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基于盲源分离的工业谐波源负荷分类识别方法

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针对传统谐波源辨识方法无法实现工业用户谐波源具体类型的非侵入式识别的问题,该文提出一种基于盲源分离的工业谐波源负荷分类识别方法。该方法仅依据工业用户进线处电压、电流数据即可实现谐波源负荷具体类型的非侵入式识别。首先,从负荷等值阻抗模型入手,建立工业用户多负荷等值阻抗并联电路模型;其次,采用集合经验模态分解与奇异值分解相结合的方法确定构成用户进线处监测点综合等值阻抗信号的源阻抗信号数目;然后,采用快速独立分量分析实现将谐波源负荷等值阻抗信号从综合负荷等值阻抗信号中分离;最后,将分离出谐波源负荷等值阻抗信号频率特征与典型谐波源负荷进行匹配,进而实现分类识别。仿真与实测实验结果均表明,所提方法能够准确识别工业用户所含多种谐波源负荷的具体类型,具有较好的可行性和实用性。
Industrial Harmonic Source Load Classification and Identification Method Based on Blind Source Separation
The traditional harmonic source identification method cannot solve the problem of non-intrusive identification of specific types of harmonic sources for industrial users.To solve the above problem,this paper proposes a method for identifying industrial harmonic source load subtypes based on blind source separation.This method facilitates non-intrusive identification of the specific type of harmonic source load,solely relying on the voltage and current data collected at the industrial customer's incoming line.First,starting from the load equivalent impedance model,a parallel circuit model with multiple load equivalent impedances for industrial users is established.Next,ensemble empirical mode decomposition and singular value decomposition are combined to determine the number of source impedance signals that constitute the integrated equivalent impedance signal of the monitoring points at the user's incoming line.Then,the fast independent component analysis is used to separate the harmonic source load equivalent impedance signal from the integrated equivalent impedance signal.Finally,the frequency characteristics of the separated harmonic source load equivalent impedance signal are matched with the typical harmonic source load,and then the subtype identification is realized.Both simulation and actual cases show that the proposed method can accurately identify the specific types of multiple harmonic source loads contained in industrial users,which obviously demonstrates its feasibility and practical applicability.

harmonic source identificationload equivalent impedanceblind source separationsource number estimation

张逸、陈书畅、刘必杰、林才华

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福州大学电气工程与自动化学院,福建省 福州市 350108

国网福建省电力公司电力科学研究院,福建省 福州市 350108

谐波源识别 负荷等值阻抗 盲源分离 源信号数目估计

国家自然科学基金

51777035

2024

中国电机工程学报
中国电机工程学会

中国电机工程学报

CSTPCD北大核心
影响因子:2.712
ISSN:0258-8013
年,卷(期):2024.44(10)
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