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dc.date.accessioned2020-06-05T19:36:53Z
dc.date.available2020-06-05T19:36:53Z
dc.date.created2019-06-04T10:20:56Z
dc.date.issued2019
dc.identifier.citationZhang, Xiaoqi Liu, Pan Xu, Chong-Yu Guo, Shenglian Gong, Yu Li, He . Derivation of Hydropower Rules for Multireservoir Systems and Its Application for Optimal Reservoir Storage Allocation. Journal of water resources planning and management. 2019, 145(5)
dc.identifier.urihttp://hdl.handle.net/10852/76731
dc.description.abstractHydropower operating rules can guide reservoir release and storage for maximizing hydropower generation. The optimal hydropower operating rules are usually derived by numerical hydropower simulation methods. This study focuses on the analytical solution to optimal hydropower rules for storage allocation of a multireservoir system. An energy function, the E-function, is proposed to describe the objective of hydropower generation. The E-function for a multireservoir system can be represented as a function of two variables: the proportional coefficient (alpha, which represents the proportional relationship between any two reservoirs in a multireservoir system) and the total increment in storage. The alpha discriminant deduced from the E-function is used to infer the optimal reservoir storage allocation for maximum hydropower generation. With the Ankang-Danjiangkou reservoirs as a case study, the E-function and the alpha discriminant were compared with the numerical hydropower simulation. The results indicated that (1) the E-function can be used to estimate the hydropower generation for multireservoir systems with acceptable hydropower generation estimation errors between the analytical E-function and the numerical hydropower simulation; and (2) the optimal reservoir storage allocation can be explicitly obtained using the alpha discriminant. These findings are helpful for understanding the allocation of reservoir storages in multireservoir systems.en_US
dc.languageEN
dc.titleDerivation of Hydropower Rules for Multireservoir Systems and Its Application for Optimal Reservoir Storage Allocationen_US
dc.typeJournal articleen_US
dc.creator.authorZhang, Xiaoqi
dc.creator.authorLiu, Pan
dc.creator.authorXu, Chong-Yu
dc.creator.authorGuo, Shenglian
dc.creator.authorGong, Yu
dc.creator.authorLi, He
cristin.unitcode185,15,22,0
cristin.unitnameInstitutt for geofag
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1
dc.identifier.cristin1702503
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal of water resources planning and management&rft.volume=145&rft.spage=&rft.date=2019
dc.identifier.jtitleJournal of water resources planning and management
dc.identifier.volume145
dc.identifier.issue5
dc.identifier.doihttps://doi.org/10.1061/(ASCE)WR.1943-5452.0001056
dc.identifier.urnURN:NBN:no-79785
dc.type.documentTidsskriftartikkelen_US
dc.type.peerreviewedPeer reviewed
dc.source.issn0733-9496
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/76731/1/Post-print65419.pdf
dc.type.versionAcceptedVersion
cristin.articleid04019010


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