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Cost Allocation Model for Distribution Networks Considering High Penetration of Distributed Energy Resources

dc.contributor.authorSoares, Tiago
dc.contributor.authorPereira, Fábio
dc.contributor.authorMorais, Hugo
dc.contributor.authorVale, Zita
dc.date.accessioned2015-05-06T10:41:37Z
dc.date.available2015-05-06T10:41:37Z
dc.date.issued2015-07
dc.description.abstractThe high penetration of distributed energy resources (DER) in distribution networks and the competitiveenvironment of electricity markets impose the use of new approaches in several domains. The networkcost allocation, traditionally used in transmission networks, should be adapted and used in the distribu-tion networks considering the specifications of the connected resources. The main goal is to develop afairer methodology trying to distribute the distribution network use costs to all players which are usingthe network in each period. In this paper, a model considering different type of costs (fixed, losses, andcongestion costs) is proposed comprising the use of a large set of DER, namely distributed generation(DG), demand response (DR) of direct load control type, energy storage systems (ESS), and electric vehi-cles with capability of discharging energy to the network, which is known as vehicle-to-grid (V2G). Theproposed model includes three distinct phases of operation. The first phase of the model consists in aneconomic dispatch based on an AC optimal power flow (AC-OPF); in the second phase Kirschen’s andBialek’s tracing algorithms are used and compared to evaluate the impact of each resource in the net-work. Finally, the MW-mile method is used in the third phase of the proposed model. A distributionnetwork of 33 buses with large penetration of DER is used to illustrate the application of the proposedmodel.por
dc.identifier.doi10.1016/j.epsr.2015.03.008
dc.identifier.urihttp://hdl.handle.net/10400.22/5940
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherElsevierpor
dc.relation.ispartofseriesElectric Power Systems Research;Vol. 124
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0378779615000681por
dc.subjectBialek’s tracing methodpor
dc.subjectDistributed energy resourcespor
dc.subjectKirschen’s tracing methodpor
dc.subjectMW-milepor
dc.titleCost Allocation Model for Distribution Networks Considering High Penetration of Distributed Energy Resourcespor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage132por
oaire.citation.startPage120por
oaire.citation.titleElectric Power Systems Researchpor
oaire.citation.volume124por
person.familyNameSoares
person.familyNameMorais
person.familyNameVale
person.givenNameTiago
person.givenNameHugo
person.givenNameZita
person.identifierL-3559-2017
person.identifier80878
person.identifier632184
person.identifier.ciencia-id7B13-071E-8642
person.identifier.ciencia-id2010-D878-271B
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0003-4708-4574
person.identifier.orcid0000-0001-5906-4744
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id48762149800
person.identifier.scopus-author-id21834170800
person.identifier.scopus-author-id7004115775
rcaap.rightsopenAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublicationba32a782-195f-40d1-ad5c-9c926b11e97e
relation.isAuthorOfPublicationb159f8c9-5ee1-444e-b890-81242ee0738e
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscoveryb159f8c9-5ee1-444e-b890-81242ee0738e

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