DC FieldValueLanguage
dc.contributorDepartment of Civil and Environmental Engineering-
dc.creatorChen, HT-
dc.creatorWang, WC-
dc.creatorChau, KW-
dc.creatorXu, L-
dc.creatorHe, J-
dc.date.accessioned2021-11-23T06:06:51Z-
dc.date.available2021-11-23T06:06:51Z-
dc.identifier.issn0920-4741-
dc.identifier.urihttp://hdl.handle.net/10397/91635-
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectFlood control operationen_US
dc.subjectReservoir groupen_US
dc.subjectSwarm intelligenceen_US
dc.subjectYYFA algorithmen_US
dc.subjectε constrained methoden_US
dc.titleFlood control operation of reservoir group using Yin-Yang Firefly Algorithmen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage5325-
dc.identifier.epage5345-
dc.identifier.volume35-
dc.identifier.issue15-
dc.identifier.doi10.1007/s11269-021-03005-z-
dcterms.abstractFlood control operation (FCO) of a reservoir is a complex optimization problem with a large number of constraints. With the rapid development of optimization techniques in recent years, more and more research efforts have been devoted to optimizing FCO problems. However, for solving large-scale reservoir group optimization problem, this is still a challenging task. In this work, a reservoir group FCO model is established with minimum flood volume stored in each reservoir and minimum peak flow of downstream control point during the dispatch process. At the same time, a flood forecast model for FCO of a reservoir group is developed by coupling Yin-Yang firefly algorithm (YYFA) with ε constrained method. As a case study, the proposed model is applied to a three-reservoir flood control system in Luanhe River Basin consisting of reservoirs, river channels, and downstream control points. Results show that optimal operation of three reservoirs systems can efficiently reduce the occupied storage capacity for flood control and flood peaks at downstream control point of the basin. The proposed method can be extended to FCO of other reservoir groups with similar conditions.-
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationWater resources management, Dec. 2021, v.35, no. 15, p. 5325-5345-
dcterms.isPartOfWater resources management-
dcterms.issued2021-12-
dc.identifier.scopus2-s2.0-85117888969-
dc.identifier.eissn1573-1650-
dc.description.validate202111 bcvc-
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera1056-n01en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2022.12.31en_US
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