Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91689
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Title: Optimal power regulation for wind integration in the balancing market environment
Authors: Lyu, X
Gross, D
Xu, Z 
Dong, ZY
Jia, YW
Issue Date: Nov-2021
Source: IET renewable power generation, Nov. 2021, v. 15, no. 15, p. 3601-3611
Abstract: Variable renewable generation and load fluctuations induce significant balancing cost in power system operation. To overcome this issue, this paper proposes a control architecture that leverages inherent regulation capabilities of wind turbines to minimize the system-wide balancing costs. Instead of handling wind power fluctuations via power filtering algorithms that are agnostic to system-wide power imbalance, this paper aims to optimize the wind power generation profile from system perspective. In the proposed method, wind turbines are modelled as semi-dispatchable units, where the dispatch command is dynamically generated at every automatic generation control cycle by considering mileage payments as an indicator of system-wide imbalance. As a result, local resources of wind turbines are optimally leveraged in real-time to mitigate system-wide power imbalances. The proposed strategy and state-of-the-art techniques are compared in comprehensive high-fidelity case studies. Our simulation results demonstrate that the proposed system-aware regulation scheme can alleviate system balancing costs without investments into energy storage systems.
Publisher: Institution of Engineering and Technology
Journal: IET renewable power generation 
ISSN: 1752-1416
EISSN: 1752-1424
DOI: 10.1049/rpg2.12248
Rights: © 2021 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Ain Shams University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
The following publication Lyu, X., Groß, D., Xu, Z., Dong, Z., & Jia, Y. (2021). Optimal power regulation for wind integration in the balancing market environment. IET Renewable Power Generation, 15(15), 3601-3611 is available at https://doi.org/10.1049/rpg2.12248
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