Optimal control technology of storage load virtual DC machine in DC microgrid

被引：0
|
作者：
Fu Y. [1 ]
Liu C. [1 ]
Wang Y. [1 ]
Zhang X. [1 ]
Zhao X. [1 ]
Zhen D. [1 ]
机构：
[1] State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2023年 / 43卷 / 04期
基金：
中国国家自然科学基金;
关键词：
bidirectional DC／DC converter; damping control; DC microgrid; inertial control; virtual DC machine;
D O I：
10.16081/j.epae.202209023
中图分类号：
学科分类号：
摘要：
In order to improve the voltage inertia and damping support ability of virtual direct current machine(VDCM) control to DC microgrid and improve the voltage response at load side, an optimal control technology of storage load VDCM control is proposed. The VDCM dynamic models at energy storage side and load side are established by analogy with the external characteristics of DC machine. The proposed VDCM is improved to provide inertial support for the system at the energy storage side and damping control at the load side, so as to eliminate the conflict between voltage inertia and damping in the VDCM at the energy storage side and provide sufficient dynamic support for the system bus. On this basis, the load side inertia sensitivity control link is designed, so that the storage load VDCM can provide flexible and controllable voltage inertia for the load. According to Lyapunov stability theory, the stability support effect of the proposed VDCM optimal control on the system is analyzed, the parameter optimization scheme is proposed according to the analysis, and the effectiveness of the proposed control strategy is verified by time-domain simulation analysis. © 2023 Electric Power Automation Equipment Press. All rights reserved.
引用
收藏
页码：23 / 29
页数：6
相关论文
共 22 条
  • [1] LI Xialin, GUO Li, WANG Chengshan, Et al., Key technologies of DC microgrids: an overview, Proceedings of the CSEE, 36, 1, pp. 2-17, (2016)
  • [2] LIU Jiaying, HAN Xiaoqing, WANG Lei, Et al., Operation and control strategy of DC microgrid, Power System Technology, 38, 9, pp. 2356-2362, (2014)
  • [3] SUN Pengfei, HE Chunguang, SHAO Hua, Et al., Research status and development of DC distribution network, Electric Power Automation Equipment, 36, 6, pp. 64-73, (2016)
  • [4] WANG Chengshan, LI Wei, WANG Yifeng, Et al., DC bus voltage fluctuation classification and restraint methods review for DC microgrid, Proceedings of the CSEE, 37, 1, pp. 84-98, (2017)
  • [5] LIU Yingpei, ZHOU Suwen, LIANG Haiping, Et al., Flexible virtual inertial control strategy of photovoltaic-energy storage DC distribution network, Electric Power Automation Equipment, 41, 5, pp. 107-113, (2021)
  • [6] ZHU Xiaorong, MENG Xinxin, Stability analysis and research of active damping control method for DC microgrids, High Voltage Engineering, 46, 5, pp. 1670-1681, (2020)
  • [7] GUO Li, FENG Yibin, LI Xialin, Et al., Stability analysis and research of active damping method for DC microgrids, Proceedings of the CSEE, 36, 4, pp. 927-936, (2016)
  • [8] WU Wenhua, CHEN Yandong, LUO An, Et al., A virtual inertia control strategy for bidirectional grid-connected converters in DC micro-grids, Proceedings of the CSEE, 37, 2, pp. 360-372, (2017)
  • [9] ZHU Xiaorong, MENG Fanqi, XIE Zhiyun, Control strategy of DC-DC converter in DC microgrid based on virtual synchronous generator, Automation of Electric Power Systems, 43, 21, pp. 132-140, (2019)
  • [10] MENG Jianhui, ZOU Peigen, WANG Yi, Et al., Small-signal modeling and parameter analysis of the DC microgrid based on flexible virtual inertia control, Transactions of China Electrotechnical Society, 34, 12, pp. 2615-2626, (2019)
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