Stability Analysis of DC MicrogridWith Virtual Inertia Control

被引:0
作者
Zhu X. [1 ]
Meng F. [1 ]
机构
[1] State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources, North China Electric Power University, Baoding, 071003, Hebei Province
来源
Dianwang Jishu/Power System Technology | 2020年 / 44卷 / 01期
关键词
DC microgrid; Small signal model; Stability; Virtual inertia control;
D O I
10.13335/j.1000-3673.pst.2019.0786
中图分类号
学科分类号
摘要
In order to explore the impact of different types of virtual inertia controls on DC microgrid stability, small signal models of converters in power source side and load side are established firstly in this paper. The dynamic response and impedance characteristics of the grid-side and the battery-side interfaced converters are analyzed respectively, when different virtual inertia control strategies are adopted. Considering the stability issues caused by multi-converter interaction, an equivalent impedance model of DC microgrid is built. Then, based on impedance matching principle, the influence of virtual inertia controller parameters and system parameters on system stability is analyzed for different control modes. According to stability analysis results, it is concluded that a better dynamic characteristic and stability margin can be obtained when the virtual generator type inertial control is applied to battery side converter. Finally, a DC microgrid simulation model is established on Matlab Simulink and RT-LAB real time simulation platform respectively, and relevant theoretical analysis is verified. © 2020, Power System Technology Press. All right reserved.
引用
收藏
页码:208 / 216
页数:8
相关论文
共 18 条
[1]  
Dragicevic T., Lu X., Vasquez J.C., Et al., DC microgrids-part I: a review of control strategies and stabilization techniques, IEEE Transactions on Power Electronics, 31, 7, pp. 4876-4891, (2016)
[2]  
Wang C., Li W., Wang Y., Et al., DC bus voltage fluctuation classification and restraint methods review for DC microgrid, Proceedings of the CSEE, 37, 1, pp. 84-98, (2017)
[3]  
Li X., Guo L., Wang C., Et al., Key technologies of DC microgrids: an overview, Proceedings of the CSEE, 36, 1, pp. 2-17, (2016)
[4]  
Wan Q., Xia C., Guan L., Et al., Review on stability of isolated microgrid with highly penetrated distributed generations, Power System Technology, 43, 2, pp. 598-612, (2019)
[5]  
Unamuno E., Barrena J.A., Design and small-signal stability analysis of a virtual-capacitor control for DC microgrids, 19th European Conference on Power Electronics and Applications, pp. 1-10, (2017)
[6]  
Hosseinipour A., Hojabri H., Virtual inertia control of PV systems for dynamic performance and damping enhancement of DC microgrids with constant power loads, IET Renewable Power Generation, 12, 4, pp. 430-438, (2018)
[7]  
Zhu X., Cai J., Wang Y., Et al., Virtual inertia control of wind-battery-based DC micro-grid, Proceedings of the CSEE, 36, 1, pp. 49-58, (2016)
[8]  
Zhu X., Xie Z., Jing S., Virtual inertia control and stability analysis of DC micro-grid, Power System Technology, 41, 12, pp. 3884-3891, (2017)
[9]  
Wang Y., Hei Y., Fu Y., Et al., Adaptive virtual inertia control of dc distribution network based on variable droop coefficient, Automation of Electric PowerSystems, 30, 8, pp. 116-124, (2017)
[10]  
Wang Y., Wang C., Xu L., Et al., Adjustable inertial response from the converter with adaptive droop control in DC grids, IEEE Transactions on Smart Grid, 10, 3, pp. 3198-3209, (2019)