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Day-ahead dispatch approach for cascaded hydropower-photovoltaic complementary system based on two-stage robust optimization

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  • Wang, Zizhao
  • Wu, Feng
  • Li, Yang
  • Li, Jingyan
  • Liu, Ying
  • Liu, Wenge

Abstract

Cascade hydropower (CHP) is widely used to increase the integration of photovoltaic (PV) power in recent years. However, the randomness and variability of PV power output might cause power imbalances between generation plan and integrated power of complementary systems. It is crucial to provide robust day-ahead schemes to ensure sufficient adjustment capability of CHPs. In this paper, a day-ahead dispatch model is established for the CHP-PV complementary system to address the PV uncertainties based on the two-stage robust optimization approach. The uncertain PV power output is described by an ambiguity set without accurate probabilistic information. Two different stages in the dispatch model are integrated into a holistic optimization problem. In the first stage, the day-ahead startup/shutdown and operation zone schemes for CHP are determined. In the second stage, the re-dispatch problem is performed to compensate for PV power fluctuations and minimize water consumption. The nested column-and-constraint generation (NC&CG) algorithm is employed as the exact solution methodology. Simulation studies based on a system in southwest China are conducted to validate the effectiveness of the proposed dispatch model and the solution algorithm. The numerical results show that the robust solution can accommodate various scenarios of PV power output and the power imbalance can always be reduced.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:265:y:2023:i:c:s0360544222030316
    DOI: 10.1016/j.energy.2022.126145
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    References listed on IDEAS

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    1. Dujardin, Jérôme & Kahl, Annelen & Kruyt, Bert & Bartlett, Stuart & Lehning, Michael, 2017. "Interplay between photovoltaic, wind energy and storage hydropower in a fully renewable Switzerland," Energy, Elsevier, vol. 135(C), pages 513-525.
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    Cited by:

    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. Yang Li & Outing Li & Feng Wu & Shiyi Ma & Linjun Shi & Feilong Hong, 2023. "Multi-Objective Capacity Optimization of Grid-Connected Wind–Pumped Hydro Storage Hybrid Systems Considering Variable-Speed Operation," Energies, MDPI, vol. 16(24), pages 1-17, December.
    3. 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).
    4. Tan, Mao & Li, Zibin & Su, Yongxin & Ren, Yuling & Wang, Ling & Wang, Rui, 2024. "Dual time-scale robust optimization for energy management of distributed energy community considering source-load uncertainty," Renewable Energy, Elsevier, vol. 226(C).
    5. 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).
    6. 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).
    7. Qin, Peijia & Tan, Xianlin & Huang, Youbin & Pan, Mingming & Ouyang, Tiancheng, 2023. "Two-stage robust optimal scheduling framework applied for microgrids: Combined energy recovery and forecast," Renewable Energy, Elsevier, vol. 214(C), pages 290-306.

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