Optimum number of cascaded multilevel inverters for high-voltage applications based on Pareto analysis

Ahmad Bashaireh, Mostafa Mosa, Robert Balog, Haitham Abu-Rub

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publication2017 IEEE Texas Power and Energy Conference, TPEC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509066179
DOIs
Publication statusPublished - 1 Mar 2017
Event2017 IEEE Texas Power and Energy Conference, TPEC 2017 - College Station, United States
Duration: 9 Feb 201710 Feb 2017

Other

Other2017 IEEE Texas Power and Energy Conference, TPEC 2017
CountryUnited States
CityCollege Station
Period9/2/1710/2/17

Fingerprint

Model predictive control
Controllers
Electric potential
Cost functions
MATLAB
Industrial applications
Topology
Feedback
Costs

Keywords

  • Cascaded Multilevel Inverter
  • DC-AC power conversion
  • Model Predictive Control
  • Pareto analysis

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology

Cite this

Bashaireh, A., Mosa, M., Balog, R., & Abu-Rub, H. (2017). Optimum number of cascaded multilevel inverters for high-voltage applications based on Pareto analysis. In 2017 IEEE Texas Power and Energy Conference, TPEC 2017 [7868286] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TPEC.2017.7868286

Optimum number of cascaded multilevel inverters for high-voltage applications based on Pareto analysis. / Bashaireh, Ahmad; Mosa, Mostafa; Balog, Robert; Abu-Rub, Haitham.

2017 IEEE Texas Power and Energy Conference, TPEC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7868286.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bashaireh, A, Mosa, M, Balog, R & Abu-Rub, H 2017, Optimum number of cascaded multilevel inverters for high-voltage applications based on Pareto analysis. in 2017 IEEE Texas Power and Energy Conference, TPEC 2017., 7868286, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE Texas Power and Energy Conference, TPEC 2017, College Station, United States, 9/2/17. https://doi.org/10.1109/TPEC.2017.7868286
Bashaireh A, Mosa M, Balog R, Abu-Rub H. Optimum number of cascaded multilevel inverters for high-voltage applications based on Pareto analysis. In 2017 IEEE Texas Power and Energy Conference, TPEC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7868286 https://doi.org/10.1109/TPEC.2017.7868286
Bashaireh, Ahmad ; Mosa, Mostafa ; Balog, Robert ; Abu-Rub, Haitham. / Optimum number of cascaded multilevel inverters for high-voltage applications based on Pareto analysis. 2017 IEEE Texas Power and Energy Conference, TPEC 2017. Institute of Electrical and Electronics Engineers Inc., 2017.
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