LAPSE:2023.21442
Published Article
LAPSE:2023.21442
Modeling and Enhanced Control of Hybrid Full Bridge−Half Bridge MMCs for HVDC Grid Studies
March 22, 2023
Abstract
Modular multilevel converters (MMCs) are expected to play an important role in future high voltage direct current (HVDC) grids. Moreover, advanced MMC topologies may include various submodule (SM) types. In this sense, the modeling of MMCs is paramount for HVDC grid studies. Detailed models of MMCs are cumbersome for electromagnetic transient (EMT) programs due to the high number of components and large simulation times. For this reason, simplified models that reduce the computation times while reproducing the dynamics of the MMCs are needed. However, up to now, the models already developed do not consider hybrid MMCs, which consist of different types of SMs. In this paper, a procedure to simulate MMCs having different SM topologies is proposed. First, the structure of hybrid MMCs and the modeling method is presented. Next, an enhanced procedure to compute the number of SMs to be inserted that takes into account the different behavior of full-bridge SMs (FB-SMs) and half-bridge submodules (HB-SMs) is proposed in order to improve the steady-state and dynamic response of hybrid MMCs. Finally, the MMC model and its control are validated by means of detailed PSCAD simulations for both steady-state and transients conditions (AC and DC faults).
Keywords
average value model, hybrid MMC, Modelling, modular multilevel converter (MMC)
Suggested Citation
Vidal-Albalate R, Forner J. Modeling and Enhanced Control of Hybrid Full Bridge−Half Bridge MMCs for HVDC Grid Studies. (2023). LAPSE:2023.21442
Author Affiliations
Vidal-Albalate R: Department of Industrial Systems Engineering and Design, Universitat Jaume I, 12071 Castelló de la Plana, Spain [ORCID]
Forner J: Department of Industrial Systems Engineering and Design, Universitat Jaume I, 12071 Castelló de la Plana, Spain
Journal Name
Energies
Volume
13
Issue
1
Article Number
E180
Year
2020
Publication Date
2020-01-01
ISSN
1996-1073
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Original Submission
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PII: en13010180, Publication Type: Journal Article
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LAPSE:2023.21442
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https://doi.org/10.3390/en13010180
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