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
  • [11] HUANG P H, LIU P C, XIAO W, Et al., A novel droop-based average voltage sharing control strategy for DC microgrids, IEEE Transactions on Smart Grid, 6, 3, pp. 1096-1106, (2014)
  • [12] WANG Hui, ZHAO Shuqiang, MENG Jianhui, Et al., Adaptive virtual inertia control for DC microgrid based on droop curve intercept adjustment, Automation of Electric Power Systems, 45, 24, pp. 97-105, (2021)
  • [13] CINGOZ F, ELRAYYAH A, SOZER Y., Optimized droop control parameters for effective load sharing and voltage regulation in DC microgrids, Electric Power Components and Systems, 43, 8-10, pp. 879-889, (2015)
  • [14] ZHANG M, XU Q, ZHANG C, Et al., Decentralized coordination and stabilization of hybrid energy storage systems in DC microgrids, IEEE Transactions on Smart Grid, 13, 3, pp. 1751-1761, (2022)
  • [15] ZHANG Y, QU X, TANG M, Et al., Design of nonlinear droop control in DC microgrid for desired voltage regulation and current sharing accuracy, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 11, 1, pp. 168-175, (2021)
  • [16] CHEN Boxu, CUI Wei, CHEN Yu, Et al., Charge balance control strategy for multiple energy storage in a distributed energy storage DC microgrid, Power System Protection and Control, 51, 24, pp. 111-120, (2023)
  • [17] MI Yang, QIAN Yiming, ZHANG Haojie, Et al., Distributed coordinated control of a DC microgrid energy storage unit considering abnormal communication, Power System Protection and Control, 51, 13, pp. 50-59, (2023)
  • [18] PAN H, FENG X, LI F, Et al., Energy coordinated control of DC microgrid integrated incorporating PV, energy storage and EV charging, Applied Energy, 342, (2023)
  • [19] MOHAMMED N, CALLEGARO L, CIOBOTARU M, Et al., Accurate power sharing for islanded DC microgrids considering mismatched feeder resistances, Applied Energy, 340, (2023)
  • [20] ZHANG Q, ZHUANG X, LIU Y, Et al., A novel control strategy for mode seamless switching of PV converter in DC microgrid based on double integral sliding mode control, ISA Transactions, 100, pp. 469-480, (2020)