New interface algorithm of digital physical hybrid simulation for grid-connected DFIG based on adaptive mode switching

被引：0

作者：

Wang H. ^{[1
]}

Li J. ^{[1
]}

Zhou H. ^{[1
]}

Wang Y. ^{[2
]}

Li H. ^{[3
]}

机构：

[1] Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin

[2] Liaoning Lightning Protection Technical Service Center, Shenyang

[3] Economic Research Institute of State Grid Anhui Electric Power Co., Ltd., Hefei

来源：

Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2021年 / 41卷 / 12期

关键词：

Damping impedance matching; Delay compensation; DFIG; Digital physical hybrid simulation; Mode switching;

D O I：

10.16081/j.epae.202107023

中图分类号：

学科分类号：

摘要：

The digital physical hybrid simulation has become an important research method of AC/DC hybrid power system, and interface algorithm is the core content to determine the stability and accuracy of simulation system. In order to realize the digital physical hybrid simulation of new energy through flexible DC transmission, the digital physical hybrid simulation is applied to DFIG(Doubly Fed Induction Generator), and a new interface algorithm of adaptive mode switching is designed. According to the structural principle of damping impedance method, the dynamic equivalent impedance model of physically simulated DFIG is established. In view of the phenomenon that the impedance method will amplify the harmonic current in the dynamic process of DFIG, a filter branch is added between the power interface and the digital side, and the switching conditions of the branch switch are designed based on the proportion of the DC component of DFIG to prevent switch misoperation. The wavelet neural network predictive algorithm for time series is used to compensate the transmission delay of DFIG speed in physical side, which effectively improves the accuracy of dynamic impedance matching. Through digital simulation, the stability and accuracy of the traditional interface algorithm and the new interface algorithm are compared. Finally, a digital physical hybrid simulation platform for DFIG is built to verify the feasibility of the proposed algorithm. © 2021, Electric Power Automation Equipment Press. All right reserved.

引用

页码：19 / 26

页数：7

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