电力系统自动化2024，Vol.48Issue(13)：147-159,13.DOI:10.7500/AEPS20230728002
不对称工况下模块化多电平换流器稳定性分析的矩阵降维
Matrix Dimensionality Reduction for Stability Analysis of Modular Multilevel Converters Under Asymmetric Conditions
摘要
Abstract
The modeling and stability analysis of modular multilevel converter(MMC)under symmetric conditions has received extensive attention.In practical engineering,MMC might be in asymmetric conditions,such as asymmetric inductance of the bridge arm and asymmetric voltage on the AC side.The admittance modeling and stability analysis under asymmetric conditions need to be further studied.At present,considering the admittance model of the system with multi-frequency coupling and the quantitative admittance dimensionality reduction methods are the difficulties in the stability analysis of asymmetric conditions.Therefore,this paper mainly establishes the MMC admittance model suitable for asymmetric conditions,and studies the matrix dimensionality reduction method suitable for small disturbance stability analysis under MMC asymmetric conditions.The dimensionality reduction method is based on the vector norm of admittance matrix.It is suitable for"black box"system and various asymmetric conditions,and can quantitatively evaluate the dimensionality reduction error of the admittance matrix with each order.Taking the Guangxi-side model of Luxi back-to-back asynchronous grid-connection project of China as a case,PSCAD/EMTDC electromagnetic transient simulation is used to verify the accuracy of the proposed model and the applicability of the proposed dimensionality reduction method under various asymmetric conditions.关键词
模块化多电平换流器/导纳建模/不对称工况/矩阵降维/稳定性Key words
modular multilevel converter/admittance modeling/asymmetric condition/matrix dimensionality reduction/stability引用本文复制引用
汪娟娟,王泽昊,刘岳坤,冯俊杰,傅闯..不对称工况下模块化多电平换流器稳定性分析的矩阵降维[J].电力系统自动化,2024,48(13):147-159,13.基金项目
国家自然科学基金资助项目(52277102) （52277102）
国家重点研发计划资助项目(2023YFB2405900). This work is supported by National Natural Science Foundation of China(No.52277102)and National Key R&D Program of China(No.2023YFB2405900). （2023YFB2405900）
