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|Title:||Model predictive control of nine-level active nested neutral-point piloted converter||Authors:||Ahmed S. Hussein
Amer Mohammad Yusuf Mohammad Ghias
|Keywords:||Engineering::Electrical and electronic engineering::Power electronics||Issue Date:||2019||Source:||Ahmed S. Hussein & Amer Mohammad Yusuf Mohammad Ghias (2019). Model predictive control of nine-level active nested neutral-point piloted converter. IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, 4971-4976. https://dx.doi.org/10.1109/IECON.2019.8926851||Abstract:||In this paper, a finite control set model predictive control (FCS-MPC) is developed and applied to the hybrid Nine-level Active Nested Neutral-Point Piloted (9L-ANNPP) voltage source converter. A mathematical model for the converter is derived and then incorporated in the FCS-MPC. The objective of the control algorithm is to operate the converter at the desired reference output current while balancing the dc-link and flying capacitors' voltages. The balancing of the capacitors is achieved by utilizing the redundant switching states of the converter. The control algorithm is also applied to a similar hybrid 9-level converter to compare the output quality of both topologies. The effectiveness of the implemented FCS-MPC is evaluated by computer simulation under different operating conditions. The control algorithm is able to produce high quality output while maintaining the capacitors at the target voltage levels. The comparison of the two topologies shows that the 9L-ANNPP can produce similar output waveform quality despite of its reduced component count.||URI:||https://hdl.handle.net/10356/156679||ISBN:||9781728148786||DOI:||10.1109/IECON.2019.8926851||Rights:||© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works. The published version is available at: https://doi.org/10.1109/IECON.2019.8926851.||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Conference Papers|
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