Multi-objective modulated Model Predictive Control for a multilevel solid state transformer

Tarisciotti, Luca; Zanchetta, Pericle; Watson, Alan James; Wheeler, Patrick; Clare, Jon C.; Bifaretti, Stefano

Abstract

Finite Control Set Model Predictive Control (FCS-MPC) offers many advantages over more traditional control techniques, such as the ability to avoid cascaded control loops, easy inclusion of constraint and fast transient response of the control system. This control scheme has been recently applied to several power conversion systems, such as two, three or more level converters, Matrix converters, etc. Unfortunately, because of the lack of presence of a modulation strategy, this approach produces spread spectrum harmonics which are difficult to filter effectively. This may results in a degraded power quality when compared to more traditional control schemes. Furthermore, high switching frequencies may be needed, considering the limited number of switching states in the converter. This paper presents a novel multi-objective Modulated predictive control strategy, which preserves the desired characteristics of FCS-MPC but produces superior waveform quality. The proposed method is validated by experimental tests on a seven level Cascaded H-Bridge Back-To-Back converter and compared to a classic MPC scheme.

Citation

Tarisciotti, L., Zanchetta, P., Watson, A. J., Wheeler, P., Clare, J. C., & Bifaretti, S. (2015). Multi-objective modulated Model Predictive Control for a multilevel solid state transformer. IEEE Transactions on Industry Applications, 51(5), https://doi.org/10.1109/TIA.2015.2429113

• Journal Article Type: Article
• Acceptance Date: Apr 25, 2015
• Online Publication Date: May 4, 2015
• Publication Date: Sep 16, 2015
• Deposit Date: May 5, 2016
• Publicly Available Date: May 5, 2016
• Journal: IEEE Transactions on Industry Applications
• Print ISSN: 0093-9994
• Electronic ISSN: 0093-9994
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 51
• Issue: 5
• DOI: https://doi.org/10.1109/TIA.2015.2429113
• Public URL: https://nottingham-repository.worktribe.com/output/761094
• Publisher URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7101248
• Additional Information: c2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.