储能科学与技术 ›› 2023, Vol. 12 ›› Issue (3): 846-856.doi: 10.19799/j.cnki.2095-4239.2022.0726

• 储能系统与工程 • 上一篇    下一篇

计及多时间尺度不确定性的电-氢一体化储能站随机-鲁棒混合规划

倪鸾(), 王育飞, 薛花, 于艾清   

  1. 上海电力大学电气工程学院,上海 200090
  • 收稿日期:2022-12-05 修回日期:2022-12-19 出版日期:2023-03-05 发布日期:2023-04-14
  • 通讯作者: 倪鸾 E-mail:niluan_1@163.com
  • 作者简介:倪鸾(1998—),男,硕士研究生,研究方向为氢储能技术在电力系统中应用,E-mail:niluan_1@163.com
  • 基金资助:
    上海市科委地方能力建设计划(22010501400)

Hybrid stochastic-robust planning of an electricity-hydrogen integrated energy storage station considering multi-timescale uncertainty

Luan NI(), Yufei WANG, Hua XUE, Aiqing YU   

  1. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
  • Received:2022-12-05 Revised:2022-12-19 Online:2023-03-05 Published:2023-04-14
  • Contact: Luan NI E-mail:niluan_1@163.com

摘要:

考虑源-荷双侧长期不确定性对电-氢一体化储能站规划结果鲁棒性的影响,提出一种计及多时间尺度不确定性的储能站容量规划方法。首先,构建电-氢混合系统结构,并设计储能站主要运行模式;其次,考虑风、光、电、氢的时序相关性,提取考虑短期不确定性的源-荷双侧的时序典型场景,以年综合成本最小为目标,建立基于多场景随机优化的储能站容量规划模型;然后,进一步考虑长期不确定性,基于信息间隙决策理论对规划模型进行改进,提出考虑长-短期不确定性的储能站随机-鲁棒混合规划方法;最后,基于某风光电场历史数据进行仿真验证,并对缺能惩罚成本系数和氢气价格等关键因素进行灵敏度分析。仿真结果表明,所提方法可合理规划电-氢一体化储能站容量,提高电-氢混合系统的风险规避能力。

关键词: 电-氢一体化储能站, 容量规划, 多时间尺度, 不确定性, 随机-鲁棒混合规划

Abstract:

Considering the impact of long-term uncertainty of supply and load on the robustness of the planning results of an electricity-hydrogen integrated energy storage station, a capacity planning method considering the uncertainty of multiple time scales is proposed. First, the structure of the hybrid electricity-hydrogen system is constructed, and the main operating modes of the energy storage station are designed. Second, taking into account the temporal correlation of wind, photovoltaic, electricity and hydrogen, the typical temporal scenarios of both source and load sides considering short-term uncertainty are extracted. Also, the capacity planning model of the energy storage station based on multi-scenario stochastic optimization is established to minimize the comprehensive annual cost. Then, further considering the long-term uncertainty, the planning model is improved based on the information gap decision theory. A stochastic robust hybrid planning method for energy storage stations is proposed considering long- and short-term uncertainties. Finally, the simulation is performed based on historical data of wind and photovoltaic power stations. Sensitivity analyses of critical factors, such as the energy shortage penalty cost coefficient and hydrogen price, are performed. The simulation results demonstrate that the proposed method can plan reasonably the capacity of the electric-hydrogen integrated energy storage station and improve the risk aversion ability of the hybrid electric-hydrogen system.

Key words: electric-hydrogen integrated energy storage station, capacity planning, multi-timescale, uncertainty, stochastic-robust mixed planning

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