@inproceedings{41808ea36fcf4995b5682ff9cb0ce517,
title = "Indirect control of capacitor voltage ripple and circulating current in a modular multilevel converter",
abstract = "Model predictive control is a promising approach to control a multi-objective modular multilevel converter (MMC). In this approach, the control objectives of MMC are included in a single cost function and evaluated for all possible switching states by using weighting factors. The complexity of weighting factor selection process increases with the number of control objectives, and it affects the performance of MPC as well. To reduce the dependency on the weighting factors, a new model predictive control with zero-sequence voltage injection is proposed. With the proposed approach, some of the control objectives like reduction of submodule capacitor voltage ripple and circulating current can be achieved without using a cost function. The proposed approach also reduces the total harmonic distortion of the output voltage and current waveforms. The performance comparison of the proposed and existing MPC approach has been verified through MATLAB simulations on a three-level flying capacitor (3L-FC) based MMC system.",
keywords = "Circulating current (CC), Model predictive control (MPC), Modular multilevel converter (MMC), Submodule capacitor voltage ripple, Total harmonic distortion (THD)",
author = "Apparao Dekka and Bin Wu and Venkata Yaramasu and Beig, {Abdul R.} and Zargari, {Navid R.}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 ; Conference date: 20-10-2018 Through 23-10-2018",
year = "2018",
month = dec,
day = "26",
doi = "10.1109/IECON.2018.8591523",
language = "British English",
series = "Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3955--3960",
booktitle = "Proceedings",
address = "United States",
}