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Article: Receding horizon control based secondary frequency regulation for power systems with wind energy integration

TitleReceding horizon control based secondary frequency regulation for power systems with wind energy integration
Authors
KeywordsOptimal control
Receding horizon optimization
Secondary frequency control
Wind turbines
Issue Date1-Nov-2022
PublisherElsevier
Citation
International Journal of Electrical Power & Energy Systems, 2022, v. 142 How to Cite?
Abstract

During the last decade, the integration of large-scale renewable energy resources like wind energy into the existing power girds has increased dramatically. In particular, the inherent intermittency and uncertainty of wind power poses new challenges for reliable and stable of power grids. Frequency control is one of the most significant challenges, especially in systems with few control reserves. To address this problem, we propose an optimization-based method for secondary frequency regulation that enables wind turbines to respond to frequency variations. Instead of relying on energy storage systems, the wind turbine's kinetic energy storage and self-regulation capabilities are leveraged to optimize the trade off between providing frequency regulation and maximizing wind power yield. Moreover, the proposed method is amenable to online implementation and shows good performance in scenarios with time varying wind speeds. A detailed case study in a dedicated co-simulation environment is used to validate the proposed optimal control method and demonstrate its improved performance over standard approaches combining maximum power point tracking and conventional automatic generation control.


Persistent Identifierhttp://hdl.handle.net/10722/331777
ISSN
2023 Impact Factor: 5.0
2023 SCImago Journal Rankings: 1.711
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLyu, Xue-
dc.contributor.authorZhao, Yunzheng-
dc.contributor.authorGroß, Dominic-
dc.contributor.authorLiu, Tao-
dc.date.accessioned2023-09-21T06:58:49Z-
dc.date.available2023-09-21T06:58:49Z-
dc.date.issued2022-11-01-
dc.identifier.citationInternational Journal of Electrical Power & Energy Systems, 2022, v. 142-
dc.identifier.issn0142-0615-
dc.identifier.urihttp://hdl.handle.net/10722/331777-
dc.description.abstract<p>During the last decade, the integration of large-scale renewable energy resources like wind energy into the existing power girds has increased dramatically. In particular, the inherent intermittency and uncertainty of wind power poses new challenges for reliable and stable of power grids. Frequency control is one of the most significant challenges, especially in systems with few control reserves. To address this problem, we propose an optimization-based method for secondary frequency regulation that enables wind turbines to respond to frequency variations. Instead of relying on energy storage systems, the wind turbine's kinetic energy storage and self-regulation capabilities are leveraged to optimize the trade off between providing frequency regulation and maximizing wind power yield. Moreover, the proposed method is amenable to online implementation and shows good performance in scenarios with time varying wind speeds. A detailed case study in a dedicated co-simulation environment is used to validate the proposed optimal control method and demonstrate its improved performance over standard approaches combining maximum power point tracking and conventional automatic generation control.<br></p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofInternational Journal of Electrical Power & Energy Systems-
dc.subjectOptimal control-
dc.subjectReceding horizon optimization-
dc.subjectSecondary frequency control-
dc.subjectWind turbines-
dc.titleReceding horizon control based secondary frequency regulation for power systems with wind energy integration-
dc.typeArticle-
dc.identifier.doi10.1016/j.ijepes.2022.108282-
dc.identifier.scopuseid_2-s2.0-85129002177-
dc.identifier.volume142-
dc.identifier.isiWOS:000829903200002-
dc.identifier.issnl0142-0615-

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