基于分布式传感网络的在线智能用电谐波源定位

发布时间：2018-05-07 21:09

本文选题：智能用电测量网络 + 谐波故障源定位　；参考：《仪器仪表学报》2017年01期

【摘要】：用电侧谐波源对用电电能质量的影响日益增大,在大规模智能用电网下谐波源辨识与定位问题对提高电能质量有重要作用。智能用电网络采用智能电表组成的分布式智能用电信息测量网络实现对大规模用电网络测量。谐波故障源定位可通过分布式网络化测量方法提高在线辨识精度。提出了基于相关信息树的分布式用电谐波源递归定位方法,提高了定位精度。对用电网络进行建模分析,在公共连接点的辨识采用独立分量分析方法提取故障源的信号,通过分布式测量节点的相关信息树确定多通道信号间的网络拓扑结构。搭建了面向智能用电的分布式测量网络平台,验证了提出的谐波源定位方法。实验结果表明提出的方法可实现全网络下的谐波源定位,并具有较好的实时性。
[Abstract]:The influence of power side harmonic source on power quality is increasing day by day. The problem of harmonic source identification and location under large-scale intelligent power network plays an important role in improving power quality. Intelligent power network uses distributed intelligent electricity information measurement network composed of intelligent meter to measure large scale power consumption network. Harmonic fault source location can improve the accuracy of online identification by distributed networked measurement. This paper presents a recursive localization method of distributed electric harmonic source based on correlation information tree, which improves the accuracy of the location. The electrical network is modeled and analyzed. The independent component analysis (ICA) method is used to extract the signal of the fault source in the common connection point identification, and the network topology between the multi-channel signals is determined by the related information tree of the distributed measurement node. A distributed measurement network platform for intelligent power consumption is built to verify the proposed harmonic source localization method. The experimental results show that the proposed method can realize harmonic source localization in the whole network and has good real-time performance.
【作者单位】：清华大学精密仪器系精密测试技术及仪器国家重点实验室;
【基金】：国家自然科学基金(61272428) 教育部博士点基金(20120002110067)项目资助
【分类号】：TM935;TN929.5;TP212.9

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