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Improved deadbeat FC-MPC based on the discrete space vector modulation method with efficient computation for a grid-connected three-level inverter systemoa mark
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Publication Year
2019-08-13
Publisher
MDPI AG
Citation
Energies, Vol.12
Keyword
Computation efficiencyDeadbeat controlDiscrete space vector modulationGrid connected systemModel predictive controlT-type inverterThree-level system
Mesh Keyword
Computation efficiencyDeadbeat controlDiscrete space vector modulationGrid connected systemsT-type inverterThree level systems
All Science Classification Codes (ASJC)
Renewable Energy, Sustainability and the EnvironmentEnergy Engineering and Power TechnologyEnergy (miscellaneous)Control and OptimizationElectrical and Electronic Engineering
Abstract
The utilization of three-level T-type (3L T-type) inverters in finite set-model predictive control (FS-MPC) of grid-connected systems yielded good performance in terms of current ripples and total harmonic distortions. To further improve the system’s performance, discrete space vector modulation (DSVM) was utilized to synthesize a higher number of virtual voltage vectors. A deadbeat control (DBC) method was used to alleviate the computational burden and provide the optimum voltage vector selection. However, 3L inverters are known to suffer from voltage deviation, owing to the imbalance of the neutral-point voltage. We have proposed a simplified control strategy for balancing the neutral point in the FS-MPC with DSVM and DBC of grid-connected systems, not requiring a weighting factor or additional cost function calculation. The effectiveness of the proposed method was validated using simulation and experiment results. Our experimental results show that the execution time of the proposed algorithm was significantly reduced, while its current quality performance was not affected.
ISSN
1996-1073
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/30886
DOI
https://doi.org/10.3390/en12163111
Fulltext

Type
Article
Funding
Funding: This work was supported by \u201cHuman Resources Program in Energy Technology\u201d of the Korea Institute of Energy Technology Evaluation and Planning (KETEP), granted financial resource from the Ministry of Trade, Industry & Energy, Republic of Korea and National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT for First-Mover Program for Accelerating Disruptive Technology Development. (No. 20194030202370, NRF-2018M3C1B9088457).
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Lee, Kyo-Beum이교범
Department of Electrical and Computer Engineering
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