融合时-频域多源数据的低压配网拓扑识别研究

金阳忻; 徐永进; 胡书红

doi:10.19912/j.0254-0096.tynxb.2024-1044

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (10) : 487-500. DOI: 10.19912/j.0254-0096.tynxb.2024-1044

融合时-频域多源数据的低压配网拓扑识别研究

金阳忻, 徐永进, 胡书红

作者信息 +

LOW VOLTAGE DISTRIBUTION TOPOLOGY IDENTIFICATION METHOD BASED ON TIME-FREQUENCY DOMAIN MULTI-SOURCE DATA FUSION

Jin Yangxin, Xu Yongjin, Hu Shuhong

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文章历史 +

摘要

结合400 V级低压配电网（以下简称配网）树状拓扑结构特点,利用电参量数据相关性分析了常用配网拓扑识别方法的基本原理及其缺陷。提出融合时-频域多源数据的低压配网拓扑识别方法,由两个环节组成：1）前馈环节,通过改进谱聚类算法逐层聚类包含时、频域维度的节点电压数据。为方便计算上级分支点对应的节点电压向量,藉由簇内节点集的变换群特征,设计了用于区分簇拓扑类型（辐射型或干线型）的有限域神经网络;2）反馈环节,在被前馈环节压缩的解空间内,基于有功功率平衡原理检验和修正可疑节点,该闭环识别框架可提升结果的准确性及对复杂拓扑的适应性。最后,以国网浙江公司3个具有典型拓扑的居民/工商业试点台区作为算例,对比几类常用配网拓扑识别方法,所提方法的优势得到验证。

Abstract

As the basis of transformer range lean management, the precision of distribution （for short of 400V distribution） user-branch-distribution transformer topology draws more attention. Based on the characteristics of distribution tree topology, the principles and defects of current distribution topology identification methods were analyzed with the correlation among electrical parameters. A novel distribution topology identification method based on time-frequency domain data fusion was proposed, which consists of two links： 1） Forward link. Spectrum clustering algorithm was modified to cluster node voltages including fundamental and harmonic domains level by level.Furthermore, in order to calculate the node voltage vector corresponding to the upper level topology branches, a Confined-field Neural Network was devised, which is able to discriminate the topology type （radiation or trunk） via cluster node transformation group features. 2） Backward link. In the solution space compressed by the forward link, the active power balance principle was utilized to check and correct the suspicious nodes. Such closed loop identification framework possesses promoted result precision and sophisticated topology applicability. Finally,3 residential/commercial and industrial pilot transformer range with typical topology in State Grid Zhejiang Company were selected as examples. The proposed method was paralleled with several current distribution topology identification methods, with its advantages verified.

导出引用

金阳忻, 徐永进, 胡书红. 融合时-频域多源数据的低压配网拓扑识别研究[J]. 太阳能学报. 2025, 46(10): 487-500 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1044

Jin Yangxin, Xu Yongjin, Hu Shuhong. LOW VOLTAGE DISTRIBUTION TOPOLOGY IDENTIFICATION METHOD BASED ON TIME-FREQUENCY DOMAIN MULTI-SOURCE DATA FUSION[J]. Acta Energiae Solaris Sinica. 2025, 46(10): 487-500 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1044

中图分类号： TM72

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