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Gas−Hydro Coordinated Peaking Considering Source-Load Uncertainty and Deep Peaking

Author

Listed:
  • Chong Wu

    (Energy Planning and Research Institute, Southwest Electric Power Design Institute Co., Ltd., China Power Engineering Consulting Group, Chengdu 610500, China)

  • Tong Xu

    (Energy Planning and Research Institute, Southwest Electric Power Design Institute Co., Ltd., China Power Engineering Consulting Group, Chengdu 610500, China)

  • Shenhao Yang

    (Energy Planning and Research Institute, Southwest Electric Power Design Institute Co., Ltd., China Power Engineering Consulting Group, Chengdu 610500, China)

  • Yong Zheng

    (Energy Planning and Research Institute, Southwest Electric Power Design Institute Co., Ltd., China Power Engineering Consulting Group, Chengdu 610500, China)

  • Xiaobin Yan

    (Energy Planning and Research Institute, Southwest Electric Power Design Institute Co., Ltd., China Power Engineering Consulting Group, Chengdu 610500, China)

  • Maoyu Mao

    (School of Electrical and Information, Southwest Petroleum University, Chengdu 610500, China)

  • Ziyi Jiang

    (School of Electrical and Information, Southwest Petroleum University, Chengdu 610500, China)

  • Qian Li

    (School of Electrical and Information, Southwest Petroleum University, Chengdu 610500, China)

Abstract

Considering the power demand in high-altitude special environmental areas and the peak-regulation issues in the power system caused by the uncertainties associated with wind and photovoltaic power as well as load, a gas–hydro coordinated peak-shaving method that considers source-load uncertainty is proposed. Firstly, based on the regulation-related characteristics of hydropower and gas power, a gas−hydro coordinated operation mode is proposed. Secondly, the system operational risk caused by source-load uncertainty is quantified based on the Conditional Value-at-Risk theory. Then, the cost of deep peak shaving in connection with gas-fired power generation is estimated, and a gas−hydro coordinated peak-shaving model considering risk constraints and deep peak shaving is established. Finally, a specific example verifies that the proposed gas−hydro coordinated peak-regulation model can effectively improve the economy of the system. The total system profit increased by 36.03%, indicating that this method enhances the total system profit and achieves better peak-shaving effects.

Suggested Citation

  • Chong Wu & Tong Xu & Shenhao Yang & Yong Zheng & Xiaobin Yan & Maoyu Mao & Ziyi Jiang & Qian Li, 2025. "Gas−Hydro Coordinated Peaking Considering Source-Load Uncertainty and Deep Peaking," Energies, MDPI, vol. 18(5), pages 1-23, March.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:5:p:1234-:d:1604471
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