Research on Hybrid Odd-order Nonlinear Droop Control for DC Microgrids Based on ADRC

MAO Jingfeng; ZHANG Zhenmeng; WU Aihua; ZHANG Xudong; WU Jian

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Research on Hybrid Odd-order Nonlinear Droop Control for DC Microgrids Based on ADRC

更新时间：2025-12-08

- Research on Hybrid Odd-order Nonlinear Droop Control for DC Microgrids Based on ADRC
- Vol. 46, Issue 7, Pages: 2296-2306(2020)
- 作者机构：
  
  南通大学电气工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published Online：31 July 2020，
  
  Published：2020
- 稿件说明：
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MAO Jingfeng, ZHANG Zhenmeng, WU Aihua, et al. Research on Hybrid Odd-order Nonlinear Droop Control for DC Microgrids Based on ADRC[J]. 2020, 46(7): 2296-2306.
DOI：

MAO Jingfeng, ZHANG Zhenmeng, WU Aihua, et al. Research on Hybrid Odd-order Nonlinear Droop Control for DC Microgrids Based on ADRC[J]. 2020, 46(7): 2296-2306. DOI：

摘要

为了提高直流微电网分布式电源间的均流精度和母线电压的稳定性

提出一种基于自抗扰控制（active disturbance rejection control

ADRC）补偿的直流微电网混合奇数阶非线性下垂控制方法。首先通过电路稳态解析方程

分析了线路阻抗与均流效果和电压调节的关系

导出了混合奇数阶非线性下垂系数曲线方程及其多项式平滑拟合表达式;设计了母线电压稳定二次补偿自抗扰控制器

以进一步抑制线路阻抗压降与负载功率扰动;然后

基于直流微电网小信号模型与特征值分析方法

验证了系统的稳定性。最后

利用Matlab/Simulink多案例仿真实验

证明了所提方法的正确有效性。

Abstract

In order to improve the current sharing accuracy and bus voltage stability among distributed generators（DGs） in DC microgrids

a hybrid odd-order nonlinear droop gain（HNDG） control method for DC microgrids based on active-disturbance-rejection control（ADRC） is proposed. Firstly

the relationship between line impedance and current sharing effect as well as voltage regulation is analyzed by circuit analysis equation. The new hybrid odd-order nonlinear droop coefficient curve and its polynomial smooth fitting expression are derived. The bus voltage secondary compensation active-disturbance-rejection controller is designed. The controller can further suppress line impedance voltage drop and load power disturbance. Secondly

based on the DC microgrids small signal model and eigenvalue analysis method

the stability of the proposed droop control system is verified. Finally

the Matlab/Simulink multi-case simulation experments are used to prove the correctness and effectiveness of the proposed method.

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