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Comparative analysis of multi-mode operation for cascade hydropower plants and assessment of carbon reduction benefits

Author

Listed:
  • Zhang, Junhao
  • Wang, Yimin
  • Guo, Aijun
  • Chang, Jianxia
  • Wang, Xuebin
  • Meng, Xuejiao
  • Niu, Chen
  • Li, Zhehao

Abstract

Cascade development is a key approach for modern hydropower utilization. However, differences in ownership and scheduling authority lead to multiple operation modes in cascade hydropower plants, including cooperative scheduling (CSM), game-based scheduling (GSM), and independent scheduling (ISM). These modes influence both operational efficiency and the accommodation of wind and PV, thereby affecting the power system's carbon reduction potential. This study proposes a framework to evaluate carbon reduction benefits under different scheduling modes. A load generalization method is developed to capture daily variability and peak shaving, based on which a multi-energy complementary carbon reduction model (MECR-PS) is established. Using the LYX, LXW, and NN cascade hydropower plant as a case study, the results show: (1) CSM improves carbon reduction benefits by 3.5 % compared to ISM and GSM. (2) GSM benefits upstream plants, while ISM favors downstream plants. (3) Wind generation and hydropower discharge are positively correlated with carbon reduction. (4) Under high-flow conditions, GSM for the upstream, ISM for the midstream, and CSM for the downstream plants yield the highest individual power generation. Under other conditions, CSM consistently delivers the highest generation across all plants. These findings offer valuable insights for cascade hydropower operation and low-carbon power system development worldwide.

Suggested Citation

  • Zhang, Junhao & Wang, Yimin & Guo, Aijun & Chang, Jianxia & Wang, Xuebin & Meng, Xuejiao & Niu, Chen & Li, Zhehao, 2026. "Comparative analysis of multi-mode operation for cascade hydropower plants and assessment of carbon reduction benefits," Renewable Energy, Elsevier, vol. 256(PI).
    • Handle: RePEc:eee:renene:v:256:y:2026:i:pi:s0960148125023316
    DOI: 10.1016/j.renene.2025.124667
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    References listed on IDEAS

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    1. Rashid, Muhammad Usman & Abid, Irfan & Latif, Abid, 2022. "Optimization of hydropower and related benefits through Cascade Reservoirs for sustainable economic growth," Renewable Energy, Elsevier, vol. 185(C), pages 241-254.
    2. Jin, Xiaoyu & Liu, Benxi & Liao, Shengli & Cheng, Chuntian & Zhang, Yi & Jia, Zebin, 2024. "Assessing hydropower capability for accommodating variable renewable energy considering peak shaving of multiple power grids," Energy, Elsevier, vol. 305(C).
    3. Shengli Liao & Yan Zhang & Jie Liu & Benxi Liu & Zhanwei Liu, 2021. "Short-Term Peak-Shaving Operation of Single-Reservoir and Multicascade Hydropower Plants Serving Multiple Power Grids," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(2), pages 689-705, January.
    4. Zhang, Junhao & Guo, Aijun & Wang, Yimin & Chang, Jianxia & Wang, Xuebin & Wang, Zhen & Tian, Yuyu & Jing, Zhiqiang & Peng, Zhiwen, 2024. "How to achieve optimal photovoltaic plant capacity in hydro-photovoltaic complementary systems: Fully coupling long-term and short-term operational modes of cascade hydropower plants," Energy, Elsevier, vol. 313(C).
    5. Wu, Yuqiang & Liao, Shengli & Liu, Benxi & Cheng, Chuntian & Zhao, Hongye & Fang, Zhou & Lu, Jia, 2024. "Short-term load distribution model for cascade giant hydropower stations with complex hydraulic and electrical connections," Renewable Energy, Elsevier, vol. 232(C).
    6. Zhang, Junhao & Wang, Yimin & Wang, Xuebin & Guo, Aijun & Chang, Jianxia & Niu, Chen & Li, Zhehao & Wang, Liyuan & Ren, Chengqing, 2025. "Quantitative analysis and operation strategies for daily-regulation hydropower plants impacted by upstream plant," Energy, Elsevier, vol. 328(C).
    7. Lin, Fanqi & Zhou, Yanlai & Ning, Zhihao & Liu, Pan & Chang, Fi-John & Xu, Chong-Yu, 2025. "Unlocking hydropower synergies: Multi-objective optimization drawdown operation of cascade reservoirs," Renewable Energy, Elsevier, vol. 247(C).
    8. He, Shaokun & Li, BinBin & Li, Qianxun & Zheng, Hezhen & Chen, Yingjian, 2025. "Refining hydropower operation by dynamic control of cascade reservoir water levels with flood season segmentation," Energy, Elsevier, vol. 314(C).
    9. Wu, Chen & Liu, Pan & Cheng, Qian & Yang, Zhikai & Huang, Kangdi & Liu, Zheyuan & Zheng, Yalian & Li, Xiao & Zhou, Yong & Jiang, Dingguo & Yu, Yi, 2025. "Analytical method for optimizing capacity expansion of existing hydropower plants in hydro-wind-photovoltaic hybrid system: A case study in the Yalong River basin," Applied Energy, Elsevier, vol. 383(C).
    10. Yang Li & Ni Fang & Shengming He & Feng Wu & Outing Li & Linjun Shi & Renshan Ding, 2024. "Two-Stage Stochastic Scheduling of Cascaded Hydropower–Wind–Photovoltaic Hybrid Systems Considering Contract Decomposition and Spot Market," Sustainability, MDPI, vol. 16(3), pages 1-19, January.
    11. Yun Chen & Zhigen Hu & Quan Liu & Shu Chen, 2020. "Evolutionary Game Analysis of Tripartite Cooperation Strategy under Mixed Development Environment of Cascade Hydropower Stations," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(6), pages 1951-1970, April.
    12. Suyog Chaudhari & Erik Brown & Raul Quispe-Abad & Emilio Moran & Norbert Müller & Yadu Pokhrel, 2021. "In-stream turbines for rethinking hydropower development in the Amazon basin," Nature Sustainability, Nature, vol. 4(8), pages 680-687, August.
    13. Zhao, Zhipeng & Deng, Zhihao & Jin, Xiaoyu & Jia, Zebin & Cao, Rui & Cheng, Chuntian, 2025. "Managing long-term operation of cascade hydropower plants under energy transition with physics-constrained long-short term memory networks," Applied Energy, Elsevier, vol. 393(C).
    14. Liu, Hailiang & Brown, Tom & Andresen, Gorm Bruun & Schlachtberger, David P. & Greiner, Martin, 2019. "The role of hydro power, storage and transmission in the decarbonization of the Chinese power system," Applied Energy, Elsevier, vol. 239(C), pages 1308-1321.
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