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Reserve Planning Method for High-Penetration Wind Power Systems Considering Typhoon Weather

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  • Huiying Cao

    (State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Junzhou Wang

    (State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Sui Peng

    (State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China
    Grid Planning and Research Center, Guangdong Power Grid Corporation, China Southern Power Grid, Guangzhou 510080, China)

  • Wenxuan Pan

    (State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Qing Sun

    (State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Junjie Tang

    (State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

Abstract

The large-scale integration of wind power into coastal power systems introduces significant challenges to reserve planning, especially under the threat of typhoons, which can cause extensive generation loss and threaten system security. Conventional reserve planning methods often fail to account for such extreme typhoon events. To fill the gap, this paper proposes a novel two-stage reserve planning framework that integrates economic optimization with operational security verification. In the first stage, a diverse set of high-impact typhoon scenarios are generated using a multivariate Markov chain Monte Carlo (MMCMC)–based path reconstruction method, which captures the dynamic evolution of key typhoon characteristics. In the second stage, the economically optimal reserve capacity is identified through cost-benefit analysis and then validated against the typhoon scenarios via N − 1 security verification. A case study on the modified IEEE RTS79 test system indicates that economically optimal reserve may be inadequate for ensuring security under severe typhoon conditions. However, a small increase in reserve capacity can effectively enhance system resilience with minimal additional cost. These results highlight the importance of incorporating typhoon scenario-based security verification into reserve planning especially for high-penetration wind power systems in coastal regions.

Suggested Citation

  • Huiying Cao & Junzhou Wang & Sui Peng & Wenxuan Pan & Qing Sun & Junjie Tang, 2025. "Reserve Planning Method for High-Penetration Wind Power Systems Considering Typhoon Weather," Energies, MDPI, vol. 18(17), pages 1-19, September.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:17:p:4737-:d:1743038
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    References listed on IDEAS

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    1. Minhui Qian & Ning Chen & Yuge Chen & Changming Chen & Weiqiang Qiu & Dawei Zhao & Zhenzhi Lin, 2021. "Optimal Coordinated Dispatching Strategy of Multi-Sources Power System with Wind, Hydro and Thermal Power Based on CVaR in Typhoon Environment," Energies, MDPI, vol. 14(13), pages 1-35, June.
    2. Tapetado, Pablo & Usaola, Julio, 2019. "Capacity credits of wind and solar generation: The Spanish case," Renewable Energy, Elsevier, vol. 143(C), pages 164-175.
    3. Donglin Li & Xiaoxin Zhao & Weimao Xu & Chao Ge & Chunzheng Li, 2025. "A Novel Renewable Energy Scenario Generation Method Based on Multi-Resolution Denoising Diffusion Probabilistic Models," Energies, MDPI, vol. 18(14), pages 1-22, July.
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