Publication
Demand response and dispatchable generation as ancillary services to support the low voltage distribution network operation
| dc.contributor.author | Canizes, Bruno | |
| dc.contributor.author | Silveira, Vitor | |
| dc.contributor.author | Vale, Zita | |
| dc.date.accessioned | 2022-12-21T11:27:45Z | |
| dc.date.available | 2022-12-21T11:27:45Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | The current power systems, namely the low voltage distribution networks, have been suffering considerable changes in recent years. What appeared to be innovation trends nowadays due to technological advances and manufacturing cost reduction has become the new reality in the coming years. Thus, the growing trend of power generation by renewable sources has posed new challenges and new opportunities. Furthermore, the wide installation of “smart meters” and the interest in placing the citizens as core players into the future energy markets and systems operation improves the role of the distribution system operator. In this way, developing new and innovative methodologies to explore the potential mechanisms for providing ancillary services in distribution networks becomes of great importance, namely in low voltage levels. This research paper proposes an innovative methodology to enhance the demand response participation of small consumers and dispatchable distributed renewable energy sources flexibility as ancillary services to mitigate the voltage and congestion issues in low voltage distribution networks. A realistic low voltage distribution network with 236 buses is used to illustrate the application of the proposed model. The results demonstrate a considerable voltage profile and congestion improvements. | pt_PT |
| dc.description.sponsorship | This work has received funding from the European Union’s Horizon 2020 research and innovation programme under project DOMINOES (grant agreement No 771066). The work has been done also in the scope of projects UIDB/00760/2020, and MAS-Society (PTDC/EEI-EEE/28954/2017), financed by FEDER Funds through COMPETE program and from National Funds through FCT. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.doi | 10.1016/j.egyr.2022.01.040 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.22/21223 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Elsevier | pt_PT |
| dc.relation | Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development | |
| dc.relation | Multi-Agent Systems SemantiC Interoperability for simulation and dEcision supporT in complex energY systems | |
| dc.relation | Smart Distribution Grid: a Market Driven Approach for the Next Generation of Advanced Operation Models and Services | |
| dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S2352484722000403 | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | pt_PT |
| dc.subject | Ancillary services | pt_PT |
| dc.subject | Congestion management | pt_PT |
| dc.subject | Demand response | pt_PT |
| dc.subject | Dispatchable generation flexibility | pt_PT |
| dc.subject | Distribution network | pt_PT |
| dc.subject | Voltage profile | pt_PT |
| dc.title | Demand response and dispatchable generation as ancillary services to support the low voltage distribution network operation | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development | |
| oaire.awardTitle | Multi-Agent Systems SemantiC Interoperability for simulation and dEcision supporT in complex energY systems | |
| oaire.awardTitle | Smart Distribution Grid: a Market Driven Approach for the Next Generation of Advanced Operation Models and Services | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00760%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FEEI-EEE%2F28954%2F2017/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/EC/H2020/771066/EU | |
| oaire.citation.endPage | 15 | pt_PT |
| oaire.citation.startPage | 7 | pt_PT |
| oaire.citation.title | Energy Reports | pt_PT |
| oaire.citation.volume | 8 | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 9471 - RIDTI | |
| oaire.fundingStream | H2020 | |
| person.familyName | Canizes | |
| person.familyName | Vale | |
| person.givenName | Bruno | |
| person.givenName | Zita | |
| person.identifier | 632184 | |
| person.identifier.ciencia-id | A411-F561-E922 | |
| person.identifier.ciencia-id | 721B-B0EB-7141 | |
| person.identifier.orcid | 0000-0002-9808-5537 | |
| person.identifier.orcid | 0000-0002-4560-9544 | |
| person.identifier.rid | I-3492-2017 | |
| person.identifier.rid | A-5824-2012 | |
| person.identifier.scopus-author-id | 35408699300 | |
| person.identifier.scopus-author-id | 7004115775 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100008530 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | European Commission | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
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