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Conference Paper: Remuneration Assessment of a VPP Providing Distribution Capacity Services

TitleRemuneration Assessment of a VPP Providing Distribution Capacity Services
Authors
KeywordsCapacity planning
distributed power generation
power distribution
smart grid
Issue Date2017
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000589
Citation
12th IEEE PES PowerTech Conference (PowerTech 2017), Manchester, UK, 18-22 June 2017 How to Cite?
AbstractA Distribution System Operator (DSO) might consider a capacity contract as a planning alternative to defer grid investments. A Virtual Power Plant (VPP) might be able to provide such capacity and change its production as requested by the DSO. This article presents an assessment of the impact of this type of distribution capacity contract (DCC) on VPP's remuneration. This assessment is done by comparing the optimal production / bidding strategy which maximize its profit, under presence or absence of these contracts. The impact of intermittent generation and storage while evaluating these scenarios will be investigated as well. A stochastic unit commitment will be used to determine the VPP's strategy under uncertainties from wind power, load, market prices, and the requested power by the DSO. The model showed that the VPP involvement in distribution capacity contracts can improve its remuneration when certain types of Distributed Energy Resources (DER) are used to provide the service.
Persistent Identifierhttp://hdl.handle.net/10722/245535

 

DC FieldValueLanguage
dc.contributor.authorAlvarez, M-
dc.contributor.authorRonnberg, SK-
dc.contributor.authorCossent, R-
dc.contributor.authorZhong, J-
dc.contributor.authorBollen, MHJ-
dc.date.accessioned2017-09-18T02:12:25Z-
dc.date.available2017-09-18T02:12:25Z-
dc.date.issued2017-
dc.identifier.citation12th IEEE PES PowerTech Conference (PowerTech 2017), Manchester, UK, 18-22 June 2017-
dc.identifier.urihttp://hdl.handle.net/10722/245535-
dc.description.abstractA Distribution System Operator (DSO) might consider a capacity contract as a planning alternative to defer grid investments. A Virtual Power Plant (VPP) might be able to provide such capacity and change its production as requested by the DSO. This article presents an assessment of the impact of this type of distribution capacity contract (DCC) on VPP's remuneration. This assessment is done by comparing the optimal production / bidding strategy which maximize its profit, under presence or absence of these contracts. The impact of intermittent generation and storage while evaluating these scenarios will be investigated as well. A stochastic unit commitment will be used to determine the VPP's strategy under uncertainties from wind power, load, market prices, and the requested power by the DSO. The model showed that the VPP involvement in distribution capacity contracts can improve its remuneration when certain types of Distributed Energy Resources (DER) are used to provide the service.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000589-
dc.relation.ispartofPowerTech Conference-
dc.rightsPowerTech Conference. Copyright © IEEE.-
dc.rights©2017 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.-
dc.subjectCapacity planning-
dc.subjectdistributed power generation-
dc.subjectpower distribution-
dc.subjectsmart grid-
dc.titleRemuneration Assessment of a VPP Providing Distribution Capacity Services-
dc.typeConference_Paper-
dc.identifier.emailZhong, J: jinzhong@hkucc.hku.hk-
dc.identifier.authorityZhong, J=rp00212-
dc.identifier.doi10.1109/PTC.2017.7980881-
dc.identifier.scopuseid_2-s2.0-85034752863-
dc.identifier.hkuros277542-
dc.publisher.placeUnited States-

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