IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i24p8049-d1299649.html
   My bibliography  Save this article

Optimal Capacity Configuration of Pumped-Storage Units Used to Retrofit Cascaded Hydropower Stations

Author

Listed:
  • Yang Li

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)

  • Feilong Hong

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)

  • Xiaohui Ge

    (State Grid Zhejiang Electric Power Company Research Institute, Hangzhou 310014, China)

  • Xuesong Zhang

    (State Grid Zhejiang Electric Power Company Research Institute, Hangzhou 310014, China)

  • Bo Zhao

    (State Grid Zhejiang Electric Power Company Research Institute, Hangzhou 310014, China)

  • Feng Wu

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)

Abstract

As flexible resources, cascaded hydropower stations can regulate the fluctuations caused by wind and photovoltaic power. Constructing pumped-storage units between two upstream and downstream reservoirs is an effective method to further expand the capacity of flexible resources. This method transforms cascaded hydropower stations into a cascaded pumped-hydro-energy storage system. In this paper, a flexibility reformation planning model of cascaded hydropower stations retrofitted with pumped-storage units under a hybrid system composed of thermal, wind, and photovoltaic power is established with the aim of investigating the optimal capacity of pumped-storage units. First, a generative adversarial network and a density peak clustering algorithm are utilized to generate typical scenarios to deal with the seasonal fluctuation of renewable energy generation, natural water inflow, and loads. Then, a full-scenario optimization method is proposed to optimize the operation costs of multiple scenarios considering the variable-speed operation characteristics of pumped storage and to obtain a scheme with better comprehensive economy. Meanwhile, the proposed model is retransformed into a mixed-integer linear programming problem to simplify the solution. Case studies in Sichuan province are used to demonstrate the effectiveness of the proposed model.

Suggested Citation

  • Yang Li & Feilong Hong & Xiaohui Ge & Xuesong Zhang & Bo Zhao & Feng Wu, 2023. "Optimal Capacity Configuration of Pumped-Storage Units Used to Retrofit Cascaded Hydropower Stations," Energies, MDPI, vol. 16(24), pages 1-22, December.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:24:p:8049-:d:1299649
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/24/8049/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/24/8049/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhang, Hongxuan & Lu, Zongxiang & Hu, Wei & Wang, Yiting & Dong, Ling & Zhang, Jietan, 2019. "Coordinated optimal operation of hydro–wind–solar integrated systems," Applied Energy, Elsevier, vol. 242(C), pages 883-896.
    2. Ju, Chang & Ding, Tao & Jia, Wenhao & Mu, Chenggang & Zhang, Hongji & Sun, Yuge, 2023. "Two-stage robust unit commitment with the cascade hydropower stations retrofitted with pump stations," Applied Energy, Elsevier, vol. 334(C).
    3. Qiu, Shuo & Lei, Tian & Wu, Jiangtao & Bi, Shengshan, 2021. "Energy demand and supply planning of China through 2060," Energy, Elsevier, vol. 234(C).
    4. Kocaman, Ayse Selin & Modi, Vijay, 2017. "Value of pumped hydro storage in a hybrid energy generation and allocation system," Applied Energy, Elsevier, vol. 205(C), pages 1202-1215.
    5. Biswas, Partha P. & Suganthan, P.N. & Qu, B.Y. & Amaratunga, Gehan A.J., 2018. "Multiobjective economic-environmental power dispatch with stochastic wind-solar-small hydro power," Energy, Elsevier, vol. 150(C), pages 1039-1057.
    6. Zhang, Juntao & Cheng, Chuntian & Yu, Shen & Shen, Jianjian & Wu, Xinyu & Su, Huaying, 2022. "Preliminary feasibility analysis for remaking the function of cascade hydropower stations to enhance hydropower flexibility: A case study in China," Energy, Elsevier, vol. 260(C).
    7. Qiujie Sun & Jingyu Zhou & Zhou Lan & Xiangyang Ma, 2023. "The Economic Influence of Energy Storage Construction in the Context of New Power Systems," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
    8. Nasir, Jehanzeb & Javed, Adeel & Ali, Majid & Ullah, Kafait & Kazmi, Syed Ali Abbas, 2022. "Capacity optimization of pumped storage hydropower and its impact on an integrated conventional hydropower plant operation," Applied Energy, Elsevier, vol. 323(C).
    9. Wei, Hu & Hongxuan, Zhang & Yu, Dong & Yiting, Wang & Ling, Dong & Ming, Xiao, 2019. "Short-term optimal operation of hydro-wind-solar hybrid system with improved generative adversarial networks," Applied Energy, Elsevier, vol. 250(C), pages 389-403.
    10. Sk. A. Shezan & Innocent Kamwa & Md. Fatin Ishraque & S. M. Muyeen & Kazi Nazmul Hasan & R. Saidur & Syed Muhammad Rizvi & Md Shafiullah & Fahad A. Al-Sulaiman, 2023. "Evaluation of Different Optimization Techniques and Control Strategies of Hybrid Microgrid: A Review," Energies, MDPI, vol. 16(4), pages 1-30, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ren, Yan & Sun, Ketao & Zhang, Kai & Han, Yuping & Zhang, Haonan & Wang, Meijing & Jing, Xiang & Mo, Juhua & Zou, Wenhang & Xing, Xinyang, 2024. "Optimization of the capacity configuration of an abandoned mine pumped storage/wind/photovoltaic integrated system," Applied Energy, Elsevier, vol. 374(C).
    2. Luciano José da Silva & Virginia Parente & José Oduque Nascimento de Jesus & Karla Patricia Oliveira Esquerre & Oz Sahin & Wanderbeg Correia de Araujo, 2025. "Pumped Hydro Storage in the Brazilian Power Industry: A Sustainable Approach to Expanding Renewable Energy," Sustainability, MDPI, vol. 17(5), pages 1-24, February.

    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. Zhou, Yanlai & Ning, Zhihao & Huang, Kangkang & Guo, Shenglian & Xu, Chong-Yu & Chang, Fi-John, 2025. "Sustainable energy integration: Enhancing the complementary operation of pumped-storage power and hydropower systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 210(C).
    2. Wang, Zizhao & Li, Yang & Wu, Feng & Wu, Jiawei & Shi, Linjun & Lin, Keman, 2024. "Multi-objective day-ahead scheduling of cascade hydropower-photovoltaic complementary system with pumping installation," Energy, Elsevier, vol. 290(C).
    3. Wang, Zhenni & Tan, Qiaofeng & Wen, Xin & Su, Huaying & Fang, Guohua & Wang, Hao, 2025. "Capacity optimization of retrofitting cascade hydropower plants with pumping stations for renewable energy integration: A case study," Applied Energy, Elsevier, vol. 377(PC).
    4. Yang, Yuqi & Zhou, Jianzhong & Liu, Guangbiao & Mo, Li & Wang, Yongqiang & Jia, Benjun & He, Feifei, 2020. "Multi-plan formulation of hydropower generation considering uncertainty of wind power," Applied Energy, Elsevier, vol. 260(C).
    5. Yuan, Wenlin & Wang, Xinqi & Su, Chengguo & Cheng, Chuntian & Liu, Zhe & Wu, Zening, 2021. "Stochastic optimization model for the short-term joint operation of photovoltaic power and hydropower plants based on chance-constrained programming," Energy, Elsevier, vol. 222(C).
    6. Lai, Chunyang & Kazemtabrizi, Behzad, 2024. "A novel data-driven tighten-constraint method for wind-hydro hybrid power system to improve day-ahead plan performance in real-time operation," Applied Energy, Elsevier, vol. 371(C).
    7. Yi’an Wang & Zhe Wu & Dong Ni, 2024. "Large-Scale Optimization among Photovoltaic and Concentrated Solar Power Systems: A State-of-the-Art Review and Algorithm Analysis," Energies, MDPI, vol. 17(17), pages 1-38, August.
    8. Mahfoud, Rabea Jamil & Alkayem, Nizar Faisal & Zhang, Yuquan & Zheng, Yuan & Sun, Yonghui & Alhelou, Hassan Haes, 2023. "Optimal operation of pumped hydro storage-based energy systems: A compendium of current challenges and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    9. Liu, Mao & Kong, Xiangyu & Lian, Jijian & Wang, Jimin & Yang, Bohan, 2025. "Distributionally robust coordinated day-ahead scheduling of Cascade pumped hydro energy storage system and DC transmission," Applied Energy, Elsevier, vol. 384(C).
    10. Cheng, Wenjie & Zhao, Zhipeng & Cheng, Chuntian & Yu, Zhihui & Gao, Ying, 2024. "Optimizing peak shaving operation in hydro-dominated hybrid power systems with limited distributional information on renewable energy uncertainty," Renewable Energy, Elsevier, vol. 237(PC).
    11. Guohan Zhao & Chuanyang Yu & Haodong Huang & Yi Yu & Linfeng Zou & Li Mo, 2025. "Optimization Scheduling of Hydro–Wind–Solar Multi-Energy Complementary Systems Based on an Improved Enterprise Development Algorithm," Sustainability, MDPI, vol. 17(6), pages 1-27, March.
    12. Feng, Zhong-kai & Huang, Qing-qing & Niu, Wen-jing & Su, Hua-ying & Li, Shu-shan & Wu, Hui-jun & Wang, Jia-yang, 2024. "Peak operation optimization of cascade hydropower reservoirs and solar power plants considering output forecasting uncertainty," Applied Energy, Elsevier, vol. 358(C).
    13. Yang Li & Feng Wu & Xudong Song & Linjun Shi & Keman Lin & Feilong Hong, 2023. "Data-Driven Chance-Constrained Schedule Optimization of Cascaded Hydropower and Photovoltaic Complementary Generation Systems for Shaving Peak Loads," Sustainability, MDPI, vol. 15(24), pages 1-20, December.
    14. Qin Shen & Li Mo & Zixuan Liu & Xutong Sun & Guanjun Liu & Yongchuan Zhang, 2023. "A Multi-Objective Optimization Method of Sustainable Wind–Photovoltaic–Hydro Systems Considering Source–Grid Coordination," Sustainability, MDPI, vol. 16(1), pages 1-19, December.
    15. Guo, Yi & Ming, Bo & Huang, Qiang & Wang, Yimin & Zheng, Xudong & Zhang, Wei, 2022. "Risk-averse day-ahead generation scheduling of hydro–wind–photovoltaic complementary systems considering the steady requirement of power delivery," Applied Energy, Elsevier, vol. 309(C).
    16. 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).
    17. Fu, Yiwei & Lu, Zongxiang & Hu, Wei & Wu, Shuang & Wang, Yiting & Dong, Ling & Zhang, Jietan, 2019. "Research on joint optimal dispatching method for hybrid power system considering system security," Applied Energy, Elsevier, vol. 238(C), pages 147-163.
    18. Jurasz, Jakub & Kies, Alexander & Zajac, Pawel, 2020. "Synergetic operation of photovoltaic and hydro power stations on a day-ahead energy market," Energy, Elsevier, vol. 212(C).
    19. Wang, Jin & Zhao, Zhipeng & Zhou, Jinglin & Cheng, Chuntian & Su, Huaying, 2024. "Co-optimization for day-ahead scheduling and flexibility response mode of a hydro–wind–solar hybrid system considering forecast uncertainty of variable renewable energy," Energy, Elsevier, vol. 311(C).
    20. Yin, Linfei & Zhang, Bin, 2021. "Time series generative adversarial network controller for long-term smart generation control of microgrids," Applied Energy, Elsevier, vol. 281(C).

    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:16:y:2023:i:24:p:8049-:d:1299649. 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.