Estimation of Static Parameters Testability for Distribution Network Based on Monte Carlo Method

被引：0
|
作者：
Liu J. [1 ,2 ]
Chen L. [1 ]
Zhang Z. [1 ,2 ]
机构：
[1] School of Automation and Information Engineering, Xi'an University of Technology, Xi'an, 710048, Shaanxi Province
[2] State Grid Shaanxi Electric Power Research Institute, Xi'an, 710100, Shaanxi Province
来源：
Dianwang Jishu/Power System Technology | 2019年 / 43卷 / 09期
基金：
中国国家自然科学基金;
关键词：
Distribution network; Monte Carlo method; Parameter estimation; Static parameters; Testability analysis;
D O I：
10.13335/j.1000-3673.pst.2018.2765
中图分类号：
学科分类号：
摘要：
Confined by the number and location of measurement devices, estimation of static parameters for distribution network cannot determine all the parameters to be estimated uniquely. So it is necessary to analyze their testability. This paper proposed an estimation method of static parameters testability for distribution network based on Monte Carlo method. The static parameters to be estimated were set in a reasonable range randomly to obtain numerous randomly generated samples. For each sample, a measurement equation was established by selecting the measurement data of different time sections, and the non-linear least square method was used to estimate the parameters. The estimated parameters were compared with the randomly set parameters to calculate the mean value and variance of relative errors. The static parameters to be estimated in the distribution network could be identified effectively and the measurable degree of the distribution network could be calculated by comparing the final error index values with the prescribed threshold values. Results of case study showed that, the proposed method could identify the clear and uncertain parameters of distribution network effectively, and the identification results of clear parameters could be used for on-line dynamic monitoring and fault diagnosis of static parameters in distribution network. © 2019, Power System Technology Press. All right reserved.
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收藏
页码：3235 / 3240
页数：5
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