Two-stage algorithm for the management of distributed energy resources included in an aggregator's activities
| Main Authors: | João Spínola, Amin Gazafroudi, Pedro Faria, Zita Vale |
|---|---|
| Format: | Proceeding |
| Bahasa: | eng |
| Terbitan: |
, 2018
|
| Subjects: | |
| Online Access: |
https://zenodo.org/record/2677526 |
| ctrlnum |
2677526 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>João Spínola</creator><creator>Amin Gazafroudi</creator><creator>Pedro Faria</creator><creator>Zita Vale</creator><date>2018-01-31</date><description>The growing number of distributed energy resources in power systems, leads to the appearance of new entities
and roles for the existing ones that affect the operation of the network. One of these entities with more relevance,
is the aggregator, either independent or represented by public organizations. An aggregator manages small-size
distributed energy resources, creating a virtual amount of energy flexibility that can be used by it, to enable
participation in energy markets and capitalize the integration of distributed energy resources. This paper
proposes a two-stage optimization methodology for the operation of an aggregator regarding distributed energy
resources. In a first stage, the network part managed by the aggregator is scheduled, meaning at a macro
perspective, while in the second stage, it is assumed that the distributed energy resources are also scheduled
considering their operation. It is assumed that this second stage is enabled due to an aggregator’s communication
infrastructure and interconnected management systems.</description><description>This work has received funding from the European Union's Horizon 2020 research
and innovation program under the Marie Sklodowska-Curie grant agreement No 641794 (project DREAMGO)
and from FEDER Funds through COMPETE program and from National Funds through FCT, under
the project UID/EEA/00760/2013.</description><identifier>https://zenodo.org/record/2677526</identifier><identifier>10.5281/zenodo.2677526</identifier><identifier>oai:zenodo.org:2677526</identifier><language>eng</language><relation>info:eu-repo/grantAgreement/FCT/5876/147448/</relation><relation>info:eu-repo/grantAgreement/EC/H2020/641794/</relation><relation>doi:10.5281/zenodo.2677525</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode</rights><subject>aggregator</subject><subject>demand response</subject><subject>distributed generation</subject><subject>optimization</subject><title>Two-stage algorithm for the management of distributed energy resources included in an aggregator's activities</title><type>Journal:Proceeding</type><type>Journal:Proceeding</type><recordID>2677526</recordID></dc>
|
| language |
eng |
| format |
Journal:Proceeding Journal |
| author |
João Spínola Amin Gazafroudi Pedro Faria Zita Vale |
| title |
Two-stage algorithm for the management of distributed energy resources included in an aggregator's activities |
| publishDate |
2018 |
| topic |
aggregator demand response distributed generation optimization |
| url |
https://zenodo.org/record/2677526 |
| contents |
The growing number of distributed energy resources in power systems, leads to the appearance of new entities
and roles for the existing ones that affect the operation of the network. One of these entities with more relevance,
is the aggregator, either independent or represented by public organizations. An aggregator manages small-size
distributed energy resources, creating a virtual amount of energy flexibility that can be used by it, to enable
participation in energy markets and capitalize the integration of distributed energy resources. This paper
proposes a two-stage optimization methodology for the operation of an aggregator regarding distributed energy
resources. In a first stage, the network part managed by the aggregator is scheduled, meaning at a macro
perspective, while in the second stage, it is assumed that the distributed energy resources are also scheduled
considering their operation. It is assumed that this second stage is enabled due to an aggregator’s communication
infrastructure and interconnected management systems. This work has received funding from the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 641794 (project DREAMGO) and from FEDER Funds through COMPETE program and from National Funds through FCT, under the project UID/EEA/00760/2013. |
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