发布时间：

2025-11-04

影响因子：

9.8

DOI码：

10.1109/TSG.2024.3398146

论文名称：

Rapid Individual Parameter Optimization of Plug-and-Play Modules in DC Active Distribution Networks Considering Virtual Impedance

发表刊物：

IEEE Transactions on Smart Grid

关键字：

Boundary calculation, DC active distribution networks, individual parameter optimization, plug-and-play, root loci, small-signal stability, virtual impedance

摘要：

Plug-and-Play (PnP) operations are commonplace to enhance the resilience of DC Active Distribution Networks (ADNs). During device PnP, small-signal stability issues may arise due to inappropriate system parameters. Therefore, rapid stability adjustment is essential to realizing PnP operations. This paper presents an Individual Parameter Optimization (IPO) method to rapidly improve stability by tuning few parameters. Virtual Impedances (VIs) are considered to solve the problem that adjusting the regular operating parameters is limited or inoperable in practice. Rapid parameter boundary calculation is adopted as a less time-consuming alternative for drawing root loci to select appropriate values of dominant parameters. Firstly, for boundary calculation of control parameters, a method for distinguishing all types of root loci is proposed based on the first- and second-order Eigenvalue Parametric Sensitivities (EPSs), and then, according to different root loci, narrower initial intervals are determined to speed up Eigenvalue Perturbation Theory (EPT)-based method. Secondly, for adjustable operating parameters, the improved EPT-based method is adopted instead of the Newton–Raphson formula in traditional iteration methods to avoid solving eigenvalue problems and shorten the calculation time of EPSs. Numerical and simulation results indicate that the proposed IPO method can effectively adjust system stability, only taking a fraction of the time of traditional methods.

合写作者：

Yanjie Hu,Yufei Zhao,Yinan Xiang

第一作者：

Hanwen Gu

论文类型：

期刊论文

通讯作者：

Zaibin Jiao

卷号：

15

期号：

5

页面范围：

4522 - 4536, IEEE Transactions on Smart Grid

ISSN号：

1949-3053

是否译文：

否

发表时间：

2024-05-08

收录刊物：

SCI

发布期刊链接：

https://ieeexplore.ieee.org/document/10525064