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Evaluating the flexibility supply and demand reliability of hydro–wind–PV–battery complementary systems under different consumption modes

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  • Guo, Yi
  • Ming, Bo
  • Huang, Qiang
  • Jiang, Jianhua
  • Yu, Miao
  • San, Meiying
  • Cheng, Long
  • Jia, Rong

Abstract

Evaluating the flexibility supply and demand reliability offers a new approach for configuring the capacity of hydro–wind–PV (HWP) or hydro–wind–PV–battery (HWPB) complementary systems. However, traditional flexibility evaluations ignore the operational characteristics of the complementary systems, and tend to underestimate the wind and PV flexibility demand in the case of cross-regional power delivery. To this end, we propose an approach for evaluating the flexibility supply and demand reliability in HWP/HWPB complementary systems under different consumption modes (i.e., external delivery consumption and local consumption). First, a novel flexibility demand optimization model is established by redefining the flexibility demand based on the day-ahead scheduling process of the system. The flexibility supply guaranteed rate of HWP/HWPB complementary systems is then calculated using a statistical model. Finally, the effectiveness of the proposed approach is verified under different wind and PV capacity configuration schemes, and the optimal capacity ratios of wind and PV are determined under different consumption modes. Results using a clean energy base in the upper Yellow River basin indicate that: (1) Stronger peak-shaving performance of the system produces higher wind and PV flexibility demand. On average, the flexibility demand under external delivery consumption is 33.7 % higher than that under local consumption. (2) Improving the system's flexibility can effectively enhance the flexibility supply guaranteed rate when the original guaranteed rate is less than 95 %. If the flexibility supply guaranteed rate is greater than 95 %, further increasing the flexibility of the system has little effect. (3) For the clean energy base in the upper Yellow River basin, appropriately increasing the proportion of wind power in the current system is beneficial for the operation of complementary systems. Generally, the proposed flexibility evaluation approach provides effective guidance for the planning and management of watershed-type HWP/HWPB complementary energy bases.

Suggested Citation

  • Guo, Yi & Ming, Bo & Huang, Qiang & Jiang, Jianhua & Yu, Miao & San, Meiying & Cheng, Long & Jia, Rong, 2025. "Evaluating the flexibility supply and demand reliability of hydro–wind–PV–battery complementary systems under different consumption modes," Applied Energy, Elsevier, vol. 379(C).
    • Handle: RePEc:eee:appene:v:379:y:2025:i:c:s0306261924023560
    DOI: 10.1016/j.apenergy.2024.124972
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    as
    1. 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.
    2. William A. Braff & Joshua M. Mueller & Jessika E. Trancik, 2016. "Value of storage technologies for wind and solar energy," Nature Climate Change, Nature, vol. 6(10), pages 964-969, October.
    3. Jurasz, Jakub & Beluco, Alexandre & Canales, Fausto A., 2018. "The impact of complementarity on power supply reliability of small scale hybrid energy systems," Energy, Elsevier, vol. 161(C), pages 737-743.
    4. Lai, Wenzhe & Zhen, Zhao & Wang, Fei & Fu, Wenjie & Wang, Junlong & Zhang, Xudong & Ren, Hui, 2024. "Sub-region division based short-term regional distributed PV power forecasting method considering spatio-temporal correlations," Energy, Elsevier, vol. 288(C).
    5. Han, Shuo & He, Mengjiao & Zhao, Ziwen & Chen, Diyi & Xu, Beibei & Jurasz, Jakub & Liu, Fusheng & Zheng, Hongxi, 2023. "Overcoming the uncertainty and volatility of wind power: Day-ahead scheduling of hydro-wind hybrid power generation system by coordinating power regulation and frequency response flexibility," Applied Energy, Elsevier, vol. 333(C).
    6. Li, Hengyi & Qin, Boyu & Wang, Shihan & Ding, Tao & Liu, Jialing & Wang, Hongzhen, 2025. "Aggregate power flexibility of multi-energy systems supported by dynamic networks," Applied Energy, Elsevier, vol. 377(PB).
    7. Zhang, Juntao & Cheng, Chuntian & Yu, Shen & Wu, Huijun & Gao, Mengping, 2021. "Sharing hydropower flexibility in interconnected power systems: A case study for the China Southern power grid," Applied Energy, Elsevier, vol. 288(C).
    8. Zhao, Mingzhe & Wang, Yimin & Wang, Xuebin & Chang, Jianxia & Chen, Yunhua & Zhou, Yong & Guo, Aijun, 2022. "Flexibility evaluation of wind-PV-hydro multi-energy complementary base considering the compensation ability of cascade hydropower stations," Applied Energy, Elsevier, vol. 315(C).
    9. 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).
    10. Lin, Boqiang & Huang, Chenchen, 2023. "Promoting variable renewable energy integration: The moderating effect of digitalization," Applied Energy, Elsevier, vol. 337(C).
    11. Aghahosseini, Arman & Solomon, A.A. & Breyer, Christian & Pregger, Thomas & Simon, Sonja & Strachan, Peter & Jäger-Waldau, Arnulf, 2023. "Energy system transition pathways to meet the global electricity demand for ambitious climate targets and cost competitiveness," Applied Energy, Elsevier, vol. 331(C).
    12. Yuan, Wenlin & Xin, Wenpeng & Su, Chengguo & Cheng, Chuntian & Yan, Denghua & Wu, Zening, 2022. "Cross-regional integrated transmission of wind power and pumped-storage hydropower considering the peak shaving demands of multiple power grids," Renewable Energy, Elsevier, vol. 190(C), pages 1112-1126.
    13. Huang, Kangdi & Luo, Peng & Liu, Pan & KIM, Jong Suk & Wang, Yintang & Xu, Weifeng & Li, He & Gong, Yu, 2022. "Improving complementarity of a hybrid renewable energy system to meet load demand by using hydropower regulation ability," Energy, Elsevier, vol. 248(C).
    14. Solomon, A.A. & Kammen, Daniel M. & Callaway, D., 2014. "The role of large-scale energy storage design and dispatch in the power grid: A study of very high grid penetration of variable renewable resources," Applied Energy, Elsevier, vol. 134(C), pages 75-89.
    15. Ming, Bo & Liu, Pan & Guo, Shenglian & Cheng, Lei & Zhou, Yanlai & Gao, Shida & Li, He, 2018. "Robust hydroelectric unit commitment considering integration of large-scale photovoltaic power: A case study in China," Applied Energy, Elsevier, vol. 228(C), pages 1341-1352.
    16. 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).
    17. Denholm, Paul & Hand, Maureen, 2011. "Grid flexibility and storage required to achieve very high penetration of variable renewable electricity," Energy Policy, Elsevier, vol. 39(3), pages 1817-1830, March.
    18. 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.
    19. Li, Pengtao & Zhou, Kaile & Lu, Xinhui & Yang, Shanlin, 2020. "A hybrid deep learning model for short-term PV power forecasting," Applied Energy, Elsevier, vol. 259(C).
    20. Zhao, Zhigao & Chen, Fei & He, Xianghui & Lan, Pengfei & Chen, Diyi & Yin, Xiuxing & Yang, Jiandong, 2024. "A universal hydraulic-mechanical diagnostic framework based on feature extraction of abnormal on-field measurements: Application in micro pumped storage system," Applied Energy, Elsevier, vol. 357(C).
    21. Hou, Qingchun & Zhang, Ning & Du, Ershun & Miao, Miao & Peng, Fei & Kang, Chongqing, 2019. "Probabilistic duck curve in high PV penetration power system: Concept, modeling, and empirical analysis in China," Applied Energy, Elsevier, vol. 242(C), pages 205-215.
    22. Wang, Qin & Wu, Hongyu & Florita, Anthony R. & Brancucci Martinez-Anido, Carlo & Hodge, Bri-Mathias, 2016. "The value of improved wind power forecasting: Grid flexibility quantification, ramp capability analysis, and impacts of electricity market operation timescales," Applied Energy, Elsevier, vol. 184(C), pages 696-713.
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