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Optimal Scheduling of Power Systems with High Proportions of Renewable Energy Accounting for Operational Flexibility

Author

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  • Yi Lin

    (State Grid Fujian Economic Research Institute, Fuzhou 350011, China
    College of Electrical Engineering, Zhejiang University, Hangzhou 310058, China)

  • Wei Lin

    (State Grid Fujian Economic Research Institute, Fuzhou 350011, China)

  • Wei Wu

    (State Grid Fujian Economic Research Institute, Fuzhou 350011, China)

  • Zhenshan Zhu

    (College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China)

Abstract

The volatility and uncertainty of high-penetration renewable energy pose significant challenges to the stability of the power system. Current research often fails to consider the insufficient system flexibility during real-time scheduling. To address this issue, this paper proposes a flexibility scheduling method for high-penetration renewable energy power systems that considers flexibility index constraints. Firstly, a quantification method for flexibility resources and demands is introduced. Then, considering the constraint of the flexibility margin index, optimization scheduling strategies for different time scales, including day-ahead scheduling and intra-day scheduling, are developed with the objective of minimizing total operational costs. The intra-day optimization is divided into 15 min and 1 min time scales, to meet the flexibility requirements of different time scales in the power system. Finally, through simulation studies, the proposed strategy is validated to enhance the system’s flexibility and economic performance. The daily operating costs are reduced by 3.1%, and the wind curtailment rate is reduced by 4.7%. The proposed strategy not only considers the economic efficiency of day-ahead scheduling but also ensures a sufficient margin to cope with the uncertainty of intra-day renewable energy fluctuations.

Suggested Citation

  • Yi Lin & Wei Lin & Wei Wu & Zhenshan Zhu, 2023. "Optimal Scheduling of Power Systems with High Proportions of Renewable Energy Accounting for Operational Flexibility," Energies, MDPI, vol. 16(14), pages 1-18, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:14:p:5537-:d:1199547
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    References listed on IDEAS

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    1. Yi Tang & Yuqian Liu & Jia Ning & Jingbo Zhao, 2017. "Multi-Time Scale Coordinated Scheduling Strategy with Distributed Power Flow Controllers for Minimizing Wind Power Spillage," Energies, MDPI, vol. 10(11), pages 1-15, November.
    2. Xi Lu & Michael B. McElroy & Wei Peng & Shiyang Liu & Chris P. Nielsen & Haikun Wang, 2016. "Challenges faced by China compared with the US in developing wind power," Nature Energy, Nature, vol. 1(6), pages 1-6, June.
    3. Zhao, Mingzhe & Wang, Yimin & Wang, Xuebin & Chang, Jianxia & Chen, Yunhua & Zhou, Yong & Guo, Aijun, 2022. "Flexibility evaluation of wind-PV-hydro multi-energy complementary base considering the compensation ability of cascade hydropower stations," Applied Energy, Elsevier, vol. 315(C).
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    1. Antans Sauhats & Roman Petrichenko & Marija Zima-Bockarjova, 2023. "A Pragmatic Approach to the Economic Assessment of Green Synthetic Methane Power in the Baltics," Energies, MDPI, vol. 16(22), pages 1-26, November.

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