
degois.publication.title4th International Conference on Smart Energy Systems and Technologies — SEST 2021pt_PT
dspace.entity.typePublicationen
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