<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The high power dissipation is one of the most important problems of the z-source inverter (ZSI). By using an appropriate optimization scheme, the losses can be significantly reduced without any negative impact on the other characteristics of the inverter. In this paper, a multi-objective optimization is implemented in order to reduce the ZSI total losses as well as to improve the z-source active power filter (APF) performance. The optimization is focused on the four important objectives including power losses of the Z-source APF, the initial cost of the system components, the voltage and current ripples, and the boost factor of the z-source network. For these purposes, the multi-objective genetic algorithm (MOGA) is employed. The numerical and simulation results are presented to evaluate the optimization performance. The results show that a good balance can be achieved between the switching power losses, the voltage-current ripple levels, the component costs and the boost factor using the optimized parameters.</p></abstract>

The high power dissipation is one of the most important problems of the z-source inverter (ZSI). By using an appropriate optimization scheme, the losses can be significantly reduced without any negative impact on the other characteristics of the inverter. In this paper, a multi-objective optimization is implemented in order to reduce the ZSI total losses as well as to improve the z-source active power filter (APF) performance. The optimization is focused on the four important objectives including power losses of the Z-source APF, the initial cost of the system components, the voltage and current ripples, and the boost factor of the z-source network. For these purposes, the multi-objective genetic algorithm (MOGA) is employed. The numerical and simulation results are presented to evaluate the optimization performance. The results show that a good balance can be achieved between the switching power losses, the voltage-current ripple levels, the component costs and the boost factor using the optimized parameters.

A Multi–Objective Optimization for Performance Improvement of the Z–Source Active Power Filter

Department of Electrical Engineering, Semnan University, Semnan,

Journal of Electrical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The high power dissipation is one of the most important problems of the z-source inverter (ZSI). By using an appropriate optimization scheme, the losses can be...

A Multi–Objective Optimization for Performance Improvement of the Z–Source Active Power Filter

Online veröffentlicht: 02. Nov. 2016

Seitenbereich: 358 - 364

Eingereicht: 23. Dez. 2015

DOI: https://doi.org/10.1515/jee-2016-0051

Schlüsselwörter
active power filters, Z-source inverter, switching loss, parameter optimization, multi-objective genetic algorithms

© 2016 Faculty of Electrical Engineering and Information Technology, Slovak University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

A Multi–Objective Optimization for Performance Improvement of the Z–Source Active Power Filter

Online veröffentlicht: 02. Nov. 2016

Seitenbereich: 358 - 364

Eingereicht: 23. Dez. 2015

DOI: https://doi.org/10.1515/jee-2016-0051

Schlüsselwörteractive power filters, Z-source inverter, switching loss, parameter optimization, multi-objective genetic algorithms

© 2016 Faculty of Electrical Engineering and Information Technology, Slovak University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
active power filters, Z-source inverter, switching loss, parameter optimization, multi-objective genetic algorithms