Architecture of an Edge Processing System for Aggregated Generation of PhotoVoltaic Plants with Expanded PMUs.
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| Title: | Architecture of an Edge Processing System for Aggregated Generation of PhotoVoltaic Plants with Expanded PMUs. |
|---|---|
| Authors: | Pallares-Lopez, Victor1 (AUTHOR), Gonzalez-de-la-Rosa, Juan Jose2 (AUTHOR), Aguera-Perez, Agustin1,2 (AUTHOR), Real-Calvo, Rafael1,2 (AUTHOR), Gonzalez-Redondo, Miguel1 (AUTHOR), Santiago-Chiquero, Isabel1 (AUTHOR), Espinosa-Gavira, Manuel Jesus2 (AUTHOR), Florencias-Oliveros, Olivia2 (AUTHOR), Sierra-Fernandez, Jose Maria2 (AUTHOR), Palomares-Salas, Jose Carlos2 (AUTHOR), Arenas-Ramos, Victoria1 (AUTHOR) |
| Source: | Energies (19961073). Jun2026, Vol. 19 Issue 12, p2827. 21p. |
| Subject Terms: | *Edge computing, *Photovoltaic power systems, *Computer network protocols, *Renewable energy source management, *Real-time computing, *Phasor measurement, *Electric power distribution grids |
| Abstract: | Currently, there is a trend in the energy sector towards the application of edge computing techniques to facilitate active monitoring of distribution networks. The adoption of this technique is crucial for applications involving distributed monitoring systems that require real-time data processing with low latency. An edge computing environment ensures an adequate response to two time-level response requirements. One for events that could trigger a serious problem in the distribution network, and a less demanding one for the management of energy. This article justifies and analyzes an architecture specifically designed to provide an adequate response to the two levels of time demand that set the procedure followed for the monitoring, storage and local diagnosis of several photovoltaic plants located on the same distribution network, with the aim of studying their joint production. One of the main contributions is related to the expansion of the capabilities of Phasor Measurement Units (PMUs) to monitor solar radiation or energy production perimeters by sector. The second major contribution is to guarantee the quality of the measurements and low latency in communications, using as a reference the IEEE C37.118-2011 synchrophasor standard in cooperation with the Time Sensitive Networking (TSN) synchronization protocol that guarantees simultaneity in distributed measurements. In short, a procedure is sought that allows a real-time response with the use of computing techniques very close to the origin of the measurements, guaranteeing exhaustive control from the moment the capture begins until the parameters are stored in a time series database. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 194909276 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Architecture of an Edge Processing System for Aggregated Generation of PhotoVoltaic Plants with Expanded PMUs. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Pallares-Lopez%2C+Victor%22">Pallares-Lopez, Victor</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gonzalez-de-la-Rosa%2C+Juan+Jose%22">Gonzalez-de-la-Rosa, Juan Jose</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Aguera-Perez%2C+Agustin%22">Aguera-Perez, Agustin</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Real-Calvo%2C+Rafael%22">Real-Calvo, Rafael</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gonzalez-Redondo%2C+Miguel%22">Gonzalez-Redondo, Miguel</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Santiago-Chiquero%2C+Isabel%22">Santiago-Chiquero, Isabel</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Espinosa-Gavira%2C+Manuel+Jesus%22">Espinosa-Gavira, Manuel Jesus</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Florencias-Oliveros%2C+Olivia%22">Florencias-Oliveros, Olivia</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sierra-Fernandez%2C+Jose+Maria%22">Sierra-Fernandez, Jose Maria</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Palomares-Salas%2C+Jose+Carlos%22">Palomares-Salas, Jose Carlos</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Arenas-Ramos%2C+Victoria%22">Arenas-Ramos, Victoria</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jun2026, Vol. 19 Issue 12, p2827. 21p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Edge+computing%22">Edge computing</searchLink><br />*<searchLink fieldCode="DE" term="%22Photovoltaic+power+systems%22">Photovoltaic power systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Computer+network+protocols%22">Computer network protocols</searchLink><br />*<searchLink fieldCode="DE" term="%22Renewable+energy+source+management%22">Renewable energy source management</searchLink><br />*<searchLink fieldCode="DE" term="%22Real-time+computing%22">Real-time computing</searchLink><br />*<searchLink fieldCode="DE" term="%22Phasor+measurement%22">Phasor measurement</searchLink><br />*<searchLink fieldCode="DE" term="%22Electric+power+distribution+grids%22">Electric power distribution grids</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Currently, there is a trend in the energy sector towards the application of edge computing techniques to facilitate active monitoring of distribution networks. The adoption of this technique is crucial for applications involving distributed monitoring systems that require real-time data processing with low latency. An edge computing environment ensures an adequate response to two time-level response requirements. One for events that could trigger a serious problem in the distribution network, and a less demanding one for the management of energy. This article justifies and analyzes an architecture specifically designed to provide an adequate response to the two levels of time demand that set the procedure followed for the monitoring, storage and local diagnosis of several photovoltaic plants located on the same distribution network, with the aim of studying their joint production. One of the main contributions is related to the expansion of the capabilities of Phasor Measurement Units (PMUs) to monitor solar radiation or energy production perimeters by sector. The second major contribution is to guarantee the quality of the measurements and low latency in communications, using as a reference the IEEE C37.118-2011 synchrophasor standard in cooperation with the Time Sensitive Networking (TSN) synchronization protocol that guarantees simultaneity in distributed measurements. In short, a procedure is sought that allows a real-time response with the use of computing techniques very close to the origin of the measurements, guaranteeing exhaustive control from the moment the capture begins until the parameters are stored in a time series database. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=194909276 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en19122827 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 2827 Subjects: – SubjectFull: Edge computing Type: general – SubjectFull: Photovoltaic power systems Type: general – SubjectFull: Computer network protocols Type: general – SubjectFull: Renewable energy source management Type: general – SubjectFull: Real-time computing Type: general – SubjectFull: Phasor measurement Type: general – SubjectFull: Electric power distribution grids Type: general Titles: – TitleFull: Architecture of an Edge Processing System for Aggregated Generation of PhotoVoltaic Plants with Expanded PMUs. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pallares-Lopez, Victor – PersonEntity: Name: NameFull: Gonzalez-de-la-Rosa, Juan Jose – PersonEntity: Name: NameFull: Aguera-Perez, Agustin – PersonEntity: Name: NameFull: Real-Calvo, Rafael – PersonEntity: Name: NameFull: Gonzalez-Redondo, Miguel – PersonEntity: Name: NameFull: Santiago-Chiquero, Isabel – PersonEntity: Name: NameFull: Espinosa-Gavira, Manuel Jesus – PersonEntity: Name: NameFull: Florencias-Oliveros, Olivia – PersonEntity: Name: NameFull: Sierra-Fernandez, Jose Maria – PersonEntity: Name: NameFull: Palomares-Salas, Jose Carlos – PersonEntity: Name: NameFull: Arenas-Ramos, Victoria IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 19 – Type: issue Value: 12 Titles: – TitleFull: Energies (19961073) Type: main |
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