Diffusion Strategy-Based Distributed Operation of Microgrids Using Multiagent System.
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| Title: | Diffusion Strategy-Based Distributed Operation of Microgrids Using Multiagent System. |
|---|---|
| Authors: | Van-Hai Bui1 buivanhaibk@inu.ac.kr, Hussain, Akhtar1 hussainakhtar@inu.ac.kr, Kim, Hak-Man1,2 hmkim@inu.ac.kr |
| Source: | Energies (19961073). Jul2017, Vol. 10 Issue 7, p903. 21p. 8 Diagrams, 3 Charts, 10 Graphs. |
| Subjects: | Distributed operating systems (Computers), Computer operating systems, Microgrids, Electric power distribution, Smart power grids, Multiagent systems |
| Abstract: | In distributed operation, each unit is operated by its local controller instead of using a centralized controller, which allows the action to be based on local information rather than global information. Most of the distributed solutions have implemented the consensus method, however, convergence time of the consensus method is quite long, while diffusion strategy includes a stochastic gradient term and can reach convergence much faster compared with consensus method. Therefore, in this paper, a diffusion strategy-based distributed operation of microgrids (MGs) is proposed using multiagent system for both normal and emergency operation modes. In normal operation, the MG system is operated by a central controller instead of the distributed controller to minimize the operation cost. If any event (fault) occurs in the system, MG system can be divided into two parts to isolate the faulty region. In this case, the MG system is changed to emergency operation mode. The normal part is rescheduled by the central controller while the isolated part schedules its resources in a distributed manner. The isolated part carries out distributed communication using diffusion between neighboring agents for optimal operation of this part. The proposed method enables peer-to-peer communication among the agents without the necessity of a centralized controller, and simultaneously performs resource optimization. Simulation results show that the system can be operated in an economic way in both normal operation and emergency operation modes. [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 |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 124098941 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Diffusion Strategy-Based Distributed Operation of Microgrids Using Multiagent System. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Van-Hai+Bui%22">Van-Hai Bui</searchLink><relatesTo>1</relatesTo><i> buivanhaibk@inu.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Hussain%2C+Akhtar%22">Hussain, Akhtar</searchLink><relatesTo>1</relatesTo><i> hussainakhtar@inu.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Kim%2C+Hak-Man%22">Kim, Hak-Man</searchLink><relatesTo>1,2</relatesTo><i> hmkim@inu.ac.kr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jul2017, Vol. 10 Issue 7, p903. 21p. 8 Diagrams, 3 Charts, 10 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Distributed+operating+systems+%28Computers%29%22">Distributed operating systems (Computers)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+operating+systems%22">Computer operating systems</searchLink><br /><searchLink fieldCode="DE" term="%22Microgrids%22">Microgrids</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+distribution%22">Electric power distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Smart+power+grids%22">Smart power grids</searchLink><br /><searchLink fieldCode="DE" term="%22Multiagent+systems%22">Multiagent systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In distributed operation, each unit is operated by its local controller instead of using a centralized controller, which allows the action to be based on local information rather than global information. Most of the distributed solutions have implemented the consensus method, however, convergence time of the consensus method is quite long, while diffusion strategy includes a stochastic gradient term and can reach convergence much faster compared with consensus method. Therefore, in this paper, a diffusion strategy-based distributed operation of microgrids (MGs) is proposed using multiagent system for both normal and emergency operation modes. In normal operation, the MG system is operated by a central controller instead of the distributed controller to minimize the operation cost. If any event (fault) occurs in the system, MG system can be divided into two parts to isolate the faulty region. In this case, the MG system is changed to emergency operation mode. The normal part is rescheduled by the central controller while the isolated part schedules its resources in a distributed manner. The isolated part carries out distributed communication using diffusion between neighboring agents for optimal operation of this part. The proposed method enables peer-to-peer communication among the agents without the necessity of a centralized controller, and simultaneously performs resource optimization. Simulation results show that the system can be operated in an economic way in both normal operation and emergency operation modes. [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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en10070903 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 903 Subjects: – SubjectFull: Distributed operating systems (Computers) Type: general – SubjectFull: Computer operating systems Type: general – SubjectFull: Microgrids Type: general – SubjectFull: Electric power distribution Type: general – SubjectFull: Smart power grids Type: general – SubjectFull: Multiagent systems Type: general Titles: – TitleFull: Diffusion Strategy-Based Distributed Operation of Microgrids Using Multiagent System. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Van-Hai Bui – PersonEntity: Name: NameFull: Hussain, Akhtar – PersonEntity: Name: NameFull: Kim, Hak-Man IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 10 – Type: issue Value: 7 Titles: – TitleFull: Energies (19961073) Type: main |
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