A Simplified Space Vector Modulation Method for VIENNA Rectifier Considering Neutral-point Potential Balance

Author(s):  
Danli Liao ◽  
Guopeng Zhou ◽  
Renzhuo Wan ◽  
Kun Yang
2014 ◽  
Vol 496-500 ◽  
pp. 1079-1083
Author(s):  
Shi Weng Gui ◽  
Lu Wang ◽  
Sheng Hua Huang

Neutral-point (NP)-clamped three-level converter is a widely used topology in the research fields of the multilevel converters, which suffers from the NP voltage drift as its main technical drawback. In theory, it is based on the fact that the virtual space vector modulation approach could completely control the balance of neutral-point potential, so this paper introduces a improved control strategy of neutral-point potential balancing in three-level converter, which combines the space vector modulation approach based on virtual vectors with the algorithm of modifying small vectors pairs distribution time accurately. Relative to the traditional proposed algorithm of setting voltage tolerance range to modify small vectors pairs distribution time,the performance of algorithm of capacitor charge balancing is better and its accuracy of control is more precise. The feasibility of the proposed control approach has been verified via experiment results.


Energies ◽  
2019 ◽  
Vol 12 (16) ◽  
pp. 3111 ◽  
Author(s):  
Alsofyani ◽  
Lee

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.


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