Control Strategy of DC-DC Converter in DC Microgrid Based on Virtual Synchronous Generator

被引：0
|
作者：
Zhu X. [1 ]
Meng F. [1 ]
Xie Z. [2 ]
机构：
[1] State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding
[2] State Grid Wenzhou Power Supply Company, Wenzhou
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2019年 / 43卷 / 21期
关键词：
Analogous virtual synchronous generator; Converter; Energy storage unit; Microgrid; Small-signal model;
D O I：
10.7500/AEPS20180730015
中图分类号：
学科分类号：
摘要：
Aiming at the problems of low inertia of DC microgrids and power fluctuation which easily effects the bus voltage, a control strategy of analogous virtual synchronous generator is proposed and applied in bi-directional DC-DC converter to strengthen the inertia of DC microgrid and suppress voltage fluctuation of DC bus. Firstly, the virtual synchronous generator control in AC microgrid is analogized to obtain the control strategy of analogous virtual synchronous which is suitable in DC microgrid. Then, the small-signal model is built to theoretically analyze the proposed strategy. The large disturbance in the beginning changes of voltage is corrected by the feedforward compensation. Furthermore, the influence of control parameters on stability after using virtual inertia is analyzed. Finally, the effectiveness of the above theoretical analysis and control strategy is verified by MATLAB/Simulink Simulations. © 2019 Automation of Electric Power Systems Press.
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页码：132 / 140
页数：8
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  • [1] Kang C., Yao L., Key scientific issues and theoretical research framework for power systems with high proportion of renewable energy, Automation of Electric Power Systems, 41, 9, pp. 2-11, (2017)
  • [2] Yao L., Zhu L., Zhou M., Et al., Prospects of coordination and optimization for power systems with high proportion of renewable energy, Automation of Electric Power Systems, 41, 9, pp. 36-43, (2017)
  • [3] Lu Z., Huang H., Shan B., Et al., Morphological evolution model and power forecasting prospect of future electric power systems with high proportion of renewable energy, Automation of Electric Power Systems, 41, 9, pp. 12-18, (2017)
  • [4] Cheng H., Li J., Wu Y., Et al., Challenges and prospects for AC/DC transmission expansion planning considering high proportion of renewable energy, Automation of Electric Power Systems, 41, 9, pp. 19-27, (2017)
  • [5] Gao P., Chen H., Zhang G., Et al., Planning of wind turbine generators for high-penetration wind power accommodation in active distribution network, Automation of Electric Power Systems, 42, 15, pp. 39-46, (2018)
  • [6] Wang H., Wang S., Pan Z., Et al., Optimized dispatching method for flexibility improvement of distribution network with high-penetration distributed generation, Automation of Electric Power Systems, 42, 15, pp. 86-93, (2018)
  • [7] Liu J., Li Y., Cao Y., Et al., Suppression method of voltage rise in medium and low distribution networks considering utilization efficiency of photovoltaic power, Automation of Electric Power Systems, 42, 15, pp. 171-177, (2018)
  • [8] Bian X., Jiang Y., Zhao Y., Et al., Coordinated frequency regulation strategy of wind, diesel and load for microgrid with high-penetration renewable energy, Automation of Electric Power Systems, 42, 15, pp. 102-109, (2018)
  • [9] Liu Z.F., Luo Y., Zhuo R.Q., Et al., Distributed reinforcement learning to coordinate current sharing and voltage restoration for islanded DC microgrid, Journal of Modern Power Systems and Clean Energy, 6, 2, pp. 364-374, (2018)
  • [10] Wang P.B., Wang W., Meng N.N., Et al., Multi-objective energy management system for DC microgrids based on the maximum membership degree principle, Journal of Modern Power Systems and Clean Energy, 6, 4, pp. 668-678, (2018)
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