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The sub-module voltage-balanced control strategy of mmc-HVDC based on model prediction control
- Source :
- The Journal of Engineering (2019)
- Publication Year :
- 2019
- Publisher :
- Wiley, 2019.
-
Abstract
- The modular multilevel converter (MMC) has the advantages of high efficiency, low harmonic, modular design, and easy cascade, which has been widely used in the field of high voltage and large capacity energy conversion. In order to improve the dynamic response speed of the MMC-HVDC based on the modular multi-level converter, a novel method which combines a model predictive control (MPC) of MMC-HVDC system with improved sub-module voltage balanced control strategy is proposed. The method, which utilises the prediction model, feedback correction and rolling optimisation to obtain the optimal voltage control, overcomes the difficulties in the traditional way of setting PI parameters of the internal loop current controller and the outer loop controller and tackles the problem of low dynamic response. Finally, a 21-level MMC-HVDC system simulation model is built on PSCAD-EMTDC software platform. The simulation results indicate the effectiveness and feasibility of the control strategy.
- Subjects :
- dynamic response
PI control
predictive control
voltage control
power transmission control
electric current control
HVDC power convertors
HVDC power transmission
optimal control
power conversion harmonics
prediction model
feedback correction
rolling optimisation
optimal voltage control
internal loop current controller
outer loop controller
low dynamic response
model prediction control
modular multilevel converter
low harmonic design
modular design
dynamic response speed
model predictive control
submodule voltage-balanced control strategy
MMC-HVDC system simulation model
large capacity energy conversion
PI parameters
PSCAD-EMTDC software platform
Engineering (General). Civil engineering (General)
TA1-2040
Subjects
Details
- Language :
- English
- ISSN :
- 20513305
- Database :
- Directory of Open Access Journals
- Journal :
- The Journal of Engineering
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.f9e79c4d60940e4b6eee8243c8fcc31
- Document Type :
- article
- Full Text :
- https://doi.org/10.1049/joe.2018.8627