An Enhance Droop Control Method With Line Impedance Detection Based on Carrier Frequency Ripple Analysis in DC Microgrid

被引:0
作者
Zhu X. [1 ]
Zhao J. [1 ]
Zeng G. [2 ]
Zhang Y. [1 ]
机构
[1] College of Power Engineering, Shanghai University of Electric Power, Yangpu District, Shanghai
[2] College of electronic and electrical engineering, Shanghai University of Engineering Science, Songjiang District, Shanghai
来源
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2020年 / 40卷 / 21期
基金
中国国家自然科学基金;
关键词
Dc micro-grid; Impedance detection; Load distribution; Ripple analysis;
D O I
10.13334/j.0258-8013.pcsee.200062
中图分类号
学科分类号
摘要
In the operation of DC micro grid, the uniform load distribution is beneficial to the stable operation of the system and prolongs the service life of the system. In order to solve the influence of line resistance on traditional droop control in dc micro-grid, a resistance detection method based on ripple analysis was proposed based on the structural characteristics of the dc micro-grid system. The high-frequency harmonic component of microgrid output current and voltage is mainly from the transistor switching frequency. By analyze the high-frequency harmonic component of the voltage and current detected by the converter, the impedance information was obtained, and then the droop control was compensated base on it. In this paper, the compensation method was extended to the application of multiple devices in parallel. This method does not directly operate the system, so it had done no harm to the power quality. Finally, the feasibility of the proposed method in normal working conditions and its effectiveness in the case of communication interruption, load mutation were verified by RT-LAB hardware in loop simulation. © 2020 Chin. Soc. for Elec. Eng.
引用
收藏
页码:6894 / 6902
页数:8
相关论文
共 24 条
  • [1] Li Fudong, Wu Min, An improved control strategy of load distribution in an autonomous microgrid, Proceedings of the CSEE, 31, 13, pp. 18-25, (2011)
  • [2] Liang Haifeng, Zheng Can, Gao Yajing, Et al., Research on improved droop control strategy for microgrid, Proceedings of the CSEE, 37, 17, pp. 4901-4910, (2017)
  • [3] Salomonsson D, Soder L, Sannino A., An adaptive control system for a DC microgrid for data centers[J], IEEE Transactions on Industry Applications, 44, 6, pp. 1910-1917, (2008)
  • [4] Kakigano H, Miura Y, Ise T., Low-voltage bipolar-type DC microgrid for super high quality distribution[J], IEEE Transactions on Power Electronics, 25, 12, pp. 3066-3075, (2010)
  • [5] Kakigano H, Miura Y, Ise T., Distribution voltage control for DC microgrids using fuzzy control and gain- scheduling technique[J], IEEE Transactions on Power Electronics, 28, 5, pp. 2246-2258, (2013)
  • [6] Lv Zhenyu, Wu Zaijun, Dou Xiaobo, Et al., An adaptive droop control for the islanded DC microgrid based on discrete consensus algorithm, Proceedings of the CSEE, 35, 17, pp. 4397-4407, (2015)
  • [7] 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. 360-371, (2017)
  • [8] Xue Shimin, Qi Jinlong, Liu Chong, A research review of protection for DC microgrid, Proceedings of the CSEE, 36, 13, pp. 3404-3412, (2016)
  • [9] Zhu Shanshan, Wang Fei, Guo Hui, Et al., Overview of droop control in DC microgrid, Proceedings of the CSEE, 38, 1, pp. 72-84, (2018)
  • [10] Xiong Xiong, Wu Ming, Ji Yu, Et al., Power management and coordinated control strategy research of multi- microgrids[J], Proceedings of the CSEE, 38, 5, pp. 1419-1427, (2018)