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Cooperative operation optimization and profit distribution of large-scale cascade hydro complementary plants

Author

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  • Shi, Yunhong
  • Li, Chengjiang
  • Wang, Honglei
  • Wang, Xiaolin
  • Negnevitsky, Michael

Abstract

A multi-energy complementary system integrates multiple uncertain renewable energy sources and storage systems to maximize profit and stability in modern power systems. However, the challenge of dealing with uncertainties in renewable energy generation and fairly distributing profit among different energy entities in a complementary alliance is necessarily addressed. This paper proposes a coordinated operation and profit distribution model for a multi-energy complementary system comprising cascade hydropower plants, wind turbines, photovoltaic plants, and energy storage. The system's operation is optimized using a fuzzy chance-constrained method to account for uncertainties in renewable energy generation to achieve the maximum profit for the joint power output. A modified Shapley value method is introduced for fair profit allocation among the entities, considering stability, reliability, and risk factors. Results show that considering uncertainties leads to a 4.64 % decrease in total exported electricity but improves the utilization of renewable energy by reducing abandonment rates. The modified contribution ratios of the wind turbines, photovoltaic, hydropower plants, and energy storage on the increased profits due to the cooperative alliance are 5.71 %, 39.90 %, 6.36 %, and 48.03 %, respectively. The study demonstrates the effectiveness of the proposed approach in maximizing profit and ensuring system stability in multi-energy complementary systems.

Suggested Citation

  • Shi, Yunhong & Li, Chengjiang & Wang, Honglei & Wang, Xiaolin & Negnevitsky, Michael, 2026. "Cooperative operation optimization and profit distribution of large-scale cascade hydro complementary plants," Renewable Energy, Elsevier, vol. 257(C).
  • Handle: RePEc:eee:renene:v:257:y:2026:i:c:s096014812502484x
    DOI: 10.1016/j.renene.2025.124820
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    References listed on IDEAS

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