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dc.contributor.authorLi, Yuanzhengen_US
dc.contributor.authorZhao, Tianyangen_US
dc.contributor.authorLiu, Changen_US
dc.contributor.authorZhao, Yongen_US
dc.contributor.authorYu, Zhiyuanen_US
dc.contributor.authorLi, Kaichengen_US
dc.contributor.authorWu, Leien_US
dc.identifier.citationLi, Y., Zhao, T., Liu, C., Zhao, Y., Yu, Z., Li, K., & Wu, L. (2019). Day-ahead coordinated scheduling of hydro and wind power generation system considering uncertainties. IEEE Transactions on Industry Applications, 55(3), 2368-2377. doi:10.1109/TIA.2019.2893836en_US
dc.description.abstractThis paper presents a day-ahead coordinated scheduling method of hydro and wind power generation systems (HWPGSs) with consideration of uncertainties. In this method, we first formulate the coordinated scheduling model with two-part price and power flow constraints, which manifests the fixed and variable economic benefits as well as the secure operation of HWPGS, respectively. Then, the interval analysis is used to study the effect of uncertain wind power, water inflow, and electricity load on the coordinated scheduling model. Finally, we use a real test system in a western area of China to conduct simulation studies, which verify the effectiveness of the interval analysis and the effect of price mechanism on the day-ahead coordinated scheduling of HWPGS.en_US
dc.relation.ispartofIEEE Transactions on Industry Applicationsen_US
dc.rights© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at:
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleDay-ahead coordinated scheduling of hydro and wind power generation system considering uncertaintiesen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.versionAccepted versionen_US
dc.subject.keywordsCoordinated Schedulingen_US
dc.description.acknowledgementThe work is supported in part by Na-tional Natural Science Foundation of China under Grant 51707069, in part byState Key Laboratory of Synthetical Automation for Process Industries underGrant PAL-N201806, in part by the State Key Program of the National NaturalScience Foundation of China under Grant 51537003, in part by the NationalNatural Science Foundation of China under Grant 51877088, and in part by theFundamental Research Funds for the Central Universities under Grant HUST:2017KFYXJJ178. The work of L. Wu was supported in part by the U.S. ScienceFoundation under Grant ECCS-1254310and in part by the U.S. Department of Energy under Grant DE-OE0000842.en_US
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