IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v377y2025ipas0306261924017434.html
   My bibliography  Save this article

Optimal scheduling of a cascade hydro-thermal-wind power system integrating data centers and considering the spatiotemporal asynchronous transfer of energy resources

Author

Listed:
  • Su, Chengguo
  • Wang, Lingshuang
  • Sui, Quan
  • Wu, Huijun

Abstract

The cooperative power generation of cascade hydropower stations and balanced power consumption of data centers can promote power flow optimization. However, the asynchrony of the water flow and the spatiotemporal transfer time of data loads brings great challenges to the power system. To address this problem, a power system scheduling strategy which considers the spatiotemporal asynchronous transfer characteristics of multivariate energy is proposed in this paper. Firstly, an operational model of a cascade hydropower station is established which considers the demand of sand flushing and navigation. Secondly, a collaborative scheduling method with multiple data centers is designed which considers the spatiotemporal transfer of data loads, and a reserve model with a cascade effect is constructed which is controllable through data centers. Furthermore, an optimal operational model of a cascade hydro-thermal-wind power system is established which considers data centers participating in scheduling and aims to minimize the operational cost of the power system while meeting the power load. Additionally, the optimization model is converted into a standard mixed-integer linearization programming (MILP) problem using a linearization technique. The IEEE-RTS79 system simulation results show that the operational cost of the power system is reduced by 16.14 %.

Suggested Citation

  • Su, Chengguo & Wang, Lingshuang & Sui, Quan & Wu, Huijun, 2025. "Optimal scheduling of a cascade hydro-thermal-wind power system integrating data centers and considering the spatiotemporal asynchronous transfer of energy resources," Applied Energy, Elsevier, vol. 377(PA).
    • Handle: RePEc:eee:appene:v:377:y:2025:i:pa:s0306261924017434
    DOI: 10.1016/j.apenergy.2024.124360
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924017434
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2024.124360?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Shi, Yunhong & Wang, Honglei & Li, Chengjiang & Negnevitsky, Michael & Wang, Xiaolin, 2024. "Stochastic optimization of system configurations and operation of hybrid cascade hydro-wind-photovoltaic with battery for uncertain medium- and long-term load growth," Applied Energy, Elsevier, vol. 364(C).
    2. Wang, Jiangjiang & Huo, Shuojie & Yan, Rujing & Cui, Zhiheng, 2022. "Leveraging heat accumulation of district heating network to improve performances of integrated energy system under source-load uncertainties," Energy, Elsevier, vol. 252(C).
    3. Wang, Zizhao & Wu, Feng & Li, Yang & Li, Jingyan & Liu, Ying & Liu, Wenge, 2023. "Day-ahead dispatch approach for cascaded hydropower-photovoltaic complementary system based on two-stage robust optimization," Energy, Elsevier, vol. 265(C).
    4. Cao, Yujie & Cheng, Ming & Zhang, Sufang & Mao, Hongju & Wang, Peng & Li, Chao & Feng, Yihui & Ding, Zhaohao, 2022. "Data-driven flexibility assessment for internet data center towards periodic batch workloads," Applied Energy, Elsevier, vol. 324(C).
    5. Huang, Kangdi & Liu, Pan & Ming, Bo & Kim, Jong-Suk & Gong, Yu, 2021. "Economic operation of a wind-solar-hydro complementary system considering risks of output shortage, power curtailment and spilled water," Applied Energy, Elsevier, vol. 290(C).
    6. Liu, Benxi & Liu, Tengyuan & Liao, Shengli & Lu, Jia & Cheng, Chuntian, 2023. "Short-term coordinated hybrid hydro-wind-solar optimal scheduling model considering multistage section restrictions," Renewable Energy, Elsevier, vol. 217(C).
    7. Lu, Na & Wang, Guangyan & Su, Chengguo & Ren, Zaimin & Peng, Xiaoyue & Sui, Quan, 2024. "Medium- and long-term interval optimal scheduling of cascade hydropower-photovoltaic complementary systems considering multiple uncertainties," Applied Energy, Elsevier, vol. 353(PA).
    8. Yin, Yue & Liu, Tianqi & He, Chuan, 2019. "Day-ahead stochastic coordinated scheduling for thermal-hydro-wind-photovoltaic systems," Energy, Elsevier, vol. 187(C).
    9. Wang, Fengjuan & Xu, Jiuping & Wang, Qingchun, 2024. "Complementary operation based sizing and scheduling strategy for hybrid hydro-PV-wind generation systems connected to long-distance transmission lines," Applied Energy, Elsevier, vol. 364(C).
    10. Wang, Jiangjiang & Deng, Hongda & Liu, Yi & Guo, Zeqing & Wang, Yongzhen, 2023. "Coordinated optimal scheduling of integrated energy system for data center based on computing load shifting," Energy, Elsevier, vol. 267(C).
    11. Cheng, Chuntian & Su, Chengguo & Wang, Peilin & Shen, Jianjian & Lu, Jianyu & Wu, Xinyu, 2018. "An MILP-based model for short-term peak shaving operation of pumped-storage hydropower plants serving multiple power grids," Energy, Elsevier, vol. 163(C), pages 722-733.
    12. Harker Steele, Amanda J. & Burnett, J. Wesley & Bergstrom, John C., 2021. "The impact of variable renewable energy resources on power system reliability," Energy Policy, Elsevier, vol. 151(C).
    13. Bayón, L. & Grau, J.M. & Ruiz, M.M. & Suárez, P.M., 2016. "A comparative economic study of two configurations of hydro-wind power plants," Energy, Elsevier, vol. 112(C), pages 8-16.
    14. Jia, Rui & He, Mengjiao & Zhang, Xinyu & Zhao, Ziwen & Han, Shuo & Jurasz, Jakub & Chen, Diyi & Xu, Beibei, 2022. "Optimal operation of cascade hydro-wind-photovoltaic complementary generation system with vibration avoidance strategy," Applied Energy, Elsevier, vol. 324(C).
    15. Tan, Qiaofeng & Zhang, Ziyi & Wen, Xin & Fang, Guohua & Xu, Shuo & Nie, Zhuang & Wang, Yanling, 2024. "Risk control of hydropower-photovoltaic multi-energy complementary scheduling based on energy storage allocation," Applied Energy, Elsevier, vol. 358(C).
    16. Zhang, Yusheng & Ma, Chao & Yang, Yang & Pang, Xiulan & Liu, Lu & Lian, Jijian, 2021. "Study on short-term optimal operation of cascade hydro-photovoltaic hybrid systems," Applied Energy, Elsevier, vol. 291(C).
    17. Ding, Ziyu & Fang, Guohua & Wen, Xin & Tan, Qiaofeng & Mao, Yingchi & Zhang, Yu, 2024. "Long-term operation rules of a hydro–wind–photovoltaic hybrid system considering forecast information," Energy, Elsevier, vol. 288(C).
    18. 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).
    19. Khare, Vikas & Nema, Savita & Baredar, Prashant, 2016. "Solar–wind hybrid renewable energy system: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 23-33.
    20. Liu, Weifeng & Zhu, Feilin & Zhao, Tongtiegang & Wang, Hao & Lei, Xiaohui & Zhong, Ping-an & Fthenakis, Vasilis, 2020. "Optimal stochastic scheduling of hydropower-based compensation for combined wind and photovoltaic power outputs," Applied Energy, Elsevier, vol. 276(C).
    21. Su, Chengguo & Cheng, Chuntian & Wang, Peilin & Shen, Jianjian & Wu, Xinyu, 2019. "Optimization model for long-distance integrated transmission of wind farms and pumped-storage hydropower plants," Applied Energy, Elsevier, vol. 242(C), pages 285-293.
    22. Maria Fotopoulou & Panagiotis Pediaditis & Niki Skopetou & Dimitrios Rakopoulos & Sotirios Christopoulos & Avraam Kartalidis, 2024. "A Review of the Energy Storage Systems of Non-Interconnected European Islands," Sustainability, MDPI, vol. 16(4), pages 1-24, February.
    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. Shi, Yunhong & Wang, Honglei & Li, Chengjiang & Negnevitsky, Michael & Wang, Xiaolin, 2024. "Stochastic optimization of system configurations and operation of hybrid cascade hydro-wind-photovoltaic with battery for uncertain medium- and long-term load growth," Applied Energy, Elsevier, vol. 364(C).
    2. Lu, Na & Wang, Guangyan & Su, Chengguo & Ren, Zaimin & Peng, Xiaoyue & Sui, Quan, 2024. "Medium- and long-term interval optimal scheduling of cascade hydropower-photovoltaic complementary systems considering multiple uncertainties," Applied Energy, Elsevier, vol. 353(PA).
    3. He, Mengjiao & Han, Shuo & Chen, Diyi & Zhao, Ziwen & Jurasz, Jakub & Mahmud, Md Apel & Liu, Pan & Deng, Mingjiang, 2024. "Optimizing cascade Hydropower-VRE hybrid systems: A novel approach addressing whole-process vibration to enhance operational safety," Energy, Elsevier, vol. 304(C).
    4. 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).
    5. Guo, Yi & Ming, Bo & Huang, Qiang & Liu, Pan & Wang, Yimin & Fang, Wei & Zhang, Wei, 2022. "Evaluating effects of battery storage on day-ahead generation scheduling of large hydro–wind–photovoltaic complementary systems," Applied Energy, Elsevier, vol. 324(C).
    6. Zhao, Hongye & Liao, Shengli & Ma, Xiangyu & Fang, Zhou & Cheng, Chuntian & Zhang, Zheng, 2024. "Short-term peak-shaving scheduling of a hydropower-dominated hydro-wind-solar photovoltaic hybrid system considering a shared multienergy coupling transmission channel," Applied Energy, Elsevier, vol. 372(C).
    7. Chaoyang Chen & Hualing Liu & Yong Xiao & Fagen Zhu & Li Ding & Fuwen Yang, 2022. "Power Generation Scheduling for a Hydro-Wind-Solar Hybrid System: A Systematic Survey and Prospect," Energies, MDPI, vol. 15(22), pages 1-31, November.
    8. Cheng, Qian & Liu, Pan & Xia, Qian & Cheng, Lei & Ming, Bo & Zhang, Wei & Xu, Weifeng & Zheng, Yalian & Han, Dongyang & Xia, Jun, 2023. "An analytical method to evaluate curtailment of hydro–photovoltaic hybrid energy systems and its implication under climate change," Energy, Elsevier, vol. 278(C).
    9. Cheng, Qian & Liu, Pan & Feng, Maoyuan & Cheng, Lei & Ming, Bo & Luo, Xinran & Liu, Weibo & Xu, Weifeng & Huang, Kangdi & Xia, Jun, 2023. "Complementary operation with wind and photovoltaic power induces the decrease in hydropower efficiency," Applied Energy, Elsevier, vol. 339(C).
    10. Ma, Chao & Xu, Ximeng & Pang, Xiulan & Li, Xiaofeng & Zhang, Pengfei & Liu, Lu, 2024. "Scenario-based ultra-short-term rolling optimal operation of a photovoltaic-energy storage system under forecast uncertainty," Applied Energy, Elsevier, vol. 356(C).
    11. 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).
    12. Han, Shuo & Yuan, Yifan & He, Mengjiao & Zhao, Ziwen & Xu, Beibei & Chen, Diyi & Jurasz, Jakub, 2024. "A novel day-ahead scheduling model to unlock hydropower flexibility limited by vibration zones in hydropower-variable renewable energy hybrid system," Applied Energy, Elsevier, vol. 356(C).
    13. Li, Xudong & Yang, Weijia & Liao, Yiwen & Zhang, Shushu & Zheng, Yang & Zhao, Zhigao & Tang, Maojia & Cheng, Yongguang & Liu, Pan, 2024. "Short-term risk-management for hydro-wind-solar hybrid energy system considering hydropower part-load operating characteristics," Applied Energy, Elsevier, vol. 360(C).
    14. Zhang, Juntao & Cheng, Chuntian & Yu, Shen & Su, Huaying, 2022. "Chance-constrained co-optimization for day-ahead generation and reserve scheduling of cascade hydropower–variable renewable energy hybrid systems," Applied Energy, Elsevier, vol. 324(C).
    15. Wang, Kaiyan & Zhu, Hengtao & Dang, Jian & Ming, Bo & Wu, Xiong, 2024. "Short-term optimal scheduling of wind-photovoltaic-hydropower-thermal-pumped hydro storage coupled system based on a novel multi-objective priority stratification method," Energy, Elsevier, vol. 309(C).
    16. 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).
    17. 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).
    18. Ma, Chao & Liu, Lu, 2022. "Optimal capacity configuration of hydro-wind-PV hybrid system and its coordinative operation rules considering the UHV transmission and reservoir operation requirements," Renewable Energy, Elsevier, vol. 198(C), pages 637-653.
    19. Lv, Mingyang & Gou, Kaijie & Chen, Heng & Lei, Jing & Zhang, Guoqiang & Liu, Tao, 2024. "Optimal Design of Wind-Solar complementary power generation systems considering the maximum capacity of renewable energy," Energy, Elsevier, vol. 312(C).
    20. 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).

    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:eee:appene:v:377:y:2025:i:pa:s0306261924017434. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.