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[5, 2016] 

Journal of Electrical Engineering, Vol 67, 5 (2016) 358-364 DOI: 10.1515/jee-2016-0051

A MULTI-OBJECTIVE OPTIMIZATION FOR PERFORMANCE IMPROVEMENT OF THE Z-SOURCE ACTIVE POWER FILTER

Seyed Mohsen Hosseini – Yousef Alinejad Beromi

   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.

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


[full-paper]


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