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Conference Paper: Optimal short-term power dispatch scheduling for a wind farm with battery energy storage

TitleOptimal short-term power dispatch scheduling for a wind farm with battery energy storage
Authors
KeywordsBattery energy storage system (BESS)
Differential evolution (DE)
Dispatch scheduling; Wind farm
Issue Date2015
PublisherElsevier Limited.
Citation
The 9th IFAC Symposium on Control of Power and Energy Systems (CPES 2015), New Delhi, India, 9-11 December 2015. In IFAC-PapersOnLine, 2015, v. 48 n. 30, p. 518-523 How to Cite?
AbstractThe penetration of renewable energy is increasing rapidly in recent years due to the environmental concerns. The intermittent nature of renewable energy makes the dispatch of the grid a major challenge. Hence, there are many restrictions stipulated for the integration of the renewable energy. The development of battery energy storage systems (BESS) enables the renewable generation with flexible operation and to meet the requirements of the grid. In this paper, an optimal power dispatch scheduling method based on model predictive control (MPC) scheme is proposed for a wind farm with battery energy storage system. The objective of the proposed method is to minimize the energy loss of the wind farm and the battery usage while meeting the grid constraints. During the operation process, the information of wind farm output and battery state is update continuously and short-term power dispatch is scheduled by wind speed forecast within the optimal horizon. The proposed optimization problem is solved by a differential evolution (DE) algorithm at each time interval. Finally, the novel short-term wind power dispatch scheme is demonstrated in a 30MW wind farm test case with historic wind speed data. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/232358
ISBN
ISSN
2023 SCImago Journal Rankings: 0.365
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZheng, Y-
dc.contributor.authorHill, DJ-
dc.contributor.authorMeng, K-
dc.contributor.authorLuo, FJ-
dc.contributor.authorDong, ZY-
dc.date.accessioned2016-09-20T05:29:26Z-
dc.date.available2016-09-20T05:29:26Z-
dc.date.issued2015-
dc.identifier.citationThe 9th IFAC Symposium on Control of Power and Energy Systems (CPES 2015), New Delhi, India, 9-11 December 2015. In IFAC-PapersOnLine, 2015, v. 48 n. 30, p. 518-523-
dc.identifier.isbn978-1-5108-1939-9-
dc.identifier.issn2405-8963-
dc.identifier.urihttp://hdl.handle.net/10722/232358-
dc.description.abstractThe penetration of renewable energy is increasing rapidly in recent years due to the environmental concerns. The intermittent nature of renewable energy makes the dispatch of the grid a major challenge. Hence, there are many restrictions stipulated for the integration of the renewable energy. The development of battery energy storage systems (BESS) enables the renewable generation with flexible operation and to meet the requirements of the grid. In this paper, an optimal power dispatch scheduling method based on model predictive control (MPC) scheme is proposed for a wind farm with battery energy storage system. The objective of the proposed method is to minimize the energy loss of the wind farm and the battery usage while meeting the grid constraints. During the operation process, the information of wind farm output and battery state is update continuously and short-term power dispatch is scheduled by wind speed forecast within the optimal horizon. The proposed optimization problem is solved by a differential evolution (DE) algorithm at each time interval. Finally, the novel short-term wind power dispatch scheme is demonstrated in a 30MW wind farm test case with historic wind speed data. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.-
dc.languageeng-
dc.publisherElsevier Limited.-
dc.relation.ispartofIFAC-PapersOnLine-
dc.subjectBattery energy storage system (BESS)-
dc.subjectDifferential evolution (DE)-
dc.subjectDispatch scheduling; Wind farm-
dc.titleOptimal short-term power dispatch scheduling for a wind farm with battery energy storage-
dc.typeConference_Paper-
dc.identifier.emailZheng, Y: zhy9639@hku.hk-
dc.identifier.emailHill, DJ: dhill@eee.hku.hk-
dc.identifier.authorityHill, DJ=rp01669-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1016/j.ifacol.2015.12.432-
dc.identifier.scopuseid_2-s2.0-84964290819-
dc.identifier.hkuros266479-
dc.identifier.volume48-
dc.identifier.issue30-
dc.identifier.spage518-
dc.identifier.epage523-
dc.identifier.isiWOS:000375855300089-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 161006-
dc.identifier.issnl2405-8963-

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