Harmonic contribution assessment considering measurement error

被引：0
|
作者：
Wang L. [1 ]
Xiao X. [1 ]
Zhang Y. [2 ]
Huang Y. [1 ]
Liu Y. [1 ]
机构：
[1] College of Electrical Engineering and Information Technology, Sichuan University, Chengdu, 610065, Sichuan Province
[2] State Grid Fujian Electric Power Company Electric Power Research Institute, Fuzhou, 350003, Fujian Province
来源：
Dianwang Jishu/Power System Technology | 2016年 / 40卷 / 12期
关键词：
Harmonic contribution; Improved complex maximization of non-Gaussianity; Measurement error; Noisy complex blind source separation;
D O I：
10.13335/j.1000-3673.pst.2016.12.032
中图分类号：
O24 [计算数学];
学科分类号：
070102 ;
摘要：
Conventional methods based on harmonic impedance for harmonic contribution assessment highly depend on measurement accuracy. Measurement error will reduce accuracy of assessment results and influence effectiveness of harmonic responsibility sharing and mitigating. By analyzing influence mechanism of measurement error on harmonic contribution, based on noisy complex blind source separation (NCBSS), this paper presents an assessment model of harmonic contribution considering measurement error and studies assessment algorithm based on improved complex maximization of non-Gaussianity (CMN). The improved algorithm eliminates measurement error influence by preprocessing measurement data and then harmonic source and impedance matrix are assessed with conventional CMN. Contributionsof harmonic sources to harmonic vector and scalar at observing point then can be assessed. The proposed method is validated with simulation and measurement data and compared with current methods. Assessment results prove that the proposed method can suppress influence of measurement error, improve accuracy of harmonic contribution assessment and provide reference for harmonic mitigation. © 2016, Power System Technology Press. All right reserved.
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收藏
页码：3865 / 3870
页数：5
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