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dc.contributor.authorAlmenning, Ola Mathias
dc.contributor.authorBjarghov, Sigurd
dc.contributor.authorFarahmand, Hossein
dc.date.accessioned2020-08-24T08:20:36Z
dc.date.available2020-08-24T08:20:36Z
dc.date.created2020-01-27T23:29:07Z
dc.date.issued2019
dc.identifier.isbn978-1-7281-1156-8
dc.identifier.urihttps://hdl.handle.net/11250/2673505
dc.description.abstractIncreased power demand is a growing problem for distribution system operators (DSO) capable of causing unwanted and expensive grid upgrades. Descending prices for flexible resources and power generation such as house batteries, electric vehicles (EV) and photovoltaic (PV) cells allow for consumers to have a more active role in the energy system and possibly help avoid these expensive upgrades. We developed a mixed integer linear programming (MILP) optimization model performed on a small neighborhood consisting of 30 consumers with different amounts of flexible resources to test grid tariffs impact on power peak reduction. We simulate four different case studies, and the results show an 11% decrease in peak power import during scarcity hours and a more stable import when implicit peer-to-peer (P2P) energy trading is enabled under a subscription based tariff structure. The main conclusion from this study is that there is a clear potential in local electricity markets and capacity based grid tariff structures, especially when metered at neighborhood level.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartof2019 International Conference on Smart Energy Systems and Technologies - SEST
dc.titleReducing Neighborhood Peak Loads with implicit Peer-to-Peer energy trading under Subscribed Capacity tariffsen_US
dc.typeChapteren_US
dc.description.versionsubmittedVersionen_US
dc.identifier.doi10.1109/SEST.2019.8849067
dc.identifier.cristin1783637
dc.description.localcode© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
cristin.unitcode194,63,20,0
cristin.unitnameInstitutt for elkraftteknikk
cristin.ispublishedtrue
cristin.qualitycode1


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