An improved droop control strategy for a DC microgrid based on line resistance observations

被引:0
|
作者
Ning X. [1 ]
Pan H. [1 ,2 ]
Li F. [1 ,2 ]
Wu J. [1 ]
机构
[1] School of Electronic and Electrical Engineering, Ningxia University, Yinchuan
[2] Ningxia Key Laboratory of Electrical Energy Security, Yinchuan
基金
中国国家自然科学基金;
关键词
DC microgrids; droop control; line resistance; rated power; recursive least squares;
D O I
10.19783/j.cnki.pspc.231551
中图分类号
学科分类号
摘要
Accurate load power equalization and bus voltage stabilization are the main control objectives of DC microgrids. However, traditional droop control causes problems of low current distribution accuracy and significant bus voltage deviation. An improved droop control strategy based on line resistance observations is proposed to solve this shortcoming. The main reason for the uneven distribution of the output current of each converter is the mismatch of line resistance. The line resistance is first estimated using the recursive least squares method. The droop coefficient is adjusted using the estimated line resistance value. Then further considering that the rated power of each converter is different, the droop coefficient is adjusted according to the rated power of the converter so that the output current of each converter is distributed in proportion to its rated power. Finally, an islanded DC microgrid model is constructed on the Matlab/Simulink platform, and three different droop coefficients are simulated to verify the effectiveness and feasibility of the method for power equalization and voltage stabilization under the operating conditions of constant and variable load, and converter withdrawal. © 2024 Power System Protection and Control Press. All rights reserved.
引用
收藏
页码:42 / 51
页数:9
相关论文
共 30 条
  • [1] KUMAR S, INJETI, THUNUGUNTLA V K., Optimal integration of DGs into radial distribution network in the presence of plug-in electric vehicles to minimize daily active power losses and to improve the voltage profile of the system using bio-inspired optimization algorithms, Protection and Control of Modern Power Systems, 5, 1, pp. 21-35, (2020)
  • [2] GOUD P C D, GUPTA R., Solar PV based nanogrid integrated with battery energy storage to supply hybrid residential loads using single-stage hybrid converter, IET Energy Systems Integration, 2, 2, pp. 161-169, (2020)
  • [3] HAN Y, LI H, SHEN P, Et al., Review of active and reactive power sharing strategies in hierarchical controlled microgrids, IEEE Transactions on Power Electronics, 32, 3, pp. 2427-2451, (2016)
  • [4] ANAND S, FERNANDES B G, GUERRERO J., Distributed control to ensure proportional load sharing and improve voltage regulation in low-voltage DC microgrids, IEEE Transactions on Power Electronics, 28, 4, pp. 1900-1913, (2012)
  • [5] LIU S, MIAO H, Li J, Et al., Voltage control and power sharing in DC Microgrids based on voltage-shifting and droop slope-adjusting strategy, Electric Power Systems Research, 214, (2023)
  • [6] HOANG K D, LEE H H., Accurate power sharing with balanced battery state of charge in distributed DC microgrid, IEEE Transactions on Industrial Electronics, 66, 3, pp. 1883-1893, (2018)
  • [7] 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, (2015)
  • [8] FERAHTIA S, DJEROUI A, REZK H, Et al., Adaptive droop based control strategy for DC microgrid including multiple batteries energy storage systems, Journal of Energy Storage, 48, (2022)
  • [9] FANG Wei, QI Nan, QIU Rui, Et al., An improved SoC balance control method for low-voltage DC microgrids, Journal of University of Electronic Science and Technology, 50, 6, pp. 947-953, (2021)
  • [10] ZHANG Ting, LEI Yong, WANG Xiaoxi, Research on control strategy of DC microgrid energy storage system considering SoC equilibrium, Chinese Journal of Power Sources, 47, 8, pp. 1099-1104, (2023)