Small signal analysis and dynamic modeling of a battery energy storage system in a DC microgrid

被引:0
作者
Lin, Rongrui [1 ]
Bae, Sungwoo [1 ]
机构
[1] Hanyang Univ, Dept Elect Engn, Power & Energy Syst Lab, Seoul 04763, South Korea
关键词
Battery energy storage system; DC microgrid; Dynamic modeling; Sensitivity analysis; Small signal analysis; STABILITY ANALYSIS; MANAGEMENT-SYSTEM; CHARGE ESTIMATION; VOLTAGE; STATE;
D O I
10.1016/j.ijepes.2024.110109
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
This paper presents a comprehensive small signal analysis of two types of battery energy storage systems (BESSs), including a voltage-controlled BESS (V-BESS) and a current-controlled BESS (C-BESS). This study also introduces dynamic models for integrating these two BESS configurations within a DC microgrid context. Through small signal analysis and participation factor analysis, this study investigates the interplay between the BESS and the DC microgrid and the internal interactions within the BESS. Subsequently, pivotal modeling parameters are discerned, and their impacts on system dynamics due to variations are unveiled through a sensitivity analysis. These results were verified through real-time software-in-the-loop simulations using an OPAL-RT 5707XH. Furthermore, this paper proposes dynamic models for both V-BESS and C-BESS integrated with a DC microgrid that can capture the dominant behavior of BESSs in a DC microgrid with relatively low computation demands. Potential applications of this study not only include providing a reference for modeling BESSs in a DC microgrid but also providing a guideline during the design and operation stages of a BESS in a DC microgrid. Finally, due to their modularity and scalability, the proposed dynamic models can be easily applied to the design and testing of BESS controllers.
引用
收藏
页数:15
相关论文
共 42 条
  • [1] DC microgrid small-signal stability and control: Sufficient stability criterion and stabilizer design
    Adly, Moustafa
    Strunz, Kai
    [J]. SUSTAINABLE ENERGY GRIDS & NETWORKS, 2021, 26
  • [2] Energy management in DC microgrid with an efficient voltage compensation mechanism
    Alam, Md. Shafiul
    Al-Ismail, Fahad Saleh
    Al-Sulaiman, Fahad A.
    Abido, Mohammad. A.
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2023, 214
  • [3] Reduced-Order Model and Stability Analysis of Low-Voltage DC Microgrid
    Anand, Sandeep
    Fernandes, B. G.
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2013, 60 (11) : 5040 - 5049
  • [4] [Anonymous], 2019, Power Syst. Model. Comput. Control, P149, DOI [10.1002/9781119546924.ch6, DOI 10.1002/9781119546924.CH6]
  • [5] A comprehensive review on DC Microgrid protection schemes
    Baidya, Sanghita
    Nandi, Champa
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2022, 210
  • [6] Stability Analysis of Converter-Connected Battery Energy Storage Systems in the Grid
    Bazargan, Damon
    Filizadeh, Shaahin
    Gole, Ani M.
    [J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2014, 5 (04) : 1204 - 1212
  • [7] Modeling of Li-ion battery energy storage systems (BESSs) for grid fault analysis
    Berger, Maxime
    Kocar, Ilhan
    Farantatos, Evangelos
    Haddadi, Aboutaleb
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2021, 196
  • [8] Fuzzy Logic Control of the Ultracapacitor Interface for Enhanced Transient Response and Voltage Stability of a DC Microgrid
    Bhosale, Ramchandra
    Agarwal, Vivek
    [J]. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2019, 55 (01) : 712 - 720
  • [9] Dynamic Modeling of Battery Energy Storage and Applications in Transmission Systems
    Calero, Fabian
    Canizares, Claudio A.
    Bhattacharya, Kankar
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2021, 12 (01) : 589 - 598
  • [10] Accurate electrical battery model capable of predicting, runtime and I-V performance
    Chen, Min
    Rincon-Mora, Gabriel A.
    [J]. IEEE TRANSACTIONS ON ENERGY CONVERSION, 2006, 21 (02) : 504 - 511