Estimation Method of Line Parameters in Distribution Network Based on Multi-source Data and Multi-time Sections

被引：0
|
作者：
Liu A. [1 ]
Li Y. [1 ]
Xie W. [2 ]
Yang C. [1 ]
Wang S. [1 ]
Shi Z. [2 ]
机构：
[1] State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan
[2] State Grid Shanghai Municipal Electric Power Company, Shanghai
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2021年 / 45卷 / 02期
关键词：
Distribution network; Micro-synchronous phasor measurement unit (μPMU); Multi-source data fusion; Parameter estimation;
D O I：
10.7500/AEPS20200621001
中图分类号：
学科分类号：
摘要：
Based on the micro-synchronous phasor measurement unit (μPMU) that can be deployed on a large scale, the characteristics of various measurement systems at this stage are analyzed, and a parameter estimation method of lines in distribution networks based on multiple source data and multiple time sections is proposed. In this method, the fast sampling speed of μPMU is used for the fusion of measurement data based on multiple time sections, and the precise time stamp of μPMU is used for the aligment of mixed measurement data at the same time section. The measurement equations of μPMU, supervisory control and data acquisition (SCADA) and advanced metering infrastructure (AMI) with multiple time sections are jointly established. If the equations are independent of each other, the least square method parameter estimation is performed. The parameter estimation model is constructed for the typical backbone/branch line mode of the distribution network. Through the IEEE 33-bus distribution network simulation example, the application of parameter estimation under various measurement configurations are analyzed to prove the effectiveness of the proposed method. © 2021 Automation of Electric Power Systems Press.
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页码：46 / 54
页数：8
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