Practical method for calculating measurement weights in weighted least square state estimation

被引：0

作者：

Gong C. ^{[1
,2
,3
]}

Yu Y. ^{[4
]}

Lu Y. ^{[3
]}

Xu T. ^{[5
]}

Wang D. ^{[6
]}

机构：

[1] NARI Technology Co. Ltd., Nanjing

[2] State Key Laboratory of Smart Grid Protection and Control, Nanjing

[3] State Grid Sichuan Electric Power Company, Chengdu

[4] China Electric Power Research Institute (Nanjing), Nanjing

[5] State Grid Jiangsu Electric Power Company, Nanjing

[6] State Grid Henan Electric Power Company, Zhengzhou

来源：

Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2016年 / 40卷 / 11期

关键词：

Full scale; Measurement weight; Per-unit weight values; Precision grade; State estimation; Weighted least square (WLS);

D O I：

10.7500/AEPS20150615015

中图分类号：

学科分类号：

摘要：

This paper analyzes the affecting factors of measurement weight and addresses a practical way to calculate the default weights based on the information of measurement precision grade and full scale. Typical per-unit weight values from actual systems are illustrated to show the great difference between power measurement at different voltage levels and the relationship between power measurement and voltage measurement. As the proposed method is based on available information that can well represent the precision of measurement, more appropriate weights can be generated and hence higher state estimation precision. The effectiveness of the proposed method is verified by simulated case studies. Furthermore, the method for calculating the weights of two kinds of combined measurement and the principles of setting proper weights for zero-injection measurement are briefly treated. © 2016, Automation of Electric Power Systems Press.

引用

页码：143 / 147

页数：4

共 7 条

[1]

Li B., Xue Y., Gu J., Et al., Status quo and prospect of power system state estimation, Automation of Electric Power Systems, 22, 11, pp. 55-60, (1998)

[2]

Abur A., Gomez Exposito A., Power System State Estimation - Theory and Implementation, (2004)

[3]

Huang T., Lu J., Zhang H., Adjustable measures to improve calculation precision of state estimation in Guangdong Province, Power System Technology, 28, 16, pp. 78-81, (2004)

[4]

Wang M., Chang N., Liu J., Et al., A multi-index comprehensive evaluation method of state estimation, Automation of Electric Power Systems, 39, 1, pp. 94-98, (2015)

[5]

Zhong S., Abur A., Auto tuning of measurement weights in WLS state estimation, IEEE Trans on Power Systems, 19, 4, pp. 2006-2013, (2004)

[6]

Zhong S., Abur A., Combined state estimation and measurement calibration, IEEE Trans on Power Systems, 20, 1, pp. 458-465, (2005)

[7]

Li B., Xue Y., Gu J., Et al., A new criterion of determine measurement weights in power system state estimation, Automation of Electric Power Systems, 24, 8, pp. 10-14, (2000)

← 1 →