Robust parameter identification of distribution line based on micro PMU

被引：0
|
作者：
Xue A. [1 ]
Xu F. [1 ]
You H. [1 ,2 ]
Xu J. [1 ]
Martin K.E. [3 ]
Bi T. [1 ]
机构：
[1] State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing
[2] State Grid Shanghai Electric Power Company, Shanghai
[3] Electric Power Group, Pasadena, 91101, CA
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2019年 / 39卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Distribution lines; Huber estimation; Least squares algorithm; Median estimation; Micro PMU; Neutral grounding modes; Phase components method; Robust parameter identification;
D O I：
10.16081/j.issn.1006-6047.2019.02.001
中图分类号：
学科分类号：
摘要：
Micro PMU(Phasor Measurement Unit) provides the foundation for improving the observability and controllability of intelligent distribution network. A robust identification method for the distribution line parameters based on micro PMU is studied. Aiming at the asymmetric operation of three-phase distribution network,the three-phase π-type equivalent model of distribution lines based on phase component description is established,and then the line parameter identification method based on the LS(Least Squares) algorithm is proposed considering multiple sets of voltage and current phasor data at both ends of lines provided by micro PMUs,which is based on the phase component model and is suitable for asymmetrical operation of distribution network. And two robust estimation methods are introduced,one is HRLS(Huber estimation based Robust Least Squares) algorithm and the other is MRLS(Median estimation based Robust Least Squares) algorithm. In the system whose neutral point is grounded by arc suppression coil or low resistance,the proposed method only requires the voltage and current phasor at both ends of lines to identify the phase parameters and obtain the positive and zero sequence parameters of lines. In the neutral ungrounded system,the proposed methods can identify the positive sequence parameters of lines when the system is in normal operation since there is no zero sequence current component. The effectiveness of the proposed method is verified and the advantages and disadvantages of two robust methods in identification precision and computing time are compared by example simulation. Simulative results show that MRLS algorithm has better robust performance and less computing time. © 2019, Electric Power Automation Equipment Press. All right reserved.
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页码：1 / 7and43
页数：742
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