A Novel Framework of Extended Active Power and Its Application Into Low Complexity MPC for Enhanced Steady-State Performance

This article proposes a novel low complexity model predictive control (LC-MPC) for the performance improvement of the ac/dc converter under unbalanced grid voltages. Although the finite control set model predictive control (FCS-MPC) is a very effective control method, whose cost function is evaluate...

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Bibliographic Details
Published in:IEEE journal of emerging and selected topics in power electronics 2022-10, Vol.10 (5), p.5647-5658
Main Authors: Ran, Xiaohong, Xu, Bo, Liu, Kaipei
Format: Article
Language:English
Subjects:
AC-DC converters
AC-DC power converters
Complexity
Control methods
Cost function
Framework of extended active power
Harmonics
low complexity model predictive control (LC-MPC)
Mathematical models
Predictive control
Reactive power
reduced current harmonics
Steady state
Unbalance
Voltage control
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Summary:This article proposes a novel low complexity model predictive control (LC-MPC) for the performance improvement of the ac/dc converter under unbalanced grid voltages. Although the finite control set model predictive control (FCS-MPC) is a very effective control method, whose cost function is evaluated for all discrete switching states, presenting a high calculation burden for the efficient control. To obtain a reduced harmonic of the grid current and a low calculation burden under unbalanced grid conditions, a new framework of the extended active power is proposed and a negative conjugate of new complex power is chosen as a control variable. In the proposed LC-MPC method, the best voltage vector is obtained with only one prediction whether it is the proposed single-vector-based LC-MPC (SVLC-MPC) or double-vector-based LC-MPC (DVLC-MPC) method, and the optimal duration time using the framework of the extended active power is derived in detail based on the principle of minimizing the error of the new complex power. The proposed LC-MPC has a similar dynamic performance with the prior model predictive control (MPC) methods and obtains much better steady-state performance, i.e., the reduced harmonics of grid currents, under severely unbalanced grid voltages. The comparative experiments confirm the effectiveness of the proposed LC-MPC method.
ISSN:2168-6777
2168-6785
DOI:10.1109/JESTPE.2022.3166814