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Behrooz Bahrani

Researcher at Monash University, Clayton campus

Publications -  71
Citations -  3861

Behrooz Bahrani is an academic researcher from Monash University, Clayton campus. The author has contributed to research in topics: Control theory & Voltage. The author has an hindex of 15, co-authored 48 publications receiving 2723 citations. Previous affiliations of Behrooz Bahrani include École Polytechnique Fédérale de Lausanne & Monash University.

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Journal ArticleDOI

Operation, Control, and Applications of the Modular Multilevel Converter: A Review

TL;DR: A general overview of the basics of operation of the MMC along with its control challenges are discussed, and a review of state-of-the-art control strategies and trends is presented as mentioned in this paper.
Journal ArticleDOI

Indirect Finite Control Set Model Predictive Control of Modular Multilevel Converters

TL;DR: A modified switching strategy is introduced, which not only reduces the calculation burden of the FCS-MPC strategy even more, but also simplifies the SM capacitor voltage balancing algorithm.
Journal ArticleDOI

Multivariable-PI-Based $dq$ Current Control of Voltage Source Converters With Superior Axis Decoupling Capability

TL;DR: This paper presents a linear direct-quadrature current control strategy for voltage source converters (VSCs) in a rotating reference frame (RRF) based on multivariable-proportional-integral regulators and provides fast dynamics and a zero steady-state error.
Journal ArticleDOI

Vector Control of Single-Phase Voltage-Source Converters Based on Fictive-Axis Emulation

TL;DR: In this paper, the authors proposed an alternative way for the current regulation of single-phase voltage-source dc-ac converters in direct-quadrature (dq) synchronous reference frames.
Proceedings ArticleDOI

Vector control of single-phase voltage source converters based on Fictive Axis Emulation

TL;DR: In this article, an alternative way for controlling the current of single-phase voltage source dc-ac inverters in a dq synchronous reference frame is presented, referred to as Fictive Axis Emulation (FAE), which effectively improves the poor dynamics of the conventional approaches while does not add excessive complexity to the controller structure.