Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/143712
Title: Day-ahead coordinated scheduling of hydro and wind power generation system considering uncertainties
Authors: Li, Yuanzheng
Zhao, Tianyang
Liu, Chang
Zhao, Yong
Yu, Zhiyuan
Li, Kaicheng
Wu, Lei
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: Li, 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.2019.2893836
Journal: IEEE Transactions on Industry Applications
Abstract: This 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.
URI: https://hdl.handle.net/10356/143712
ISSN: 0093-9994
DOI: 10.1109/TIA.2019.2893836
Schools: School of Electrical and Electronic Engineering 
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: https://doi.org/10.1109/TIA.2019.2893836.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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