Title :
Model-Predictive Direct Power Control With Vector Preselection Technique for Highly Efficient Active Rectifiers
Author :
Sangshin Kwak ; Jun-Cheol Park
Author_Institution :
Sch. of Electr. & Electron. Eng., Chung-ang Univ., Seoul, South Korea
Abstract :
This paper proposes a novel method to reduce switching losses on the basis of a model-predictive direct power control (MPDPC) method for ac-dc active rectifiers. The main idea is to preselect voltage vectors to decrease switching losses at the next sampling period, and then select one optimum voltage vector among only the preselected voltage vectors to perform direct power control (DPC). The proposed vector preselection scheme enables a predefined cost function to consider only four vectors to control the real and the reactive power at every sampling period. The proposed MPDPC method using only the four preselected vectors stops switching operation of one leg exposed to the largest input current at every sampling period. On the basis of the preselected vectors at each sampling period, the proposed method can effectively reduce the switching losses, as well as accurately perform power control of the active rectifier.
Keywords :
power control; predictive control; rectifiers; vectors; MPDPC method; ac-dc active rectifiers; model-predictive direct power control; optimum voltage vector; predefined cost function; sampling period; vector preselection technique; Power control; Reactive power; Rectifiers; Switches; Switching loss; Vectors; Voltage control; Active rectifiers; direct power control; direct power control (DPC); high efficiency; predictive control; switching loss;
Journal_Title :
Industrial Informatics, IEEE Transactions on
DOI :
10.1109/TII.2014.2363761