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Article: Optimal Electric Spring Allocation for Risk-Limiting Voltage Regulation in Distribution Systems

TitleOptimal Electric Spring Allocation for Risk-Limiting Voltage Regulation in Distribution Systems
Authors
Zheng, YuHill, David J.Song, YueZhao, JunhuaHui, Shu Yuen Ron
Keywordsvoltage violation risk
distribution system
electric spring
Optimal allocation
Issue Date2020
Citation
IEEE Transactions on Power Systems, 2020, v. 35, n. 1, p. 273-283 How to Cite?
DOI: http://dx.doi.org/10.1109/TPWRS.2019.2933240
Abstract© 1969-2012 IEEE. This paper addresses the optimal allocation of the electric spring (ES) smart load device in radial distribution systems for voltage regulation. An ES can transform a connected noncritical load into a smart load providing voltage support and voltage suppression functions. A risk-limiting ES planning method is proposed to obtain the optimal ES configuration (number, locations, capacities, and types) to mitigate the voltage violations caused by uncertainties in renewable distributed generation. The forecasting uncertainties are placed into multi-state discrete levels to reduce scenario numbers. The voltage regulation capability of different types of ES are quantified and compared to determine the optimal allocation model. The optimal ES installation plan is identified as per the minimal total cost and lowest voltage violation risk. The proposed optimal allocation method is validated on a modified IEEE 15-bus distribution network.
Persistent Identifierhttp://hdl.handle.net/10722/283663
ISSN
0885-8950
2023 Impact Factor: 6.5
2023 SCImago Journal Rankings: 3.827
ISI Accession Number ID
WOS:000509344600024

 

DC FieldValueLanguage
dc.contributor.authorZheng, Yu-
dc.contributor.authorHill, David J.-
dc.contributor.authorSong, Yue-
dc.contributor.authorZhao, Junhua-
dc.contributor.authorHui, Shu Yuen Ron-
dc.date.accessioned2020-07-03T08:07:57Z-
dc.date.available2020-07-03T08:07:57Z-
dc.date.issued2020-
dc.identifier.citationIEEE Transactions on Power Systems, 2020, v. 35, n. 1, p. 273-283-
dc.identifier.issn0885-8950-
dc.identifier.urihttp://hdl.handle.net/10722/283663-
dc.description.abstract© 1969-2012 IEEE. This paper addresses the optimal allocation of the electric spring (ES) smart load device in radial distribution systems for voltage regulation. An ES can transform a connected noncritical load into a smart load providing voltage support and voltage suppression functions. A risk-limiting ES planning method is proposed to obtain the optimal ES configuration (number, locations, capacities, and types) to mitigate the voltage violations caused by uncertainties in renewable distributed generation. The forecasting uncertainties are placed into multi-state discrete levels to reduce scenario numbers. The voltage regulation capability of different types of ES are quantified and compared to determine the optimal allocation model. The optimal ES installation plan is identified as per the minimal total cost and lowest voltage violation risk. The proposed optimal allocation method is validated on a modified IEEE 15-bus distribution network.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Power Systems-
dc.subjectvoltage violation risk-
dc.subjectdistribution system-
dc.subjectelectric spring-
dc.subjectOptimal allocation-
dc.titleOptimal Electric Spring Allocation for Risk-Limiting Voltage Regulation in Distribution Systems-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TPWRS.2019.2933240-
dc.identifier.scopuseid_2-s2.0-85078325996-
dc.identifier.hkuros312569-
dc.identifier.volume35-
dc.identifier.issue1-
dc.identifier.spage273-
dc.identifier.epage283-
dc.identifier.eissn1558-0679-
dc.identifier.isiWOS:000509344600024-
dc.identifier.issnl0885-8950-

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