IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v335y2025ics0360544225038277.html

Bidding-clearing-scheduling coordinated optimization for cascade hydro-wind-photovoltaic alliances in electricity spot markets: A multi-stage framework

Author

Listed:
  • Xiao, Yulong
  • Li, Chaoshun
  • Li, Shiqi
  • Zhu, Qiannan
  • Chang, Pengxia
  • Wu, Ting

Abstract

Variable renewable energy (VRE), represented by wind power and photovoltaic, is gradually participating in the spot market, but the uncertainty of its output leads to its weak market competitiveness. VRE jointed with cascade hydropower with flexible regulation capability is an effective solution; however, how to formulate a reasonable bidding strategy and scheduling program to increase the revenue of the alliance and simultaneously reduce the water abandonment caused by cascade hydropower's power-hydraulic mismatch is an urgent problem to be solved. To this end, this study proposes an integrated multi-stage optimization framework for bidding, clearing, and scheduling(MBCS) of cascade hydro-wind-photovoltaic alliances(CHWPA) participating in the spot market. In this framework, the load scenario generation method is used to describe the load uncertainty, estimate the clearing price, and establish an optimized bidding model based on the estimated clearing price. Then, the Shapley value method is used to distribute the alliance income after market clearing, and a redistribution model for the winning bid output is established to minimize the water abandoned. Finally, the effectiveness of the alliance bidding framework is verified through case simulations. The results show that the proposed alliance bidding framework can increase up to 118 % of VRE revenues, 56 % of hydropower plant revenues, and reduce 96 % of water abandonment compared to individual bidding.

Suggested Citation

  • Xiao, Yulong & Li, Chaoshun & Li, Shiqi & Zhu, Qiannan & Chang, Pengxia & Wu, Ting, 2025. "Bidding-clearing-scheduling coordinated optimization for cascade hydro-wind-photovoltaic alliances in electricity spot markets: A multi-stage framework," Energy, Elsevier, vol. 335(C).
    • Handle: RePEc:eee:energy:v:335:y:2025:i:c:s0360544225038277
    DOI: 10.1016/j.energy.2025.138185
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225038277
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2025.138185?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

    for a different version of it.

    References listed on IDEAS

    as
    1. 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).
    2. 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).
    3. Ma, Ying & Li, Zhen & Liu, Ruyi & Liu, Bin & Yu, Samson S. & Liao, Xiaozhong & Shi, Peng, 2025. "Data-Driven interval robust optimization method of VPP Bidding strategy in spot market under multiple uncertainties," Applied Energy, Elsevier, vol. 384(C).
    4. Varkani, Ali Karimi & Daraeepour, Ali & Monsef, Hassan, 2011. "A new self-scheduling strategy for integrated operation of wind and pumped-storage power plants in power markets," Applied Energy, Elsevier, vol. 88(12), pages 5002-5012.
    5. Wang, Xiangzhen & Li, Yapeng & Gong, Shun & Hu, Xue & Cheng, Chuntian, 2025. "An enhanced micro-PSO method to deal with asymmetric electricity markets competition within hydropower cascade," Applied Energy, Elsevier, vol. 377(PA).
    6. Wu, Xinyu & Yin, Shuai & Cheng, Chuntian & Wei, Xingchen, 2024. "Short term hydropower scheduling considering cumulative forecasting deviation of wind and photovoltaic power," Applied Energy, Elsevier, vol. 376(PA).
    7. Mei, Shufan & Tan, Qinliang & Trivedi, Anupam & Srinivasan, Dipti, 2024. "A two-step optimization model for virtual power plant participating in spot market based on energy storage power distribution considering comprehensive forecasting error of renewable energy output," Applied Energy, Elsevier, vol. 376(PB).
    8. Yuan, Wenlin & Zhang, Shijie & Su, Chengguo & Wu, Yang & Yan, Denghua & Wu, Zening, 2022. "Optimal scheduling of cascade hydropower plants in a portfolio electricity market considering the dynamic water delay," Energy, Elsevier, vol. 252(C).
    9. Zhang, Xinyue & Guo, Xiaopeng & Zhang, Xingping, 2023. "Bidding modes for renewable energy considering electricity-carbon integrated market mechanism based on multi-agent hybrid game," Energy, Elsevier, vol. 263(PA).
    10. Xiao, Yulong & Zou, Chongzhe & Dong, Mingqi & Chi, Hetian & Yan, Yulin & Jiang, Shulan, 2024. "Feasibility study: Economic and technical analysis of optimal configuration and operation of a hybrid CSP/PV/wind power cogeneration system with energy storage," Renewable Energy, Elsevier, vol. 225(C).
    11. Zhu, Yanmei & Zhou, Yerong & Tao, Xiangming & Chen, Shijun & Huang, Weibin & Ma, Guangwen, 2024. "A new clearing method for cascade hydropower spot market," Energy, Elsevier, vol. 289(C).
    12. 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).
    13. Xiao, Yulong & Zou, Chongzhe & Chi, Hetian & Fang, Rengcun, 2023. "Boosted GRU model for short-term forecasting of wind power with feature-weighted principal component analysis," Energy, Elsevier, vol. 267(C).
    14. Li, Xiao & Liu, Pan & Wang, Yibo & Yang, Zhikai & Gong, Yu & An, Rihui & Huang, Kangdi & Wen, Yan, 2022. "Derivation of operating rule curves for cascade hydropower reservoirs considering the spot market: A case study of the China's Qing River cascade-reservoir system," Renewable Energy, Elsevier, vol. 182(C), pages 1028-1038.
    15. Pousinho, H.M.I. & Silva, H. & Mendes, V.M.F. & Collares-Pereira, M. & Pereira Cabrita, C., 2014. "Self-scheduling for energy and spinning reserve of wind/CSP plants by a MILP approach," Energy, Elsevier, vol. 78(C), pages 524-534.
    16. Staffell, Iain & Pfenninger, Stefan, 2016. "Using bias-corrected reanalysis to simulate current and future wind power output," Energy, Elsevier, vol. 114(C), pages 1224-1239.
    17. Rangel, Luiz Fernando, 2008. "Competition policy and regulation in hydro-dominated electricity markets," Energy Policy, Elsevier, vol. 36(4), pages 1292-1302, April.
    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. 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).
    2. Zhao, Hongye & Liao, Shengli & Liu, Benxi & Fang, Zhou & Wang, Huan & Cheng, Chuntian & Zhao, Jin, 2025. "Multiagent optimization for short-term generation scheduling in hydropower-dominated hydro-wind-solar supply systems with spatiotemporal coupling constraints," Applied Energy, Elsevier, vol. 382(C).
    3. Wang, Xiangzhen & Li, Yapeng & Gong, Shun & Hu, Xue & Cheng, Chuntian, 2025. "An enhanced micro-PSO method to deal with asymmetric electricity markets competition within hydropower cascade," Applied Energy, Elsevier, vol. 377(PA).
    4. 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).
    5. Xu, Shitian & Liu, Pan & Li, Xiao & Cheng, Qian & Liu, Zheyuan, 2023. "Deriving long-term operating rules of the hydro-wind-PV hybrid energy system considering electricity price," Renewable Energy, Elsevier, vol. 219(P1).
    6. Li, Qiang & Dong, Fuxiang & Jiang, Bo & Liu, Jinfu & Yan, Peigang & Yu, Daren, 2026. "Risk-averse co-optimization of virtual power plants in multi-markets considering scheduling costs and uncertainties of controllable loads," Applied Energy, Elsevier, vol. 409(C).
    7. Cheng, Qian & Liu, Pan & Feng, Maoyuan & Cheng, Lei & Ming, Bo & Xie, Kang & Yang, Zhikai & Zhang, Xiaojing & Zheng, Yalian & Ye, Hao, 2025. "Leveraging a deep learning model to improve mid- and long-term operations of hydro-wind-photovoltaic complementary systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 222(C).
    8. Jing, Zhiqiang & Wang, Yimin & Chang, Jianxia & Wang, Xuebin & Guo, Aijun & Meng, Xuejiao, 2025. "Hydro-wind-PV-storage complementary operation based on a multivariate 3D power generation database considering comprehensive utilization tasks of cascade hydropower stations in the river basin," Energy, Elsevier, vol. 322(C).
    9. Zhu, Feilin & Zhao, Lingqi & Liu, Weifeng & Zhu, Ou & Hou, Tiantian & Li, Jinshu & Guo, Xuning & Zhong, Ping-an, 2025. "A stochastic optimization framework for short-term peak shaving in hydro-wind-solar hybrid renewable energy systems under source-load dual uncertainties," Applied Energy, Elsevier, vol. 400(C).
    10. Cheng, Fangjuan & Wang, Pei & Gu, Yifeng & Guo, Jiang & Zhang, Fangqing & Yuan, Fang & Hu, Chunsheng, 2025. "Coordinated scheduling of hydropower units: Risk-aware day-ahead planning and performance-driven intra-day regulation allocation," Energy, Elsevier, vol. 340(C).
    11. Liu, Guanjun & Wang, Xiaojun & Xu, Yang & Qin, Hui & Jiang, Zheng & Liu, Yaxin & Lu, Jia & Yang, Yuqi & Bao, Zhengfeng & Shen, Qin, 2026. "Long-term optimization operation of hydro-photovoltaic hybrid system considering short-term energy curtailment losses caused by transmission channel capacity limitation," Renewable Energy, Elsevier, vol. 256(PH).
    12. Lu, Yike & Guo, Aijun & Chang, Jianxia & Wang, Yimin & Wang, Xuebin & Niu, Chen & Zhang, Shikai & Xie, Zhengyi & Wang, Jiayang, 2025. "Enhancing the economic benefits of cascade hydropower stations through integrated utilization of electricity and capacity benefits," Energy, Elsevier, vol. 340(C).
    13. Cheng, Fangjuan & Wang, Pei & Gu, Yifeng & Yuan, Fang & Guo, Jiang & Zhang, Fangqing & Hu, Chunsheng, 2025. "A segmented optimization HUC model considering refined vibration zone characteristics and predictive risk control strategy," Energy, Elsevier, vol. 337(C).
    14. Fan Liu & Wentao Huang & Jingjing Ma & Jun He & Can Lv & Yukun Yang, 2025. "Optimal Economic Dispatch Strategy for Cascade Hydropower Stations Considering Electric Energy and Peak Regulation Markets," Energies, MDPI, vol. 18(7), pages 1-23, April.
    15. 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).
    16. de Guibert, Paul & Shirizadeh, Behrang & Quirion, Philippe, 2020. "Variable time-step: A method for improving computational tractability for energy system models with long-term storage," Energy, Elsevier, vol. 213(C).
    17. Marko Hočevar & Lovrenc Novak & Primož Drešar & Gašper Rak, 2022. "The Status Quo and Future of Hydropower in Slovenia," Energies, MDPI, vol. 15(19), pages 1-13, September.
    18. Lukas Kriechbaum & Philipp Gradl & Romeo Reichenhauser & Thomas Kienberger, 2020. "Modelling Grid Constraints in a Multi-Energy Municipal Energy System Using Cumulative Exergy Consumption Minimisation," Energies, MDPI, vol. 13(15), pages 1-23, July.
    19. Steinegger, Josef & Hammer, Andreas & Wallner, Stefan & Kienberger, Thomas, 2024. "Revolutionizing heat distribution: A method for harnessing industrial waste heat with supra-regional district heating networks," Applied Energy, Elsevier, vol. 372(C).
    20. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(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:eee:energy:v:335:y:2025:i:c:s0360544225038277. 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.journals.elsevier.com/energy .

    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.