Optimal Design of Passive Power Filter Based on Digital Calculation

YANG Tao; CHEN Gan; ZHANG Hengyu; LI Pengfei

doi:10.14044/j.1674-1757.pcrpc.2018.02.022

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Optimal Design of Passive Power Filter Based on Digital Calculation

更新时间：2024-09-14

- Optimal Design of Passive Power Filter Based on Digital Calculation
- POWER CAPACITOR & REACTIVE POWER COMPENSATION Vol. 39, Issue 2, Pages: 115-118(2018)
- 作者机构：
  
  西安西电电力系统有限公司
- 作者简介：
- 基金信息：
- DOI：10.14044/j.1674-1757.pcrpc.2018.02.022
  CLC： TM761
- Published：2018，
- 稿件说明：
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[1]杨涛,陈干,张恒禹,李鹏飞.基于数字化计算的无源滤波器的优化方法[J].电力电容器与无功补偿,2018,39(02):115-118.

YANG TAO, CHEN GAN, ZHANG HENGYU, et al. Optimal Design of Passive Power Filter Based on Digital Calculation. [J]. Power capacitor & reactive power compensation, 2018, 39(2): 115-118.
[1]杨涛,陈干,张恒禹,李鹏飞.基于数字化计算的无源滤波器的优化方法[J].电力电容器与无功补偿,2018,39(02):115-118. DOI： 10.14044/j.1674-1757.pcrpc.2018.02.022.

YANG TAO, CHEN GAN, ZHANG HENGYU, et al. Optimal Design of Passive Power Filter Based on Digital Calculation. [J]. Power capacitor & reactive power compensation, 2018, 39(2): 115-118. DOI： 10.14044/j.1674-1757.pcrpc.2018.02.022.

摘要

本文主要介绍一种结合优化算法和仿真分析优点的无源滤波器的设计方法。此方法基于作者编写的程序控制Matlab Simulink滤波仿真模型

实现模型中滤波器电容与电感参数的自动修正以及仿真结果的自动评估

从而得到最优的滤波器设计。这种方法可以充分利用计算机仿真分析的能力

省去了传统方法中复杂的计算

并且通过简单修改可以应用于多种类型的滤波器设计。

Abstract

In this paper

the design method of a passive filter is mainly introduced

which combines the advantages of the optimization algorithm and the simulation analysis. This method is based on the program written by the author

which controls the Matlab Simulink model of filter. It can automatically modify the capacitance and inductance parameters of the filter

and evaluate the simulation results. Using the computing power of the computer

the complex calculation in the traditional method is simplified. This method has the advantages of simple use

fast operation

and can be applied to a variety of filter type design by simple modification.

关键词

无源电力滤波器Matlab Simulink仿真遗传算法优化设计

Keywords

passive power filterMatlab Simulink simulationgenetic algorithmoptimal design

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Related Institution

College of Electrical and Information Engineering, Beihua University

郑州450004

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