PQ decoupled 3-phase numerical observability analysis and critical data identification for distribution systems.
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| Title: | PQ decoupled 3-phase numerical observability analysis and critical data identification for distribution systems. |
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| Authors: | Wang, Shouxiang1 sxwang@tju.edu.cn, Liang, Dong1, Ge, Leijiao1, Wu, Lei2 |
| Source: | International Transactions on Electrical Energy Systems. Jun2017, Vol. 27 Issue 6, pn/a-N.PAG. 12p. |
| Subject Terms: | *Jacobian matrices, *Distribution (Probability theory), *Integers |
| Abstract: | Emerging active distribution systems are operated under more complicated and uncertain conditions. Because of frequent topology changes or temporary malfunctions of data acquisition, the network may lose observability and in turn may lead to the failure of distribution system state estimation. Without distribution system state estimation, the distribution system operator may not be able to make secure decisions, and the system may face with risk of serious damages. In this paper, a new real/reactive (PQ) decoupled 3-phase numerical observability analysis method and a new critical data identification method for distribution systems are proposed. The methods can efficiently identify all unobservable branches and critical data in a non-iterative manner. In addition to the 3-phase decoupling, the normal equation is also PQ decoupled, and the computation burden is greatly reduced. Furthermore, all entries in the Jacobian matrix are non-negative integers and the proposed methods present good numerical performance. Strict theoretical proofs on the performance of the proposed methods are provided and numerical results on different scales of test systems illustrate their validities. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 123395670 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: PQ decoupled 3-phase numerical observability analysis and critical data identification for distribution systems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wang%2C+Shouxiang%22">Wang, Shouxiang</searchLink><relatesTo>1</relatesTo><i> sxwang@tju.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Liang%2C+Dong%22">Liang, Dong</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ge%2C+Leijiao%22">Ge, Leijiao</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Wu%2C+Lei%22">Wu, Lei</searchLink><relatesTo>2</relatesTo> – 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>. Jun2017, Vol. 27 Issue 6, pn/a-N.PAG. 12p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Jacobian+matrices%22">Jacobian matrices</searchLink><br />*<searchLink fieldCode="DE" term="%22Distribution+%28Probability+theory%29%22">Distribution (Probability theory)</searchLink><br />*<searchLink fieldCode="DE" term="%22Integers%22">Integers</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Emerging active distribution systems are operated under more complicated and uncertain conditions. Because of frequent topology changes or temporary malfunctions of data acquisition, the network may lose observability and in turn may lead to the failure of distribution system state estimation. Without distribution system state estimation, the distribution system operator may not be able to make secure decisions, and the system may face with risk of serious damages. In this paper, a new real/reactive (PQ) decoupled 3-phase numerical observability analysis method and a new critical data identification method for distribution systems are proposed. The methods can efficiently identify all unobservable branches and critical data in a non-iterative manner. In addition to the 3-phase decoupling, the normal equation is also PQ decoupled, and the computation burden is greatly reduced. Furthermore, all entries in the Jacobian matrix are non-negative integers and the proposed methods present good numerical performance. Strict theoretical proofs on the performance of the proposed methods are provided and numerical results on different scales of test systems illustrate their validities. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=123395670 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/etep.2317 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: n/a Subjects: – SubjectFull: Jacobian matrices Type: general – SubjectFull: Distribution (Probability theory) Type: general – SubjectFull: Integers Type: general Titles: – TitleFull: PQ decoupled 3-phase numerical observability analysis and critical data identification for distribution systems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Shouxiang – PersonEntity: Name: NameFull: Liang, Dong – PersonEntity: Name: NameFull: Ge, Leijiao – PersonEntity: Name: NameFull: Wu, Lei IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 20507038 Numbering: – Type: volume Value: 27 – Type: issue Value: 6 Titles: – TitleFull: International Transactions on Electrical Energy Systems Type: main |
| ResultId | 1 |
