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Article: Short-term reactive power reserve optimization based on trajectory sensitivity

TitleShort-term reactive power reserve optimization based on trajectory sensitivity
Authors
KeywordsContingency
Reactive power reserve
Short-term voltage stability
Optimization
Issue Date2017
Citation
Journal of Electrical Engineering and Technology, 2017, v. 12, n. 2, p. 541-548 How to Cite?
Abstract© The Korean Institute of Electrical Engineers. An increasing concern is paid to short-term voltage stability with the growth of penetration of induction motor loads. Reactive power reserve(RPR) of power system is critical to improve voltage stability. A definition of short-term voltage stability-related RPR(SVRPR) is proposed. Generators vary their contributions to voltage stability with their location and system condition, etc. Voltage support coefficient based on the second-order trace sensitivity method is proposed to evaluate SVRPR’s contribution to short-term voltage stability. The evaluation method can account for the generator’s reactive support in transient process and the contingency severity. Then an optimization model to improve short-term voltage stability is built. To deal with multiple contingencies, contingency weight taking into account both its probability and severity is proposed. The optimization problem is solved by primal dual interior point method. Testing on IEEE_39 bus system, it is indicated that the method proposed is effective. Short-term voltage stability is improved significantly by the way of SV- RPR optimization. Hence, the approach can be used to prevent the happening of voltage collapse during system’s contingency.
Persistent Identifierhttp://hdl.handle.net/10722/283650
ISSN
2023 Impact Factor: 1.6
2023 SCImago Journal Rankings: 0.434
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorSun, Quancai-
dc.contributor.authorCheng, Haozhong-
dc.contributor.authorZhang, Jian-
dc.contributor.authorLi, Baiqing-
dc.contributor.authorSong, Yue-
dc.date.accessioned2020-07-03T08:07:53Z-
dc.date.available2020-07-03T08:07:53Z-
dc.date.issued2017-
dc.identifier.citationJournal of Electrical Engineering and Technology, 2017, v. 12, n. 2, p. 541-548-
dc.identifier.issn1975-0102-
dc.identifier.urihttp://hdl.handle.net/10722/283650-
dc.description.abstract© The Korean Institute of Electrical Engineers. An increasing concern is paid to short-term voltage stability with the growth of penetration of induction motor loads. Reactive power reserve(RPR) of power system is critical to improve voltage stability. A definition of short-term voltage stability-related RPR(SVRPR) is proposed. Generators vary their contributions to voltage stability with their location and system condition, etc. Voltage support coefficient based on the second-order trace sensitivity method is proposed to evaluate SVRPR’s contribution to short-term voltage stability. The evaluation method can account for the generator’s reactive support in transient process and the contingency severity. Then an optimization model to improve short-term voltage stability is built. To deal with multiple contingencies, contingency weight taking into account both its probability and severity is proposed. The optimization problem is solved by primal dual interior point method. Testing on IEEE_39 bus system, it is indicated that the method proposed is effective. Short-term voltage stability is improved significantly by the way of SV- RPR optimization. Hence, the approach can be used to prevent the happening of voltage collapse during system’s contingency.-
dc.languageeng-
dc.relation.ispartofJournal of Electrical Engineering and Technology-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectContingency-
dc.subjectReactive power reserve-
dc.subjectShort-term voltage stability-
dc.subjectOptimization-
dc.titleShort-term reactive power reserve optimization based on trajectory sensitivity-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.5370/JEET.2017.12.2.541-
dc.identifier.scopuseid_2-s2.0-85012134629-
dc.identifier.volume12-
dc.identifier.issue2-
dc.identifier.spage541-
dc.identifier.epage548-
dc.identifier.eissn2093-7423-
dc.identifier.isiWOS:000401717800006-
dc.identifier.issnl1975-0102-

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