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- Publisher Website: 10.1109/TPWRS.2021.3059727
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Article: System-oriented Power Regulation Scheme For Wind Farms: The Quest For Uncertainty Management
Title | System-oriented Power Regulation Scheme For Wind Farms: The Quest For Uncertainty Management |
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Authors | |
Keywords | Wind farm wind power regulation optimal control online application |
Issue Date | 2021 |
Publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=59 |
Citation | IEEE Transactions on Power Systems, 2021, v. 36 n. 5, p. 4259-4269 How to Cite? |
Abstract | High penetration of wind energy has intensified system pressure in balancing supply and demand due to the uncertainty nature of wind velocity. To mitigate the negative impacts brought along by wind power integration, an optimal power regulation scheme for a wind farm is proposed in this work. Specifically, the benefits of the designed wind power regulation scheme is innovatively quantified via the reduction of balancing cost. To handle wind uncertainty while determining generation profile for the wind farm, a robust strategy is introduced in the proposed control. In addition, the aerodynamic interactions among wind turbines are considered. To bypass the nonlinearity and non-convexity involved in the optimization problem and achieve online application, an artificial intelligence aided control is newly designed. Simulation results demonstrate the good performance of the proposed control scheme under multiple operation scenarios. |
Persistent Identifier | http://hdl.handle.net/10722/306689 |
ISSN | 2023 Impact Factor: 6.5 2023 SCImago Journal Rankings: 3.827 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Lyu, X | - |
dc.contributor.author | Jia, Y | - |
dc.contributor.author | Liu, T | - |
dc.contributor.author | Chai, S | - |
dc.date.accessioned | 2021-10-22T07:38:12Z | - |
dc.date.available | 2021-10-22T07:38:12Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | IEEE Transactions on Power Systems, 2021, v. 36 n. 5, p. 4259-4269 | - |
dc.identifier.issn | 0885-8950 | - |
dc.identifier.uri | http://hdl.handle.net/10722/306689 | - |
dc.description.abstract | High penetration of wind energy has intensified system pressure in balancing supply and demand due to the uncertainty nature of wind velocity. To mitigate the negative impacts brought along by wind power integration, an optimal power regulation scheme for a wind farm is proposed in this work. Specifically, the benefits of the designed wind power regulation scheme is innovatively quantified via the reduction of balancing cost. To handle wind uncertainty while determining generation profile for the wind farm, a robust strategy is introduced in the proposed control. In addition, the aerodynamic interactions among wind turbines are considered. To bypass the nonlinearity and non-convexity involved in the optimization problem and achieve online application, an artificial intelligence aided control is newly designed. Simulation results demonstrate the good performance of the proposed control scheme under multiple operation scenarios. | - |
dc.language | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=59 | - |
dc.relation.ispartof | IEEE Transactions on Power Systems | - |
dc.rights | IEEE Transactions on Power Systems. Copyright © Institute of Electrical and Electronics Engineers. | - |
dc.rights | ©2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.subject | Wind farm | - |
dc.subject | wind power regulation | - |
dc.subject | optimal control | - |
dc.subject | online application | - |
dc.title | System-oriented Power Regulation Scheme For Wind Farms: The Quest For Uncertainty Management | - |
dc.type | Article | - |
dc.identifier.email | Liu, T: taoliu@eee.hku.hk | - |
dc.identifier.authority | Liu, T=rp02045 | - |
dc.description.nature | postprint | - |
dc.identifier.doi | 10.1109/TPWRS.2021.3059727 | - |
dc.identifier.scopus | eid_2-s2.0-85100915735 | - |
dc.identifier.hkuros | 328539 | - |
dc.identifier.volume | 36 | - |
dc.identifier.issue | 5 | - |
dc.identifier.spage | 4259 | - |
dc.identifier.epage | 4269 | - |
dc.identifier.isi | WOS:000686891700040 | - |
dc.publisher.place | United States | - |