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100% renewable energy: A multi-stage robust scheduling approach for cascade hydropower system with wind and photovoltaic power

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  • Zhou, Yuzhou
  • Zhao, Jiexing
  • Zhai, Qiaozhu

Abstract

This paper explores a new multi-stage robust scheduling method for cascade hydropower system considering nonanticipativity. In the existing scheduling methods, the nonanticipativity and robustness of solutions are not considered simultaneously, which may result in infeasibility in the actual operation of energy system. And, due to concerns about operation security, the available reserve of the hydropower system are not fully utilized. To this end, this paper proposes a novel multi-stage robust scheduling method for cascade hydropower system to guarantee the feasibility of scheduling solutions and increase the utilization of hydropower reserves. Specifically, first, an important proposition is presented to accurately describe the relationship between the hydropower output and the operation security of electricity system, indeed, the nonanticipativity and robustness are considered against the uncertainties of loads and renewable outputs. Second, based on this proposition, a pre-scheduling model of cascade hydropower is established to ensure the security of the whole energy system against the uncertainties of natural inflows. Last, within the safe ranges, a real-time economic dispatch model is solved to obtain final scheduling decisions that guarantee both operation security and economy of energy system. Numerical tests implemented on a real energy system verify the effectiveness of proposed method.

Suggested Citation

  • Zhou, Yuzhou & Zhao, Jiexing & Zhai, Qiaozhu, 2021. "100% renewable energy: A multi-stage robust scheduling approach for cascade hydropower system with wind and photovoltaic power," Applied Energy, Elsevier, vol. 301(C).
  • Handle: RePEc:eee:appene:v:301:y:2021:i:c:s030626192100831x
    DOI: 10.1016/j.apenergy.2021.117441
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    Cited by:

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    4. 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).
    5. Han, Fengwu & Zeng, Jianfeng & Lin, Junjie & Gao, Chong, 2023. "Multi-stage distributionally robust optimization for hybrid energy storage in regional integrated energy system considering robustness and nonanticipativity," Energy, Elsevier, vol. 277(C).
    6. Xiong, Houbo & Yan, Mingyu & Guo, Chuangxin & Ding, Yi & Zhou, Yue, 2023. "DP based multi-stage ARO for coordinated scheduling of CSP and wind energy with tractable storage scheme: Tight formulation and solution technique," Applied Energy, Elsevier, vol. 333(C).
    7. Bin Xiao & Zhenxin Gao & Huaiwu Peng & Kang Chen & Yang Li & Kun Liu, 2023. "Robust Optimization of Large-Scale Wind–Solar Storage Renewable Energy Systems Considering Hybrid Storage Multi-Energy Synergy," Sustainability, MDPI, vol. 16(1), pages 1-21, December.
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    9. Qin, Yuxiao & Liu, Pei & Li, Zheng, 2022. "Multi-timescale hierarchical scheduling of an integrated energy system considering system inertia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
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