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A Generic Scheduling Algorithm for Low-Frequency Switching in Modular Multilevel Converters With Parallel Functionality

delete2021-03-01
delete31
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OA
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N
Nima Tashakor *
Z
Zhongxi Li
S
Stefan M. Goetz
DOI:10.1109/TPEL.2020.3018168delete
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Abstract

Abstract

En 中文
Since the introduction of modular multilevel converters (MMC), various additional features have been introduced for MMCs, among them parallel inter-module connectivity. However, such a parallel mode requires appropriate modulation and switching strategies to exploit its full potential. Low-frequency switching modulation is widely used with half-bridge modules and a large body of research focusses on the optimum control and scheduling of these methods. However, so far, a suitable adaptation for MMCs with parallel mode is missing, and existing methods perform suboptimum. This article proposes a generic scheduling algorithm for simple and low-cost integration with low-frequency switching modulation. The proposed method reduces control complexity, minimizes power loss, and can be combined with most modulation techniques, including nearest-level modulation (NLM) and selective harmonic elimination. The text in this article provides a general algorithm for integrating this method with other control levels and analyzes its effect on MMCs with parallel functionality. Moreover, it examines the performance of the system with NLM combined with the proposed scheduler and compares it to other alternatives. Results show up to a 50% reduction in power loss with a similar modulation technique as well as significantly lower THD and power loss compared to optimized phase-shifted carrier modulation as another sensorless alternative method.
Keywords:
Switches
Topology
Resistance
Inductors
Phase modulation
Power electronics
Low-frequency switching
modular multilevel converters
module scheduler
voltage balancing
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IEEE Transactions on Power Electronics cover
IEEE Transactions on Power Electronics
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6.5
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8.3W

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Duke University
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University of Kaiserslautern cover
University of Kaiserslautern
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