考虑背景谐波电压变化的多谐波源谐波责任划分

WANG Yu

您当前的位置：

首页 >

文章列表页 >

考虑背景谐波电压变化的多谐波源谐波责任划分

更新时间：2025-08-13

- 考虑背景谐波电压变化的多谐波源谐波责任划分
- Automation of Electric Power Systems Vol. 39, Issue 18, Pages: 55-61(2015)
- 作者机构：
  
  西南交通大学电气工程学院,四川省,成都市,610031
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2015
- 稿件说明：
移动端阅览
WANG Yu. [J]. Automation of electric power systems, 2015, 39(18): 55-61.
DOI：

WANG Yu. [J]. Automation of electric power systems, 2015, 39(18): 55-61. DOI：

摘要

提出了一种考虑背景谐波电压变化的多谐波源谐波责任划分方法。首先

利用主导波动量法估算出系统侧谐波阻抗

然后根据背景谐波电压的波动情况

采用均值漂移算法对背景谐波电压数据进行聚类处理

按照电压值分为不同的数据段。最后

利用偏最小二乘法计算各个数据段谐波责任

加权求和得到关注时间段的谐波责任。为验证方法的有效性

分别在实验电路和IEEE 13节点测试系统上进行仿真分析

结果表明

所提方法提高了谐波责任划分的准确度

能有效克服背景谐波电压变化对责任划分的影响。

Abstract

A harmonic contribution partiton method of multiple harmonic sources considering the fluctuation of the background harmonic voltage is proposed. First

the system harmonic impedance is estimated by the dominant fluctuation filtering principle. Secondly

the background harmonic voltage is clustered and divided into different data segments by the mean shift algorithm according to the fluctuation of the background harmonic voltage. Finally

the harmonic contribution of each segment is estimated by the partial least squares method

and its harmonic weighted sum is calculated to obtain the final harmonic contribution. The method proposed is tested on an experimental circuit and an IEEE 13-bus test system. The results show that the method proposed is able to improve the accuracy of harmonic contribution partition

and effectively overcome the influence of background harmonic voltage fluctuation on harmonic contribution partition. This work is supported by National Natural Science Foundation of China (No. 51407150

No. 51307146) and Specialized Research Fund for the Doctoral Program of Higher Education (SRFDP) of China (No. 2013018410002).

关键词

Keywords

references

Views

2154

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Efficient Capacity Planning Method for Demand-side Energy Storage Based on Scenario Linearization Reconfiguration

Identification of Low-voltage User Meter Box Combined with Known Phase and Address Information

Load-stratified Probability Forecasting for Massive Users Considering Cluster Identification

A Responsibility Quantification Method of Distributed Multiple Harmonic Sources Without Solving Harmonic Transfer Impedance

适用于海量负荷数据分类的高性能反向传播神经网络算法

Related Author

ZHANG Qingyuan

MA Jianjun

ZHU Miao

WEN Shuli

JIANG Sheng

Huanlei YU

Lübin MA

Li YAO

Related Institution

Energy Co., Ltd., Shenyang

College of Smart Energy, Shanghai Jiao Tong University

Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education(Shanghai Jiao Tong University)

School of Automation, Hangzhou Dianzi University

Zhejiang Huayun Information Science and Technology Co., Ltd.

⁰