DocumentCode
1760351
Title
The Use of Averaged-Value Model of Modular Multilevel Converter in DC Grid
Author
Jianzhong Xu ; Gole, Aniruddha M. ; Chengyong Zhao
Author_Institution
State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China
Volume
30
Issue
2
fYear
2015
fDate
42095
Firstpage
519
Lastpage
528
Abstract
This paper investigates the applicability of averaged-value models (AVMs) for modular multilevel converters (MMCs) operating in a voltage-sourced converter-based-high-voltage dc (VSC-HVDC) grid. The AVM models are benchmarked by comparison with a detailed electromagnetic transient model of the grid, including a fully detailed MMC model. Analysis results show that the AVM is only effective as long as the capacitors are large enough to maintain nearly constant voltage across each MMC submodule. This paper also shows that previously developed MMC averaged models are not able to accurately simulate the transients under dc fault conditions. This paper introduces topology changes to a previously proposed averaged model that results in much improved simulation for such conditions. This paper also shows that the model can be used effectively to study HVDC grids with significant time savings.
Keywords
HVDC power convertors; HVDC power transmission; power grids; AVM model; DC fault condition; DC grid; MMC averaged model; MMC submodule; VSC-HVDC grid; averaged-value model; capacitors; detailed electromagnetic transient model; fully-detailed MMC model; modular multilevel converter; nearly-constant voltage; transient simulation; voltage-sourced converter-based-high-voltage DC grid; Capacitance; Capacitors; Computational modeling; Converters; Mathematical model; Switches; Voltage control; Averaged-value model (AVM); detailed model (DM); electromagnetic transient (EMT); modular multilevel converter (MMC); submodule (SM);
fLanguage
English
Journal_Title
Power Delivery, IEEE Transactions on
Publisher
ieee
ISSN
0885-8977
Type
jour
DOI
10.1109/TPWRD.2014.2332557
Filename
6856233
Link To Document