柔性直流输电用子模块电容器电容值在线获取方法

潘亮; 陈世瑛; 张健; 刘源; 刘琛硕; 汲胜昌; 祝令瑜

doi:10.7652/xjtuxb201906021

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柔性直流输电用子模块电容器电容值在线获取方法

更新时间：2025-07-09

- 柔性直流输电用子模块电容器电容值在线获取方法
- Online Monitoring Method of Capacitance Value of Sub-Module for Flexible High Voltage Direct Current Using Adaptive Filter
- 西安交通大学学报 2019年53卷第6期页码：161-168
- 作者机构：
- 作者简介：
- 基金信息：
  
  : 2018-11-06。作者简介: 潘亮(1995—),男,硕士生;祝令瑜(通信作者),男,副教授。基金项目: 陕西省自然科学基金资助项目(2017JM5005)
- DOI：10.7652/xjtuxb201906021
  中图分类号： TM536;TM930.12
- 网络首发：2019-06-10，
  
  纸质出版：2019
- 稿件说明：
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潘亮, 陈世瑛, 张健, 等. 柔性直流输电用子模块电容器电容值在线获取方法[J]. 西安交通大学学报, 2019,53(6):161-168.

Online Monitoring Method of Capacitance Value of Sub-Module for Flexible High Voltage Direct Current Using Adaptive Filter[J]. 2019, 53(6): 161-168.
潘亮, 陈世瑛, 张健, 等. 柔性直流输电用子模块电容器电容值在线获取方法[J]. 西安交通大学学报, 2019,53(6):161-168. DOI： 10.7652/xjtuxb201906021.

Online Monitoring Method of Capacitance Value of Sub-Module for Flexible High Voltage Direct Current Using Adaptive Filter[J]. 2019, 53(6): 161-168. DOI： 10.7652/xjtuxb201906021.

摘要

针对柔性直流输电系统中模块化多电平换流器(MMC)子模块电容器常常会老化失效

威胁系统安全的问题

以监测MMC子模块电容器状态为目标

提出了一种采用自适应滤波器的柔性直流输电用子模块电容器电容值的在线获取方法。首先

利用实时反馈到控制系统的子模块电压和桥臂电流信息

基于离散化处理后的电容器电压、电流以及电容值的关系

实时计算得到电容器电容值; 然后

引入自适应滤波技术滤除计算结果的噪声

得到最终电容值的计算结果。利用Simulink仿真平台和阀段试验平台实测数据对所提计算方法进行了验证。验证结果表明

最终的电容值计算结果始终稳定在真值附近

当电压电流测量的不确定度小于1%时

可以保证计算结果误差小于0.5%

能够满足子模块电容器状态监测的需求。

Abstract

An online monitoring method of capacitance value of sub-module for flexible high voltage direct current(HVDC)transmission system using adaptive filter is proposed to solve the problem that the sub-module capacitors of modular multi-level converter(MMC)in the flexible HVDC system often age and fail

threatening the safety of the system

and to monitor the capacitor state. Firstly

the capacitor's capacitance value is calculated in real time based on the relationship among the capacitor's voltage

current and capacitance value after the discretization process

in which the information of the sub-module voltage and bridge arm current displayed in the control system in real time is used. Then an adaptive filtering technology is introduced to filter out the noises in calculation results to obtain the final capacitance value. The proposed calculation method is verified by using the measured data from a Simulink platform and a valve section test platform. The verification results show that the final capacitance values calculated are always stable around the true value. When the uncertainty of voltage and current measurement is less than 1%

the errors of calculation results are guaranteed to be less than 0.5%

which meets the requirement of sub-module capacitor condition monitoring.

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references

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