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Coordinated Operation Strategy for Large Wind Power Base Considering Wind Power Uncertainty and Frequency Stability Constraint

Author

Listed:
  • Hongtao Liu

    (China Southern Power Grid Company Limited, CSG, Guangzhou 510663, China)

  • Huifan Xie

    (China Southern Power Grid Company Limited, CSG, Guangzhou 510663, China)

  • Jinning Zhang

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Guoteng Wang

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Ying Huang

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

Abstract

In a large wind power base, it becomes unrealistic to rely only on synchronous generators to resist the uncertainty of wind power. A feasible way is to make wind turbines (WTs) and battery energy storage systems (BESSs) participate in frequency regulation. Taking into account the frequency regulation service of WTs and BESSs, the Coordinated Operation Strategy (COS) of the Wind–BESS–Thermal power model will become difficult to solve due to strong nonlinearity. To cope with this challenge, an improved Primary Frequency Regulation (PFR) model is first established considering the frequency regulation of WTs and BESSs. Based on the improved PFR model, the analytical expression of frequency stability constraints is deduced. Next, in view of the wind power uncertainty, the box-type ensemble robust optimization theory is introduced into the day-ahead optimal scheduling, and a robust COS model considering wind power uncertainty and frequency stability constraints is proposed. Then, a linear equivalent transformation method is designed, based on which the original COS model is transformed into a Mixed Integer Linear Programming (MILP) problem. Finally, a modified IEEE 39-bus system is adopted to test the effectiveness of the proposed method.

Suggested Citation

  • Hongtao Liu & Huifan Xie & Jinning Zhang & Guoteng Wang & Ying Huang, 2025. "Coordinated Operation Strategy for Large Wind Power Base Considering Wind Power Uncertainty and Frequency Stability Constraint," Energies, MDPI, vol. 18(17), pages 1-22, August.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:17:p:4625-:d:1738454
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    References listed on IDEAS

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    1. Lu, Jun & Liu, Tianqi & He, Chuan & Nan, Lu & Hu, Xiaotong, 2021. "Robust day-ahead coordinated scheduling of multi-energy systems with integrated heat-electricity demand response and high penetration of renewable energy," Renewable Energy, Elsevier, vol. 178(C), pages 466-482.
    2. Guo, Yi & Ming, Bo & Huang, Qiang & Wang, Yimin & Zheng, Xudong & Zhang, Wei, 2022. "Risk-averse day-ahead generation scheduling of hydro–wind–photovoltaic complementary systems considering the steady requirement of power delivery," Applied Energy, Elsevier, vol. 309(C).
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