Optimized GDPWM based on Spontaneous Evolutionary GA for reducing switching losses on inverter

O. Qudsi, N. Windarko, A. Priyadi, M. Purnomo
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引用次数: 6

Abstract

This paper presents analytical techniques for reducing switching losses of voltage source inverter (VSI) using Generalized Discontinuous PWM (GDPWM). The switching losses of inverter is influenced by the angle on the modulation of GDPWM. This problem will be optimized using a new optimization method. This method is called as Spontaneous Evolutionary GA (SEGA). The inverter switching losses is formulated as objective function to optimize the angle. At this optimization process, angle values will be determined to minimize the inverter switching losses. Thermal module of Power Simulator (PSIM) is used to verify the optimized angle of GDPWM. The simulation was performed using a three-phase voltage source inverter (VSI) and an inductive load. Simulation results confirm the method could minimize the losses of inverter.
基于自发进化遗传算法的优化GDPWM降低逆变器开关损耗
本文介绍了利用广义间断PWM (GDPWM)降低电压源逆变器开关损耗的分析技术。逆变器的开关损耗受GDPWM调制角度的影响。本文将采用一种新的优化方法对该问题进行优化。这种方法被称为自发进化遗传算法(SEGA)。将逆变器开关损耗作为优化角度的目标函数。在此优化过程中,将确定角度值以使逆变器的开关损耗最小。利用功率模拟器(PSIM)的热模块验证了GDPWM的优化角度。仿真采用三相电压源逆变器(VSI)和电感负载进行。仿真结果表明,该方法可以最大限度地降低逆变器的损耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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