[Oral Presentation]Topology Identification Method of Low-voltage Distribution Network Based on Improved Pearson Correlation Coefficient Method - 2nd China International Youth Conference on Electrical Engineering (CIYCEE 2021)

Topology Identification Method of Low-voltage Distribution Network Based on Improved Pearson Correlation Coefficient Method

ID：85 Submission ID：328 View Protection：ATTENDEE Updated Time：2021-12-03 10:36:35 Hits：559 Oral Presentation

Start Time：2021-12-17 10:30 （Asia/Shanghai）

Duration：15min

Session：[C] Power system and automation » [C6] Session 33

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Abstract

传统的低压网络拓扑识别主要依靠人工研究，存在成本高、识别效率低等问题。因此，本文提出了一种基于改进Pearson相关系数法的低压配电网拓扑识别方法。首先，利用卡尔曼滤波对采集到的电压数据序列进行滤波，突出了数据特征，为相关系数的计算铺平了道路。然后，计算出需要判断的所有单元之间的Pearson相关系数。最后，根据设定的系数阈值，对站点区域进行识别。与现有的方法相比，该方法可以利用有限的数据准确地识别用户的站点区域，具有较高的精度和较好的实用性。基于MATLAB/SIMULINK，建立了典型的站区13节点拓扑网络，验证了该方法的有效性。

Keywords

Kalman filter,Low-voltage distribution network,Matlab,Pearson correlation coefficient,Topology identification

Speaker

Bin Zhang

Digital Grid Research Institute； China Southern Power Grid

Submission Author

Liwen Qin Electric Power Research Institute;Guangxi Power Grid

Weixiang Huang Electric Power Research Institute;Guangxi Power Grid

Zhicheng Guo Digital Grid Research Institute of China Southern Power Grid

Yangjun Zhou Electric Power Research Institute;Guangxi Power Grid.

Bin Zhang Digital Grid Research Institute； China Southern Power Grid

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