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Switching harmonic suppression design based on multi-objective optimization algorithm with constraint processing
COMPEL ( IF 0.7 ) Pub Date : 2020-07-13 , DOI: 10.1108/compel-12-2019-0489
Songtao Huang , Jie Ye , Haozhe Wang , Baojin Li , Anwen Shen , Junli Deng

Purpose

Traditional switching harmonic suppressor design methods require domain experts to adjust design parameters due to various complex performance requirements and practical limitations in switching ripple suppressor designs. The purpose of this paper is to present a method for filter parameter design.

Design/methodology/approach

An improved non-dominated sorting genetic algorithm II (NSGA II) was used in the inductor-capacitor-inductor (LCL) filter design to find the optimal design parameters, and a method was proposed to handle the constraints by transforming the them into decision variables.

Findings

The performance of the proposed algorithm in parameter designing was verified by simulation on MATLAB and experimental results on hardware-in-the-loop plat-form with StarSim software. The results indicate that the optimization algorithm has a better effect than the traditional expert parameters on each optimization index, especially on the switching harmonic suppression.

Originality/value

The paper presents an improved multi-objective optimization algorithm with ingenious constraints handing to obtain better filter parameters and reduces switching harmonics.



中文翻译:

基于带约束处理的多目标优化算法的开关谐波抑制设计

目的

由于各种复杂的性能要求和开关纹波抑制器设计的实际限制,传统的开关谐波抑制器设计方法要求领域专家调整设计参数。本文的目的是提出一种滤波器参数设计的方法。

设计/方法/方法

一种改进的非支配排序遗传算法II(NSGA II)被用于电感-电容-电感(LCL)滤波器设计中,以寻找最佳设计参数,并提出了一种将约束转化为决策变量的方法来处理约束。 。

发现

通过在MATLAB上的仿真以及在StarSim软件在硬件在环平台上的实验结果,验证了该算法在参数设计中的性能。结果表明,该优化算法在每个优化指标上,特别是在开关谐波抑制方面,效果优于传统专家参数。

创意/价值

本文提出了一种改进的多目标优化算法,该算法具有巧妙的约束处理能力,可以获得更好的滤波器参数并减少了开关谐波。

更新日期:2020-08-21
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