Credibility Modelling and Analysis of AMI Measurements for On-line Distribution State Estimation

被引：0
|
作者：
Lin J. [1 ]
Luan W. [2 ]
Yu Y. [1 ]
Qin C. [1 ]
机构：
[1] Key Laboratory of Smart Grid, Tianjin University, Ministry of Education, Tianjin
[2] China Electric Power Research Institute Co., Ltd., Haidian District, Beijing
来源：
Luan, Wenpeng (luanwenpeng@epri.sgcc.com.cn) | 2018年 / Power System Technology Press卷 / 42期
关键词：
95% confidence interval of network states; Credibility model; Distribution system state estimation; Nonsynchronized AMI measurements;
D O I：
10.13335/j.1000-3673.pst.2017.1491
中图分类号：
学科分类号：
摘要：
As fundamental equipment of advanced metering infrastructure (AMI), smart meters provide system wide visibility for distribution network. However, smart meter measurements are often not synchronized possibly causing inaccuracy and divergence when directly applied to system analysis. To cope with this problem, this paper proposed a method of distribution system state estimation incorporating credibility analysis and modelling of smart meter measurements. The credibility model was simulated with actual residential loads taken by high resolution meters and daily load profiles of distribution transformers. With above information, measurement weights were tuned and 95% confidence intervals of the network states were estimated for each scenario and time segment. A 116-node distribution network was selected to validate the proposed method. Simulation results demonstrated its accuracy and sensitivity. © 2018, Power System Technology Press. All right reserved.
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页码：1191 / 1199
页数：8
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