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多元非线性用户交互影响下谐波责任量化方法

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作者:常潇, 张世锋, 王金浩

作者单位:国网山西省电力公司电力科学研究院,山西 太原 030001


关键词:多元用户交互影响;谐波责任量化;谐波阻抗;稀疏分量法


摘要:

现代电力系统呈现出多元非线性用户交互影响的特性,使得背景谐波波动加剧。加之新型电力电子设备的广泛接入使各谐波源之间的谐波发射特性具有一定的关联性,谐波责任量化问题的求解迎来新的挑战。为此,提出一种基于稀疏分量法的谐波责任量化方法,通过小波包变换生成稀疏字典,将其同时作用于源信号与观测信号以使源信号稀疏化,并使测得谐波电压电流信号呈现线性聚类特性。利用聚类直线斜率可计算谐波阻抗,进而量化谐波责任。该方法在背景谐波波动剧烈且各谐波源不再独立的情况下,仍具有较高的计算准确度。系统侧谐波阻抗计算误差可被控制在±10%之内,满足工程应用需求。仿真分析与实际工程案例验证所提方法的可行性。


Harmonic responsibility quantification method under the background of multiple nonlinear customers interaction
CHANG Xiao, ZHANG Shifeng, WANG Jinhao
State Grid Shanxi Electric Power Research Institute, Taiyuan 030001, China
Abstract: The modern power system presents the characteristics of multiple nonlinear customers interaction, which aggravates the harmonic pollution. Besides, the wide access of new power electronic equipment makes the harmonic emission characteristics of each harmonic source have certain relevance. As a result, the solution of harmonic responsibility quantification is facing new challenges. In this paper, a sparse component analysis-based method is proposed to solve this problem. The sparse dictionary is generated by wavelet packet transform and applied to the source and the observation signals at the same time. The sparse dictionary makes the source signals sparse, and makes the measured harmonic voltage and current signals present linear clustering characteristics. The slope of the clustering line can be used to calculate the harmonic impedance, and then the harmonic responsibility can be quantified. The proposed method can ensure a high calculation accuracy even when background harmonics fluctuate greatly and each harmonic source is no longer independent. The calculation errors of the utility harmonic impedance can be controlled within ±10%, which meets the needs of engineering applications. The feasibility of the proposed method is verified by simulation analysis and practical engineering cases.
Keywords: multi customers interaction;quantification of harmonic responsibility;harmonic impedance;sparse component analysis
2022, 48(4):95-101  收稿日期: 2020-10-07;收到修改稿日期: 2020-12-28
基金项目: 国家电网公司总部科技项目资助(202024211A)
作者简介: 常潇(1987-),男,山西晋中市人,高级工程师,博士,研究方向为电能质量
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