Methodology for interaction identification in modular multi-level converter-based HVDC systems

被引：5

作者：

Tavakoli, Saman Dadjo ^{[1
]}

Prieto-Araujo, Eduardo ^{[1
]}

Sanchez-Sanchez, Enric ^{[1
]}

Gomis-Bellmunt, Oriol ^{[1
]}

机构：

[1] Univ Politecn Cataluna, Dept Elect Engn, Av Diagonal 647, Barcelona 08028, Spain

来源：

ISA TRANSACTIONS | 2022年 / 126卷

关键词：

HVDC link; MMC; Interactions; Stability analysis; State-space model; SIGNAL STABILITY ANALYSIS; VSC-HVDC;

D O I：

10.1016/j.isatra.2021.07.034

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper suggests a methodology for the identification, classification, and evaluation of various types of interactions that may occur in an HVDC link based on modular multi-level converters (MMC). The methodology incorporates the most suitable analytic tools for the frequency-domain study of each interaction category. To do so, a detailed nonlinear model of an MMC-based HVDC link that consists of master and slave MMCs, AC grids, and the DC transmission system is derived. Then, it is linearized to obtain a multi-input multi-output (MIMO) linear model that represents the dynamics of the complete MMC-based HVDC link. Based on the control loops of interest, interactions are classified as (1) state variable interactions, (2) disturbance interactions, (3) control loop interactions, and (4) overall system interactions. Then, through the application examples, the mentioned four categories of interactions are studied in frequency domain via the relevant analytic tools. The results obtained from the frequency-domain analysis are validated by time-domain simulation. (C) 2021 ISA. Published by Elsevier Ltd. All rights reserved.

引用

页码：300 / 315

页数：16

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