Monitoring node number selection and assessment method of voltage sag system index

被引：0
作者：
Xiao X. [1 ]
Tan Y. [1 ]
Hu W. [1 ]
Wang Y. [1 ]
机构：
[1] College of Electrical Engineering, Sichuan University, Chengdu
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2020年 / 40卷 / 10期
基金：
中国国家自然科学基金;
关键词：
Assessment method; Density biased sampling; Number of monitoring nodes; System index; Voltage sag;
D O I：
10.16081/j.epae.202009024
中图分类号：
学科分类号：
摘要：
Accurate evaluation of voltage sag level is the premise of understanding and improving voltage sag. Although IEEE Std 1564-2014 has provided recommendations for the calculation of voltage sag system index,considering that the actual power grid cannot install monitoring devices at all nodes,how to determine the monitoring node number and propose an assessment method suitable for non-uniform data is an unsolved question. Therefore,the determination method of monitoring node number and sampling method is studied. Considering the uneven distribution problem of actual power grid monitoring data,an improved density biased sampling method is proposed. Based on the error margin index,the analytical formula for the number of monitoring nodes is established to meet the requirements of different given errors. Based on the sample data of monitoring nodes,the mean value method is used to calculate the estimated value of system index. Simulative results of IEEE 188-bus system show that the proposed method can not only retain the voltage sag information of original monitoring data in the sampling process,but also can obtain the estima-ted value of monitoring node number required for assessment based on the given errors. Compared with the existing assessment methods,the proposed method has smaller assessment error. © 2020, Electric Power Automation Equipment Press. All right reserved.
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页码：8 / 14
页数：6
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