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Conference Paper: Wind power forecasting and integration to power grids

TitleWind power forecasting and integration to power grids
Authors
KeywordsPower grids
Wind power
Wind power forecasting
Issue Date2010
PublisherIEEE.
Citation
The 1st International Conference on Green Circuits and Systems (ICGCS 2010), Shanghai, China, 21-23 June 2010. In Proceedings of ICGCS, 2010, p. 555-560 How to Cite?
AbstractThis is a summary of the presentation in the special session: "Digital Signal Processing for Green Power Systems and Delivery". In recent years, wind power penetration level in power systems has increased significantly. Grid integration has become one of the major issues for wind power growth due to the intermittent characteristics of wind power. The uncertainty of power generation from wind farms may result in power system stability and security problems. Accurate wind power forecasting could reduce the uncertainty to generation scheduling to certain extent, hence increase the wind power penetration level in the system. © 2010 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/126151
ISBN
References

 

DC FieldValueLanguage
dc.contributor.authorZhong, Jen_HK
dc.contributor.authorHou, Yen_HK
dc.contributor.authorWu, FFen_HK
dc.date.accessioned2010-10-31T12:12:33Z-
dc.date.available2010-10-31T12:12:33Z-
dc.date.issued2010en_HK
dc.identifier.citationThe 1st International Conference on Green Circuits and Systems (ICGCS 2010), Shanghai, China, 21-23 June 2010. In Proceedings of ICGCS, 2010, p. 555-560en_HK
dc.identifier.isbn978-1-4244-6876-8-
dc.identifier.urihttp://hdl.handle.net/10722/126151-
dc.description.abstractThis is a summary of the presentation in the special session: "Digital Signal Processing for Green Power Systems and Delivery". In recent years, wind power penetration level in power systems has increased significantly. Grid integration has become one of the major issues for wind power growth due to the intermittent characteristics of wind power. The uncertainty of power generation from wind farms may result in power system stability and security problems. Accurate wind power forecasting could reduce the uncertainty to generation scheduling to certain extent, hence increase the wind power penetration level in the system. © 2010 IEEE.en_HK
dc.languageengen_HK
dc.publisherIEEE.-
dc.relation.ispartof1st International Conference on Green Circuits and Systems, ICGCS 2010en_HK
dc.rights©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectPower gridsen_HK
dc.subjectWind poweren_HK
dc.subjectWind power forecastingen_HK
dc.titleWind power forecasting and integration to power gridsen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=978-1-4244-6876-8&volume=&spage=555&epage=560&date=2010&atitle=Wind+power+forecasting+and+integration+to+power+grids-
dc.identifier.emailZhong, J: jinzhong@hkucc.hku.hken_HK
dc.identifier.emailHou, Y: yhhou@hku.hken_HK
dc.identifier.emailWu, FF: ffwu@eee.hku.hken_HK
dc.identifier.authorityZhong, J=rp00212en_HK
dc.identifier.authorityHou, Y=rp00069en_HK
dc.identifier.authorityWu, FF=rp00194en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ICGCS.2010.5542999en_HK
dc.identifier.scopuseid_2-s2.0-77956579251en_HK
dc.identifier.hkuros172193en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77956579251&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage555en_HK
dc.identifier.epage560en_HK
dc.description.otherThe 1st International Conference on Green Circuits and Systems (ICGCS 2010), Shanghai, China, 21-23 June 2010. In Proceedings of ICGCS, 2010, p. 555-560-
dc.identifier.scopusauthoridZhong, J=13905948700en_HK
dc.identifier.scopusauthoridHou, Y=7402198555en_HK
dc.identifier.scopusauthoridWu, FF=7403465107en_HK

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