IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i14p3831-d1704689.html
   My bibliography  Save this article

Problems and Strategies for Maintenance Scheduling of a Giant Cascaded Hydropower System in the Lower Jinsha River

Author

Listed:
  • Le Li

    (China Yangtze Power Co., Ltd., Yichang 443000, China)

  • Yushu Wu

    (Institute of Hydropower and Hydroinformatics, Dalian University of Technology, Dalian 116000, China)

  • Yuanyuan Han

    (China Yangtze Power Co., Ltd., Yichang 443000, China)

  • Zixuan Xu

    (Institute of Hydropower and Hydroinformatics, Dalian University of Technology, Dalian 116000, China)

  • Xingye Wu

    (China Yangtze Power Co., Ltd., Yichang 443000, China)

  • Yan Luo

    (China Yangtze Power Co., Ltd., Yichang 443000, China)

  • Jianjian Shen

    (Institute of Hydropower and Hydroinformatics, Dalian University of Technology, Dalian 116000, China)

Abstract

Maintenance scheduling of hydropower units is essential for ensuring the operational security and stability of large-scale cascaded hydropower systems and for improving the efficiency of water energy utilization. This study takes the Cascaded Hydropower System of the Lower Jinsha River (CHSJS) as a representative case, identifying four key challenges facing maintenance planning: multi-dimensional influencing factor coupling, spatial and temporal conflicts with generation dispatch, coordination with transmission line maintenance, and compound uncertainties of inflow and load. To address these issues, four strategic recommendations are proposed: (1) identifying and quantifying the impacts of multi-factor influences on maintenance planning; (2) developing integrated models for the co-optimization of power generation dispatch and maintenance scheduling; (3) formulating coordinated maintenance strategies for hydropower units and associated transmission infrastructure; and (4) constructing joint models to manage the coupled uncertainties of inflow and load. The strategy proposed in this study was applied to the CHSJS, obtaining the weight of the impact factor. The coordinated unit maintenance arrangements of transmission line maintenance periods increased from 56% to 97%. This study highlights the critical need for synergistic optimization of generation dispatch and maintenance scheduling in large-scale cascaded hydropower systems and provides a methodological foundation for future research and practical applications.

Suggested Citation

  • Le Li & Yushu Wu & Yuanyuan Han & Zixuan Xu & Xingye Wu & Yan Luo & Jianjian Shen, 2025. "Problems and Strategies for Maintenance Scheduling of a Giant Cascaded Hydropower System in the Lower Jinsha River," Energies, MDPI, vol. 18(14), pages 1-22, July.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:14:p:3831-:d:1704689
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/14/3831/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/18/14/3831/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peyman Mazidi & Yaser Tohidi & Miguel A. Sanz-Bobi, 2017. "Strategic Maintenance Scheduling of an Offshore Wind Farm in a Deregulated Power System," Energies, MDPI, vol. 10(3), pages 1-20, March.
    2. M. Y. Arafat & M. J. Hossain & Li Li, 2025. "Advanced Deep Learning Based Predictive Maintenance of DC Microgrids: Correlative Analysis," Energies, MDPI, vol. 18(6), pages 1-21, March.
    3. Shen, Jianjian & Cheng, Chuntian & Zhang, Xiufei & Zhou, Binbin, 2018. "Coordinated operations of multiple-reservoir cascaded hydropower plants with cooperation benefit allocation," Energy, Elsevier, vol. 153(C), pages 509-518.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Orlando Duran & Andrea Capaldo & Paulo Andrés Duran Acevedo, 2017. "Lean Maintenance Applied to Improve Maintenance Efficiency in Thermoelectric Power Plants," Energies, MDPI, vol. 10(10), pages 1-21, October.
    2. 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.
    3. Yang, Shenbo & Tan, Zhongfu & Lin, Hongyu & Li, Peng & De, Gejirifu & Zhou, Feng’ao & Ju, Liwei, 2020. "A two-stage optimization model for Park Integrated Energy System operation and benefit allocation considering the effect of Time-Of-Use energy price," Energy, Elsevier, vol. 195(C).
    4. Ade Irawan, Chandra & Starita, Stefano & Chan, Hing Kai & Eskandarpour, Majid & Reihaneh, Mohammad, 2023. "Routing in offshore wind farms: A multi-period location and maintenance problem with joint use of a service operation vessel and a safe transfer boat," European Journal of Operational Research, Elsevier, vol. 307(1), pages 328-350.
    5. Zhang, Junxia & Li, Xingmei & Jia, Dongqing & Zhou, Yuexin, 2023. "A Bi-level programming for union battery swapping stations location-routing problem under joint distribution and cost allocation," Energy, Elsevier, vol. 272(C).
    6. Julia Walgern & Lennart Peters & Reinhard Madlener, 2017. "Economic Evaluation of Maintenance Strategies for Offshore Wind Turbines Based on Condition Monitoring Systems," FCN Working Papers 8/2017, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    7. Ju, Liwei & Bai, Xiping & Li, Gen & Gan, Wei & Qi, Xin & Ye, Fan, 2024. "Two-stage robust transaction optimization model and benefit allocation strategy for new energy power stations with shared energy storage considering green certificate and virtual energy storage mode," Applied Energy, Elsevier, vol. 362(C).
    8. Zhong, Ruida & Zhao, Tongtiegang & Chen, Xiaohong, 2021. "Evaluating the tradeoff between hydropower benefit and ecological interest under climate change: How will the water-energy-ecosystem nexus evolve in the upper Mekong basin?," Energy, Elsevier, vol. 237(C).
    9. Ju, Liwei & Yin, Zhe & Zhou, Qingqing & Li, Qiaochu & Wang, Peng & Tian, Wenxu & Li, Peng & Tan, Zhongfu, 2022. "Nearly-zero carbon optimal operation model and benefit allocation strategy for a novel virtual power plant using carbon capture, power-to-gas, and waste incineration power in rural areas," Applied Energy, Elsevier, vol. 310(C).
    10. Phu Trieu Ha & Dao Trong Tran & Tan Minh Phan & Thang Trung Nguyen, 2024. "Maximization of Total Profit for Hybrid Hydro-Thermal-Wind-Solar Power Systems Considering Pumped Storage, Cascaded Systems, and Renewable Energy Uncertainty in a Real Zone, Vietnam," Sustainability, MDPI, vol. 16(15), pages 1-19, August.
    11. Liu, Shuangquan & Yang, Qiang & Cai, Huaxiang & Yan, Minghui & Zhang, Maolin & Wu, Dianning & Xie, Mengfei, 2019. "Market reform of Yunnan electricity in southwestern China: Practice, challenges and implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    12. Ren, Siyue & Feng, Xiao, 2021. "Emergy evaluation of ladder hydropower generation systems in the middle and lower reaches of the Lancang River," Renewable Energy, Elsevier, vol. 169(C), pages 1038-1050.
    13. Ralf Stetter, 2020. "Approaches for Modelling the Physical Behavior of Technical Systems on the Example of Wind Turbines," Energies, MDPI, vol. 13(8), pages 1-27, April.
    14. Lechtenberg, Fabian & Aresté-Saló, Lluc & Espuña, Antonio & Graells, Moisès, 2025. "Cooperative multi-actor multi-criteria optimization framework for process integration," Applied Energy, Elsevier, vol. 377(PC).
    15. Luciano C. Siebert & Adriana Sbicca & Alexandre Rasi Aoki & Germano Lambert-Torres, 2017. "A Behavioral Economics Approach to Residential Electricity Consumption," Energies, MDPI, vol. 10(6), pages 1-18, June.
    16. Zhou, Yifan & Miao, Jindan & Yan, Bin & Zhang, Zhisheng, 2020. "Bio-objective long-term maintenance scheduling for wind turbines in multiple wind farms," Renewable Energy, Elsevier, vol. 160(C), pages 1136-1147.
    17. Iram Parvez & Jianjian Shen & Ishitaq Hassan & Nannan Zhang, 2021. "Generation of Hydro Energy by Using Data Mining Algorithm for Cascaded Hydropower Plant," Energies, MDPI, vol. 14(2), pages 1-28, January.
    18. Jing, Zhiqiang & Wang, Yimin & Chang, Jianxia & Wang, Xuebin & Zhou, Yong & Li, Liang & Tian, Yuyu, 2024. "Benefit compensation of hydropower-wind-photovoltaic complementary operation in the large clean energy base," Applied Energy, Elsevier, vol. 354(PA).
    19. Zhong, Ruida & Zhao, Tongtiegang & He, Yanhu & Chen, Xiaohong, 2019. "Hydropower change of the water tower of Asia in 21st century: A case of the Lancang River hydropower base, upper Mekong," Energy, Elsevier, vol. 179(C), pages 685-696.
    20. Cheng, Long & Ming, Bo & Cheng, Qiuyu & Jiang, Jianhua & Zhang, Hao & Jurasz, Jakub & Liu, Pan & Li, Meicheng, 2024. "Revealing electricity conversion mechanism of a cascade energy storage system," Energy, Elsevier, vol. 304(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:18:y:2025:i:14:p:3831-:d:1704689. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.