Dynamic Performance Improvement of AC/DC Converter Using Model Predictive Direct Power Control With Finite Control Set

• Published in: IEEE transactions on industrial electronics (1982) Vol. 62; no. 2; pp. 757 - 767
• Main Authors: Choi, Dae-Keun, Lee, Kyo-Beum
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.02.2015; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Converters; Cost function; Direct current; Dynamical systems; Dynamics; Electric converters; Interference; Mathematical models; Power control; Reactive power; Switches; Vectors; Voltage control; direct power control (DPC); AC/DC power conversion; converter control; model predictive control (MPC)
• ISSN: 0278-0046; 1557-9948
• DOI: 10.1109/TIE.2014.2352214

This paper presents a control scheme for the dynamic performance improvement of an AC/DC converter using the model predictive direct power control (MPDPC) with a duty cycle. In the MPDPC, the active and reactive power is simultaneously controlled with a single cost function. If either of the two control targets has a large power variation, the control weight is concentrated on one side, which causes mutual interference. Because of such mutual interference, the control dynamics of the AC/DC converter deteriorates. Due to the control weight being concentrated on one side using the single cost function, even if the control dynamics of the other side decreases, the dynamic performance of the system is improved by reconfiguring the cost function that has the weighting factor to minimize the decline of the system dynamics that is caused by the mutual interference. The effectiveness of the proposed control scheme is verified by comparing its results with those of the conventional MPDPC. The results are obtained through the simulations and experiments.