基于奇异值分解理论的谐波放大分析方法

LI Yang

您当前的位置：

首页 >

文章列表页 >

基于奇异值分解理论的谐波放大分析方法

更新时间：2025-08-13

- 基于奇异值分解理论的谐波放大分析方法
- Automation of Electric Power Systems Vol. 41, Issue 8, Pages: 16-21(2017)
- 作者机构：
  
  湖南大学电气与信息工程学院,湖南省,长沙市,410082
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2017
- 稿件说明：
移动端阅览
LI Yang. [J]. Automation of electric power systems, 2017, 41(8): 16-21.
DOI：

LI Yang. [J]. Automation of electric power systems, 2017, 41(8): 16-21. DOI：

摘要

电网中的谐波危害十分严重

随着网络结构日趋复杂化

因谐振造成的谐波污染问题变得更加突出。为了更好地研究分析电网谐振规律

提出一种基于奇异值分解理论的谐波放大分析方法。该方法通过提取谐波源与响应之间传递函数矩阵中的关键信息

获取网络中节点电压和支路电流的谐波放大规律。理论分析和算例分析结果验证了所提出的谐波放大分析方法的有效性。

Abstract

Harmonics cause serious harm to the power grid. As the network structure becomes more complex

problems of harmonic pollution brought about by resonance have been increasingly highlighted. In order to gain an insight into the resonance in the network

this paper presents an analytic method of harmonic amplification based on the singular value decomposition theory. The main information on the transfer function matrix between harmonic excitations and responses is extracted

which can be used to investigate the characteristics of the node voltage and branch current harmonic amplification in the grid. The theoretical analysis and the results of case studies have verified the effectiveness of the proposed method. This work is supported by National Natural Science Foundation of China(No. 51622702).

关键词

Keywords

references

Views

4456

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Dynamic State Estimation for Distribution Network with Photovoltaic Based on Improved Cubature Kalman Filter

Harmonic Interaction Analysis Method for AC Distributed Parallel System with Multiple Inverters

Optimal Construction Method for Advanced Metering Infrastructure of Power Grid Based on Multi-dimensional Compressed Sensing

Optimal Maximum Capacity Allocation Method for Multi-infeed Renewable Energy Cluster Based on Sensitivity Collaboration

Related Author

WANG Juanjuan

LIAO Fangqun

LIU Hang

WANG Xuemei

YE Baixian

BI Tianshu

WANG Ziwei

LIU Hao

Related Institution

EHV Power Transmission Company of China Southern Power Grid Co., Ltd.

School of Electric Power, South China University of Technology

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University)

School of Electrical Engineering, China University of Mining and Technology

School of Electrical Automation and Information Engineering, Tianjin University

⁰