Modeling Local Energy Markets Transactions for Multi-Energy Systems in Low-Voltage Unbalanced Distribution Networks

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dc.contributor.authorGarcia-Munoz, Fernando
dc.contributor.authorBorray, Andres Felipe Cortes
dc.contributor.authorGonzalez-Garrido, Amaia
dc.contributor.institutionPOWER SYSTEMS
dc.date.accessioned2024-07-24T11:47:40Z
dc.date.available2024-07-24T11:47:40Z
dc.date.issued2023
dc.descriptionPublisher Copyright: © 2023 IEEE.
dc.description.abstractLocal energy markets (LEMs) for multi-energy systems have emerged as promising solutions to facilitate energy sharing within local communities, potentially reducing energy costs, promoting renewable energy generation, and increasing energy efficiency. In this regard, analyzing the energy traded among users in local communities is crucial, as well as the characteristics of the electrical network where they are connected. In the residential sector, the low-voltage (LV) distribution network plays a vital role due to its unbalanced nature, where loads and distributed energy resources are unevenly distributed per phase, leading to conditions such as single-phase generators serving users with three-phase connections. Thus, to accurately model user transactions and capture the interaction between buyers and sellers on the LV network, this article proposes a deterministic mixed-integer second-order cone programming model for LEMs in an unbalanced active distribution network, considering both electricity and gas as energy vectors. The unbalanced model is compared with the balanced single-phase formulation using a modified version of a real LV feeder, showing that balanced models could overestimate the energy traded in LEM and have a more stable voltage pattern, which could underestimate the real voltage limits and affect the network safety.en
dc.description.sponsorshipThis work is associated with the INTEGRATE project PID2021-128574OB-I00, financed by MCIN /AEI
dc.description.statusPeer reviewed
dc.identifier.citationGarcia-Munoz , F , Borray , A F C & Gonzalez-Garrido , A 2023 , Modeling Local Energy Markets Transactions for Multi-Energy Systems in Low-Voltage Unbalanced Distribution Networks . in Proceedings of 2023 IEEE International Smart Cities Conference, ISC2 2023 . Proceedings of 2023 IEEE International Smart Cities Conference, ISC2 2023 , Institute of Electrical and Electronics Engineers Inc. , 9th IEEE International Smart Cities Conference, ISC2 2023 , Bucharest , Romania , 24/09/23 . https://doi.org/10.1109/ISC257844.2023.10293331
dc.identifier.citationconference
dc.identifier.doi10.1109/ISC257844.2023.10293331
dc.identifier.isbn9798350397758
dc.identifier.urihttps://hdl.handle.net/11556/1688
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85178335237&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofProceedings of 2023 IEEE International Smart Cities Conference, ISC2 2023
dc.relation.ispartofseriesProceedings of 2023 IEEE International Smart Cities Conference, ISC2 2023
dc.relation.projectIDMinisterio de Ciencia e Innovación, MICINN
dc.relation.projectIDAgencia Estatal de Investigación, AEI
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordselectric vehicles
dc.subject.keywordsheat pumps
dc.subject.keywordslocal energy market
dc.subject.keywordsmulti-energy systems
dc.subject.keywordsoptimal power flow
dc.subject.keywordsComputer Science Applications
dc.subject.keywordsArtificial Intelligence
dc.subject.keywordsComputer Vision and Pattern Recognition
dc.subject.keywordsEnergy Engineering and Power Technology
dc.subject.keywordsRenewable Energy, Sustainability and the Environment
dc.subject.keywordsCommunication
dc.subject.keywordsUrban Studies
dc.subject.keywordsSDG 7 - Affordable and Clean Energy
dc.titleModeling Local Energy Markets Transactions for Multi-Energy Systems in Low-Voltage Unbalanced Distribution Networksen
dc.typeconference output
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