Real-Time Distributed Control of Battery Energy Storage Systems for Security Constrained DC-OPF

被引:26
|
作者
Xu, Yinliang [1 ]
Hu, Jiefeng [2 ,3 ]
Gu, Wei [4 ]
Su, Wencong [5 ]
Liu, Wenxin [6 ]
机构
[1] Sun Yat Sen Univ, SYSU CMU Joint Inst Engn, SYSU CMU Shunde Int Joint Res Inst, Sch Elect & Informat Technol, Guangzhou 510006, Guangdong, Peoples R China
[2] Sun Yat Sen Univ, Sch Elect & Informat Technol, Guangzhou 510006, Guangdong, Peoples R China
[3] Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China
[4] Southeast Univ, Sch Elect Engn, Nanjing 210096, Jiangsu, Peoples R China
[5] Univ Michigan, Dept Elect & Comp Engn, Coll Engn & Comp Sci, Dearborn, MI 48128 USA
[6] Lehigh Univ, Dept Elect & Comp Engn, Bethlehem, PA 18015 USA
基金
中国国家自然科学基金;
关键词
Distributed control algorithm; real-time implementation; security-constrained; battery energy storage; DC optimal power flow; OPTIMAL POWER-FLOW; FREQUENCY REGULATION; OPTIMIZATION; SUBJECT; DEMAND; SCOPF;
D O I
10.1109/TSG.2016.2593911
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The introduction of fast-response battery energy storage system (BESS) provides a number of advantages to address the new challenges of smart grids, including improving the reliability and security of the power grids. This paper proposes a real-time distributed control algorithm to the corrective security-constrained DC optimal power flow problem for transmission network. The objective is to minimize the adjustment of the BESSs, while maintaining the supply-demand balance and ensuring no security constraint violations in the post-contingency state for the short-term period. Comparing to the conventional centralized methods, only simple local computation and information exchange with neighbors are required to update the local control signal, which leads to fast response of the BESSs to alleviate the impact of the transmission line outage. Real-time simulation results of the modified 6-bus and 24-bus systems demonstrate that the dynamic performances of proposed distributed algorithm satisfy standard requirements and indicate its applicability for practical power grid.
引用
收藏
页码:1580 / 1589
页数:10
相关论文
共 50 条
  • [11] Dimensioning battery energy storage systems for peak shaving based on a real-time control algorithm
    Lange, Christopher
    Ruess, Alexandra
    Nuss, Andreas
    Oechsner, Richard
    Maerz, Martin
    [J]. APPLIED ENERGY, 2020, 280 (280)
  • [12] Prescribed-Time Control for DC Microgrids With Battery Energy Storage Systems
    Wu, Han
    Chai, Li
    Zhu, Zhen-Hua
    Tian, Yu-Chu
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024, : 11896 - 11907
  • [13] Design of cost functions for the real-time control of microgrids hosting distributed energy-storage systems
    Grammatikos, Plouton
    Paolone, Mario
    Le Boudec, Jean-Yves
    [J]. SUSTAINABLE ENERGY GRIDS & NETWORKS, 2023, 35
  • [14] A real-time energy management control strategy for battery and supercapacitor hybrid energy storage systems of pure electric vehicles
    Zhang, Qiao
    Wang, Lijia
    Li, Gang
    Liu, Yan
    [J]. JOURNAL OF ENERGY STORAGE, 2020, 31
  • [15] Hierarchical Control of Distributed Battery Energy Storage System in a DC Microgrid
    Zhang, Jing
    Csank, Jeffrey T.
    Soeder, James F.
    [J]. 2021 IEEE FOURTH INTERNATIONAL CONFERENCE ON DC MICROGRIDS (ICDCM), 2021,
  • [16] A novel peak load shaving algorithm via real-time battery scheduling for residential distributed energy storage systems
    Barzkar, Arash
    Hosseini, Seyed Mohammad Hassan
    [J]. INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2018, 42 (07) : 2400 - 2416
  • [17] Rolling-horizon scheduling for energy constrained distributed real-time embedded systems
    He, Chuan
    Zhu, Xiaomin
    Guo, Hui
    Qiu, Dishan
    Jiang, Jianqing
    [J]. JOURNAL OF SYSTEMS AND SOFTWARE, 2012, 85 (04) : 780 - 794
  • [18] Development of a Real-Time Testing Environment for Battery Energy Storage Systems in Renewable Energy Applications
    Hill, Cody
    Chen, Dongmei
    [J]. 2011 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2011,
  • [19] Real-Time Control of Distributed Energy Resources
    Zhu, Y.
    Tomsovic, K.
    [J]. IEEE POWER AND ENERGY SOCIETY GENERAL MEETING 2010, 2010,
  • [20] A taxonomy of distributed real-time control systems
    Agre, JR
    Clare, LP
    Sastry, S
    [J]. ADVANCES IN COMPUTERS, VOL 49, 1999, 49 : 303 - 352