A three-vector model predictive control method and system for a multi-parallel three-level converter
By employing a three-vector model predictive control method for multiple parallel three-level converters, the problems of circulating current suppression, midpoint potential balance, and power quality improvement in multi-parallel three-level converter systems are solved. This method achieves efficient multi-control objective collaborative optimization and low switching losses, making it suitable for high-power industrial applications.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANDONG UNIV
- Filing Date
- 2026-04-30
- Publication Date
- 2026-06-19
AI Technical Summary
In multi-parallel three-level converter systems, there are problems such as circulating current suppression, output current ripple suppression and THD optimization, decoupling and coordination of multiple control objectives and optimization of algorithm computational burden. Traditional methods are difficult to achieve accurate multi-circulating current coordinated suppression, midpoint potential balance control and power quality improvement in multi-parallel topologies.
A three-vector model predictive control method for multiple parallel three-level converters is adopted. Through equivalent modeling, mn coordinate system transformation and redundant voltage vector allocation, circulating current suppression and midpoint potential balance are achieved. Combined with three-vector collaborative optimization control, the computational complexity of the algorithm is reduced.
It achieves improved steady-state performance, increased dynamic response speed, improved current tracking control accuracy, reduced switching losses, and optimized power quality of multi-parallel three-level converter systems, adapting to the needs of high-power industrial scenarios.
Smart Images
Figure CN122247229A_ABST