Finite‐time consensus for frequency and voltage restoration in microgird under communication interruptions.
Saved in:
| Title: | Finite‐time consensus for frequency and voltage restoration in microgird under communication interruptions. |
|---|---|
| Authors: | Li, Fenglei1 (AUTHOR), Dou, Chunxia2 (AUTHOR) cxdou@ysu.edu.cn, Hu, Xiaolong1 (AUTHOR), Zhang, Zhanqiang2 (AUTHOR), Zhang, Tengfei3 (AUTHOR) |
| Source: | International Transactions on Electrical Energy Systems. Apr2021, Vol. 31 Issue 4, p1-20. 20p. |
| Subject Terms: | *Problem solving, *Voltage, *Machine learning, *Reliability in engineering |
| Abstract: | Summary: This paper presents a distributed secondary control strategy based on finite‐time consensus protocol for islanded microgrids to ensure the stability of frequency and voltage. Simple droop control cannot achieve high‐precision adjustment due to its inherent shortcomings. Although traditional secondary control can solve this problem, the required conditions are harsh and the system has poor robustness. Based on finite‐time consensus protocol, the proposed distributed secondary control is completely distributed, and agents of network layer only communicate through peer‐to‐peer sparse networks without a central node, so the frequency and voltage remain stable and reach the nominal value within the set time that then improves the system reliability and robustness. Moreover, the improved extreme learning machine, where the empirical risk and structural risk are involved, is used to predict the missing part to deal with the problem of packet loss and communication interruptions. The effectiveness of the intended methods is verified by the simulation of an islanded microgrid. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: enr DbLabel: Energy & Power Source An: 149618498 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Finite‐time consensus for frequency and voltage restoration in microgird under communication interruptions. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Li%2C+Fenglei%22">Li, Fenglei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dou%2C+Chunxia%22">Dou, Chunxia</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> cxdou@ysu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Hu%2C+Xiaolong%22">Hu, Xiaolong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Zhanqiang%22">Zhang, Zhanqiang</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Tengfei%22">Zhang, Tengfei</searchLink><relatesTo>3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Transactions+on+Electrical+Energy+Systems%22">International Transactions on Electrical Energy Systems</searchLink>. Apr2021, Vol. 31 Issue 4, p1-20. 20p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Problem+solving%22">Problem solving</searchLink><br />*<searchLink fieldCode="DE" term="%22Voltage%22">Voltage</searchLink><br />*<searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Reliability+in+engineering%22">Reliability in engineering</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Summary: This paper presents a distributed secondary control strategy based on finite‐time consensus protocol for islanded microgrids to ensure the stability of frequency and voltage. Simple droop control cannot achieve high‐precision adjustment due to its inherent shortcomings. Although traditional secondary control can solve this problem, the required conditions are harsh and the system has poor robustness. Based on finite‐time consensus protocol, the proposed distributed secondary control is completely distributed, and agents of network layer only communicate through peer‐to‐peer sparse networks without a central node, so the frequency and voltage remain stable and reach the nominal value within the set time that then improves the system reliability and robustness. Moreover, the improved extreme learning machine, where the empirical risk and structural risk are involved, is used to predict the missing part to deal with the problem of packet loss and communication interruptions. The effectiveness of the intended methods is verified by the simulation of an islanded microgrid. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=149618498 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/2050-7038.12830 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 1 Subjects: – SubjectFull: Problem solving Type: general – SubjectFull: Voltage Type: general – SubjectFull: Machine learning Type: general – SubjectFull: Reliability in engineering Type: general Titles: – TitleFull: Finite‐time consensus for frequency and voltage restoration in microgird under communication interruptions. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Fenglei – PersonEntity: Name: NameFull: Dou, Chunxia – PersonEntity: Name: NameFull: Hu, Xiaolong – PersonEntity: Name: NameFull: Zhang, Zhanqiang – PersonEntity: Name: NameFull: Zhang, Tengfei IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 20507038 Numbering: – Type: volume Value: 31 – Type: issue Value: 4 Titles: – TitleFull: International Transactions on Electrical Energy Systems Type: main |
| ResultId | 1 |
