Fast and fault-tolerant model predictive control of MMCs under selective harmonic elimination

Mohammadhassani, Ardavan; Mehrizi‐Sani, Ali

doi:10.1049/gtd2.12679

Fast and fault-tolerant model predictive control of MMCs under selective harmonic elimination

Journal Article · Wed Nov 23 00:00:00 EST 2022 · IET Generation, Transmission, & Distribution

DOI:https://doi.org/10.1049/gtd2.12679· OSTI ID:2424772

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Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States)

Selective harmonic elimination (SHE) is a suitable pulse-width modulation (PWM) tech-nique for some applications of modular multilevel converters (MMC) with lower numberof semiconductor submodules (SM). However, SHE can make it difficult to control circu-lating currents in the MMC. Moreover, the MMC is vulnerable to SM switch failures thatreduce its output power magnitude and quality. This paper proposes a fault-tolerant modelpredictive control strategy for MMCs operating with SHE (FT SHE-MPC). The effects ofswitch failure on phase voltage waveforms are studied first. Then, a method is proposedto design the FT SHE waveform to preserve its harmonic performance. Next, the pro-posed FT SHE-MPC is designed to increase the capacitor voltages during an SM failure tomaintain the fundamental component of the faulty phase voltage and control the circulat-ing currents, maintaining balance among line voltages and the output power of the MMC.Additionally, the proposed method offers as much as 60% faster FT transition time and asmuch as 36% lower capacitor voltage ripple. The advantages of the proposed method areverified through offline and real-time simulation studies on a three-phase nine-level MMCin PSCAD/EMTDC software and RTDS.

View Accepted Manuscript (DOE)

Research Organization:: Virginia Polytechnic Inst. and State Univ., Blacksburg, VA (United States)

Sponsoring Organization:: National Science Foundation (NSF); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office

OSTI ID:: 2424772

Journal Information:: IET Generation, Transmission, & Distribution, Journal Name: IET Generation, Transmission, & Distribution Journal Issue: 1 Vol. 17; ISSN 1751-8687

Publisher:: Institution of Engineering and Technology (IET)Copyright Statement

Country of Publication:: United States

Language:: English

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