Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/103890
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dc.contributorDepartment of Electrical and Electronic Engineeringen_US
dc.creatorZhu, Xen_US
dc.creatorGuo, Yen_US
dc.creatorLi, Sen_US
dc.creatorDeng, Jen_US
dc.creatorJi, Ten_US
dc.date.accessioned2024-01-10T02:41:14Z-
dc.date.available2024-01-10T02:41:14Z-
dc.identifier.urihttp://hdl.handle.net/10397/103890-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.rights©2022 The Author(s). Published by Elsevier Ltd. This is an open access article under theCCBY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
dc.rightsThe following publication Zhu, X., Guo, Y., Li, S., Deng, J., & Ji, T. (2022). Optimal location and capacity planning of UPQCs considering operation dispatching in distribution grid with distributed generators. Energy Reports, 8,13, 832-842 is available at https://doi.org/10.1016/j.egyr.2022.08.133.en_US
dc.subjectUPQCen_US
dc.subjectLocation and capacity planningen_US
dc.subjectOptimal dispatchingen_US
dc.subjectDistributed generatoren_US
dc.subjectPower quality managementen_US
dc.titleOptimal location and capacity planning of UPQCs considering operation dispatching in distribution grid with distributed generatorsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage832en_US
dc.identifier.epage842en_US
dc.identifier.volume8en_US
dc.identifier.issuesuppl. 13en_US
dc.identifier.doi10.1016/j.egyr.2022.08.133en_US
dcterms.abstractThe unified power quality conditioner (UPQC) has prospects in power quality management considering green energy integration. This paper proposes an optimization method for the location and capacity planning of UPQCs in the distribution grid with distributed generators. The planning and dispatching of UPQCs are combined into a coupled optimization model in this paper. The dual-controlled-source model is proposed and well used to describe the operation state of UPQC. Fluctuations in the output of wind generators and photovoltaic power plants are also taken into account. The improved golden eagle optimization (IMOGEO) algorithm, based on the two-archive strategy, can better balance the convergence and diversity of the non-dominated solution set. A case study is carried out based on the modified IEEE 33-node distribution grid model including DGs and loads with a diurnal variation. The optimized schemes of location and capacity are obtained, and the corresponding dispatching strategies display the superiority in both voltage variation and line loss. The results verify the effectiveness and advantages of the proposed method.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEnergy reports, Nov. 2022, v. 8, suppl. 13, p. 832-842en_US
dcterms.isPartOfEnergy reportsen_US
dcterms.issued2022-11-
dc.identifier.isiWOS:000865597700040-
dc.identifier.scopus2-s2.0-85136518511-
dc.identifier.eissn2352-4847en_US
dc.description.validate202401 bcvcen_US
dc.description.oaVersion of Recorden_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextState Grid Qinghai Electric Power Company Project, Chinaen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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