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Conference Paper: Optimal control of battery for grid-connected wind-storage system

TitleOptimal control of battery for grid-connected wind-storage system
Authors
Liang, LZhong, J
KeywordsEnergy storage
Optimal sizing
Wind farm
Renewable energy integration
Power fluctuation
Issue Date2012
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000316
Citation
The IEEE 15th International Conference on Harmonics and Quality of Power (ICHQP 2012), Hong Kong, 17-20 June 2012. In Proceedings of the 15th ICHQP, 2012, p. 701-706 How to Cite?
DOI: http://dx.doi.org/10.1109/ICHQP.2012.6381202
AbstractThe penetration level of large-scale wind farms is restricted by the output uncertainties of wind power generations. Energy storage systems with fast response time and high operation efficiencies, such as, flywheel and battery could be used as one of the solutions for large-scale wind power integration to power grid. To mitigate the power fluctuation of wind farm, an optimal control method of battery energy storage system is proposed for grid-connected wind system in this paper. Based on one-day ahead forecasted data of wind farm output, an optimization model is proposed to minimize the output power fluctuation as well as energy storage subject to battery capacity and power constraints. The solution algorithm is presented to solve the nonlinear optimization model. Finally, case studies with different output power curves of wind farm are presented to analyze the inter-relationship of energy storage capacity, energy storage output power and wind power fluctuation and typical configuration of battery energy storage system for wind-storage hybrid system is proposed. © 2012 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/153081
ISBN
978-1-4673-1943-0

 

DC FieldValueLanguage
dc.contributor.authorLiang, Len_US
dc.contributor.authorZhong, Jen_US
dc.date.accessioned2012-07-16T09:55:46Z-
dc.date.available2012-07-16T09:55:46Z-
dc.date.issued2012en_US
dc.identifier.citationThe IEEE 15th International Conference on Harmonics and Quality of Power (ICHQP 2012), Hong Kong, 17-20 June 2012. In Proceedings of the 15th ICHQP, 2012, p. 701-706en_US
dc.identifier.isbn978-1-4673-1943-0-
dc.identifier.urihttp://hdl.handle.net/10722/153081-
dc.description.abstractThe penetration level of large-scale wind farms is restricted by the output uncertainties of wind power generations. Energy storage systems with fast response time and high operation efficiencies, such as, flywheel and battery could be used as one of the solutions for large-scale wind power integration to power grid. To mitigate the power fluctuation of wind farm, an optimal control method of battery energy storage system is proposed for grid-connected wind system in this paper. Based on one-day ahead forecasted data of wind farm output, an optimization model is proposed to minimize the output power fluctuation as well as energy storage subject to battery capacity and power constraints. The solution algorithm is presented to solve the nonlinear optimization model. Finally, case studies with different output power curves of wind farm are presented to analyze the inter-relationship of energy storage capacity, energy storage output power and wind power fluctuation and typical configuration of battery energy storage system for wind-storage hybrid system is proposed. © 2012 IEEE.-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000316-
dc.relation.ispartofInternational Conference on Harmonics and Quality of Power Proceedingsen_US
dc.subjectEnergy storage-
dc.subjectOptimal sizing-
dc.subjectWind farm-
dc.subjectRenewable energy integration-
dc.subjectPower fluctuation-
dc.titleOptimal control of battery for grid-connected wind-storage systemen_US
dc.typeConference_Paperen_US
dc.identifier.emailLiang, L: liangl@hku.hken_US
dc.identifier.emailZhong, J: jinzhong@hkucc.hku.hk-
dc.identifier.authorityZhong, J=rp00212en_US
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICHQP.2012.6381202-
dc.identifier.scopuseid_2-s2.0-84873420269-
dc.identifier.hkuros201940en_US
dc.identifier.spage701-
dc.identifier.epage706-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 130408-

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