@inproceedings{d627577a08af4dd3897b0b591934efaf,
title = "Optimum number of cascaded multilevel inverters for high-voltage applications based on Pareto analysis",
abstract = "High power megawatt (MW) scale drives and power supplies are becoming more prevalent in industrial applications due in part to the development of the Cascaded Multilevel Inverter (CMI) topology. This paper examines the selection of the number of levels for a particular application by using Pareto efficiency analysis to optimize the number of cells with respect to cost, quality, and reliability. This study has been accomplished by designing a general Model Predictive Control (MPC) as a feedback controller which can be employed for any number of levels. MPC is used in the evaluation of the performance metrics to ensure that each design operates optimally. A discrete-time model of the CMI along with a model of the load is used to predict the future behavior of the inverter output currents. The MPC controller uses that prediction along with a set of multi-objective control variables all in one cost function to produce the optimal switching signals. Three-phase AC output current and common mode voltage (CMV) are considered together when designing the controller. MATLAB simulations are presented to validate and implement these concepts.",
keywords = "Cascaded Multilevel Inverter, DC-AC power conversion, Model Predictive Control, Pareto analysis",
author = "Ahmad Bashaireh and Mostafa Mosa and Balog, {Robert S.} and Haitham Abu-Rub",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Texas Power and Energy Conference, TPEC 2017 ; Conference date: 09-02-2017 Through 10-02-2017",
year = "2017",
month = mar,
day = "1",
doi = "10.1109/TPEC.2017.7868286",
language = "English",
series = "2017 IEEE Texas Power and Energy Conference, TPEC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2017 IEEE Texas Power and Energy Conference, TPEC 2017",
address = "United States",
}