Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/26605
Full metadata record
DC FieldValueLanguage
dc.contributor.authorXiang, Y-
dc.contributor.authorZhou, L-
dc.contributor.authorHuang, Y-
dc.contributor.authorZhang, X-
dc.contributor.authorLiu, Y-
dc.contributor.authorLiu, J-
dc.date.accessioned2023-06-05T10:28:49Z-
dc.date.available2023-06-05T10:28:49Z-
dc.date.issued2020-11-26-
dc.identifierORCID iD: Xin Zhang https://orcid.org/0000-0002-6063-959X-
dc.identifier119417-
dc.identifier.citationXiang, Y. et al. (2020) 'Reactive coordinated optimal operation of distributed wind generation', Energy, 218, 119417, pp. 1 - 12. doi: 10.1016/j.energy.2020.119417.en_US
dc.identifier.issn0360-5442-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/26605-
dc.description.abstractLarge-scale distributed wind generation (DWG) integration brings new challenges to the optimal operation of the distribution network. The reactive supports from wind turbines (WTs) and reactive power resources can improve both the operation economy and renewable energy consumption. In this paper, a multi-period reactive coordinated optimal operation model for DWG in the distribution network is established. The active-reactive power coordination characteristics of two typical types of WTs are considered and the operating strategy of reactive power resources is integrated in the model. The second-order cone programming (SOCP) is developed to transform the original nonlinear power flow model into a linear and convex model, which would significantly improve the power flow calculation efficiency for DWG penetrated distribution network. The simulation results show that the integration of reactive power resources can further promote the consumption of DWG and improve the operating profits of the distribution network.en_US
dc.description.sponsorshipYoung Elite Scientists Sponsorship Program of the Chinese Society of Electrical Engineering (CSEE-YESS-2018006); Scientific Foundation for the National Natural Science Foundation of China (51807127).en_US
dc.format.extent1 - 12-
dc.format.mediumPrint-Electronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.rightsCopyright © 2020 Elsevier. All rights reserved. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1016/j.energy.2020.119417, made available on this repository under a Creative Commons CC BY-NC-ND attribution licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.subjectdistributed wind generationen_US
dc.subjectoptimal operationen_US
dc.subjectactive-reactive power coordinationen_US
dc.subjectreactive power resourcesen_US
dc.subjecteconomic benefitsen_US
dc.titleReactive coordinated optimal operation of distributed wind generationen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.energy.2020.119417-
dc.relation.isPartOfEnergy-
pubs.publication-statusPublished-
pubs.volume218-
dc.identifier.eissn1873-6785-
dc.rights.holderElsevier-
Appears in Collections:Dept of Electronic and Electrical Engineering Embargoed Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfCopyright © 2020 Elsevier. All rights reserved. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1016/j.energy.2020.119417, made available on this repository under a Creative Commons CC BY-NC-ND attribution licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).459.15 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons