Event-Driven Edge Agent Framework for Distributed Control in Distribution Networks.
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| Title: | Event-Driven Edge Agent Framework for Distributed Control in Distribution Networks. |
|---|---|
| Authors: | Zhang, Xianglong1 (AUTHOR) xianglong1983@126.com, Liu, Ying1 (AUTHOR), Gu, Songlin1 (AUTHOR), Tian, Yuzhou1 (AUTHOR), Gao, Yifan1 (AUTHOR) |
| Source: | Energies (19961073). Jun2025, Vol. 18 Issue 11, p2734. 23p. |
| Subjects: | Power distribution networks, Automatic differentiation, Hybrid systems, Configuration management, Web-based user interfaces |
| Abstract: | With the large-scale integration of heterogeneous energy resources and the increasing demand for flexible control, centralized control is facing challenges in terms of operational efficiency and system responsiveness when handling high-precision regulation tasks. To address this issue, this paper proposes an event-driven edge agent framework for distributed control in power distribution networks. First, based on the diverse requirements of distributed control in distribution networks, an edge agent architecture is constructed with modular components such as configuration management at its core. Second, considering the hybrid system characteristics of distribution networks, a control configuration technique based on activity-on-edge is designed, which decouples and discretizes continuous control processes through event-driven mechanisms. Furthermore, an edge-oriented automatic differentiation solver and a lightweight web application framework are developed to address the challenges of real-time optimization under resource-constrained environments. Finally, a semi-physical simulation is conducted using station-level economic dispatch as a case study to verify the effectiveness of the proposed technology. The results demonstrate that, compared to centralized control, the designed distributed agent maintains optimization accuracy while reducing event-triggering frequency by 40% and improving communication response speed by 70%, showing strong performance in operational efficiency at the edge. [ABSTRACT FROM AUTHOR] |
| Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 185867907 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Event-Driven Edge Agent Framework for Distributed Control in Distribution Networks. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Xianglong%22">Zhang, Xianglong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> xianglong1983@126.com</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Ying%22">Liu, Ying</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gu%2C+Songlin%22">Gu, Songlin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tian%2C+Yuzhou%22">Tian, Yuzhou</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gao%2C+Yifan%22">Gao, Yifan</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jun2025, Vol. 18 Issue 11, p2734. 23p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Power+distribution+networks%22">Power distribution networks</searchLink><br /><searchLink fieldCode="DE" term="%22Automatic+differentiation%22">Automatic differentiation</searchLink><br /><searchLink fieldCode="DE" term="%22Hybrid+systems%22">Hybrid systems</searchLink><br /><searchLink fieldCode="DE" term="%22Configuration+management%22">Configuration management</searchLink><br /><searchLink fieldCode="DE" term="%22Web-based+user+interfaces%22">Web-based user interfaces</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: With the large-scale integration of heterogeneous energy resources and the increasing demand for flexible control, centralized control is facing challenges in terms of operational efficiency and system responsiveness when handling high-precision regulation tasks. To address this issue, this paper proposes an event-driven edge agent framework for distributed control in power distribution networks. First, based on the diverse requirements of distributed control in distribution networks, an edge agent architecture is constructed with modular components such as configuration management at its core. Second, considering the hybrid system characteristics of distribution networks, a control configuration technique based on activity-on-edge is designed, which decouples and discretizes continuous control processes through event-driven mechanisms. Furthermore, an edge-oriented automatic differentiation solver and a lightweight web application framework are developed to address the challenges of real-time optimization under resource-constrained environments. Finally, a semi-physical simulation is conducted using station-level economic dispatch as a case study to verify the effectiveness of the proposed technology. The results demonstrate that, compared to centralized control, the designed distributed agent maintains optimization accuracy while reducing event-triggering frequency by 40% and improving communication response speed by 70%, showing strong performance in operational efficiency at the edge. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=185867907 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en18112734 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 2734 Subjects: – SubjectFull: Power distribution networks Type: general – SubjectFull: Automatic differentiation Type: general – SubjectFull: Hybrid systems Type: general – SubjectFull: Configuration management Type: general – SubjectFull: Web-based user interfaces Type: general Titles: – TitleFull: Event-Driven Edge Agent Framework for Distributed Control in Distribution Networks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Xianglong – PersonEntity: Name: NameFull: Liu, Ying – PersonEntity: Name: NameFull: Gu, Songlin – PersonEntity: Name: NameFull: Tian, Yuzhou – PersonEntity: Name: NameFull: Gao, Yifan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 18 – Type: issue Value: 11 Titles: – TitleFull: Energies (19961073) Type: main |
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