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

作者：Hosseini Seyed Mohsen; Beromi Yousef Alinejad

来源：Journal of Electrical Engineering, 2016, 67(5): 358-364.

DOI：10.1515/jee-2016-0051

<jats:title>Abstract</jats:title>
<jats: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.</jats:p>

• 出版日期2016-9