Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91689
DC FieldValueLanguage
dc.contributorDepartment of Electrical Engineering-
dc.creatorLyu, X-
dc.creatorGross, D-
dc.creatorXu, Z-
dc.creatorDong, ZY-
dc.creatorJia, YW-
dc.date.accessioned2021-11-24T06:07:45Z-
dc.date.available2021-11-24T06:07:45Z-
dc.identifier.issn1752-1416-
dc.identifier.urihttp://hdl.handle.net/10397/91689-
dc.language.isoenen_US
dc.publisherInstitution of Engineering and Technologyen_US
dc.rights© 2021 The Authors. IET Renewable Power Generation published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technologyen_US
dc.rightsThis is an open access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work isproperly cited.en_US
dc.rightsThe following publication Lyu, X., et al.: Optimal powerregulation for wind integration in the balancing marketenvironment. IET Renew. Power Gener. 2021;15:3601–3611 is available at https://doi.org/10.1049/rpg2.12248en_US
dc.titleOptimal power regulation for wind integration in the balancing market environmenten_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.doi10.1049/rpg2.12248-
dcterms.abstractVariable renewable generation and load fluctuations induce significant balancing cost in power system operation. To overcome this issue, this paper proposes a control architecture that leverages inherent regulation capabilities of wind turbines to minimize the system-wide balancing costs. Instead of handling wind power fluctuations via power filtering algorithms that are agnostic to system-wide power imbalance, this paper aims to optimize the wind power generation profile from system perspective. In the proposed method, wind turbines are modelled as semi-dispatchable units, where the dispatch command is dynamically generated at every automatic generation control cycle by considering mileage payments as an indicator of system-wide imbalance. As a result, local resources of wind turbines are optimally leveraged in real-time to mitigate system-wide power imbalances. The proposed strategy and state-of-the-art techniques are compared in comprehensive high-fidelity case studies. Our simulation results demonstrate that the proposed system-aware regulation scheme can alleviate system balancing costs without investments into energy storage systems.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIET renewable power generation, 2021, Early view, https://doi.org/10.1049/rpg2.12248-
dcterms.isPartOfIET renewable power generation-
dcterms.issued2021-
dc.identifier.isiWOS:000675545400001-
dc.identifier.eissn1752-1424-
dc.description.validate202111 bchy-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.pubStatusEarly releaseen_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Lyu_Optimal_power_regulation.pdf2.24 MBAdobe PDFView/Open
Access
View full-text via PolyU eLinks SFX Query
Show simple item record
PIRA download icon_1.1View/Download Full Text

Page views

31
Citations as of Jan 16, 2022

Downloads

5
Citations as of Jan 16, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.