Robust Optimization Configuration for Energy Storage System Capacity Considering Uncertainty of Disturbance

被引:0
作者
Cao, Yongji [1 ,2 ]
Zhang, Hengxu [2 ]
Li, Changgang [2 ]
机构
[1] Academy of Intelligent Innovation, Shandong University, Jinan
[2] Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan
来源
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2024年 / 48卷 / 19期
基金
中国国家自然科学基金;
关键词
energy storage system; frequency dynamics; frequency regulation capability; frequency stability; robust optimization configuration; uncertainty;
D O I
10.7500/AEPS20240111001
中图分类号
学科分类号
摘要
Aiming at the problems of increasing disturbance uncertainty and insufficient active power control resources under the integration of high proportion of renewable energy, a robust optimization configuration method for energy storage system (ESS) capacity considering the uncertainty of disturbances is proposed. Firstly, based on the extended system frequency response model, the coupling relationship between ESS operation power and system frequency dynamics is extracted, and the constraints of transient frequency deviation security are constructed from the polyhedral uncertainty set of disturbance. Secondly, taking into account both the frequency stability control capability and the uncertainty of disturbances, a robust optimization model is established with the objectives of minimizing investment costs and maximizing operation benefits. Then, the linear weighted method and robust counterpart are used to transform the optimization model into a deterministic tri-level program, which is solved by using the column-and-constraint generation method, strong duality theorem, and Big-M method. Finally, the effectiveness of the proposed method is verified through case analysis. © 2024 Automation of Electric Power Systems Press. All rights reserved.
引用
收藏
页码:139 / 147
页数:8
相关论文
共 31 条
  • [11] YAN Qunmin, LIU Yuchen, DONG Xinzhou, Et al., Hybrid energy storage capacity optimization configuration for smoothing PV output based on CEEMDAN-HT [J], Power System Protection and Control, 50, 21, pp. 43-53, (2022)
  • [12] ZHANG F, MENG K,, Et al., Improved cycle control and sizing scheme for wind energy storage system based on multiobjective optimization [J], IEEE Transactions on Sustainable Energy, 8, 3, pp. 966-977, (2017)
  • [13] YAO L Z., Two-stage optimization of battery energy storage capacity to decrease wind power curtailment in grid-connected wind farms [J], IEEE Transactions on Power Systems, 33, 3, pp. 3296-3305, (2018)
  • [14] DAI Qian, WU Junling, QIN Xiaohui, Et al., Optimal configuration method of energy storage capacity for improving delivery ability of renewable energy in regional area [J], Automation of Electric Power Systems, 46, 3, pp. 67-74, (2022)
  • [15] Allocation of fast-acting energy storage systems in transmission grids with high renewable generation[J], IEEE Transactions on Sustainable Energy, 11, 3, pp. 1728-1738, (2020)
  • [16] XUE Yusheng, Space-time cooperative framework for defending blackouts:Part Ⅲ optimization and coordination of defense-lines[J], Automation of Electric Power Systems, 30, 3, pp. 1-10, (2006)
  • [17] LI Zhaowei, FANG Yongjie, LI Wei, Et al., Discussion on application of electrochemical energy storage in three defense lines of power grid frequency[J], Automation of Electric Power Systems, 44, 8, pp. 1-7, (2020)
  • [18] CAO Yongji, ZHANG Hengxu, SHI Xiaohan, Et al., Preliminary study on participation mechanism of large-scale distributed energy resource in security and stability control of large power grid[J], Automation of Electric Power Systems, 45, 18, pp. 1-8, (2021)
  • [19] XU Qingwen, CAO Yongji, ZHANG Hengxu, Et al., Preventative control method for virtual power plant considering transient frequency regulation capability [J], Automation of Electric Power Systems, 46, 18, pp. 83-89, (2022)
  • [20] ZHANG H X,, Et al., Optimal sizing of hybrid energy storage system considering power smoothing and transient frequency regulation [J], International Journal of Electrical Power & Energy Systems, 142, (2022)