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Scheduling of Battery Energy Storage and Demand Response Resource in Balancing Ancillary Service

2020Conference object Open access
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dc.contributor.authorKhojasteh, Meysam
dc.contributor.authorFaria, Pedro
dc.contributor.authorVale, Zita
dc.date.accessioned2021-09-17T14:04:11Z
dc.date.available2021-09-17T14:04:11Z
dc.date.issued2020
dc.description.abstractNowadays, benefits and advantages of renewable energies are clear for everyone. Lower cost of these resources (in compare with non-renewable resources), global demanding for the clean energy, limitations of fossil fuel resources, and so on, increase the popularity of renewable energies in power systems. However, the main problem is that the wind and solar power as two cheapest and biggest resources of renewable energy are variable, un-dispatchable, uncontrollable. Every change in the forecasted values of these resources could disturb the balance of generation and consumption in the electricity power network, which can lead to the instability of grid. Therefore, the flexibility of network shall be increased to neutralize the fluctuations of renewable resource. The Battery Energy Storage (BES) as the trusted and reliable energy resource can play a crucial role to maintain the flexibility of grid by instantaneous response to supply and demand variations. However, some constraints of BES such as minimum charge and discharge times, capacity, rate of charge and discharge could limit the generation/consumption of this resource in the real-time balancing. This paper provides a model for scheduling of BES and shifting demand response (SDR) in balancing ancillary service to improve the flexibility of grid. SDR program is proposed as the backup resource to cover the limitations of BES and improve the flexibility of grid. The objective function of proposed model is minimizing the real-time energy supply cost. The proposed model is formulated based on mixed integer linear programming (MILP) methodology. Moreover, the performance and advantages of the proposed model are investigated via a case study.pt_PT
dc.description.sponsorshipThis work has received funding from the European Union's Horizon 2020 research and innovation programme under project DOMINOES (grant agreement No 771066), from FEDER Funds through COMPETE program and from National Funds through (FCT) under the project UID/EEA/00760/2019.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/ISGT-Europe47291.2020.9248798pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/18416
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relationSmart Distribution Grid: a Market Driven Approach for the Next Generation of Advanced Operation Models and Services
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9248798pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectAncillary servicept_PT
dc.subjectBalancing marketpt_PT
dc.subjectBattery energy storagept_PT
dc.subjectDemand responsept_PT
dc.titleScheduling of Battery Energy Storage and Demand Response Resource in Balancing Ancillary Servicept_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleSmart Distribution Grid: a Market Driven Approach for the Next Generation of Advanced Operation Models and Services
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/771066/EU
oaire.citation.conferencePlaceThe Hague, Netherlandspt_PT
oaire.citation.endPage303pt_PT
oaire.citation.startPage299pt_PT
oaire.citation.title2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)pt_PT
oaire.fundingStreamH2020
person.familyNameFaria
person.familyNameVale
person.givenNamePedro
person.givenNameZita
person.identifier632184
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-5982-8342
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscoveryff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isProjectOfPublication166b0a9d-d964-4026-9532-601559959486
relation.isProjectOfPublication.latestForDiscovery166b0a9d-d964-4026-9532-601559959486

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