State Estimation in Low Voltage Networks Using Smart Meters: Statistical Analysis of the Errors

被引：0
|
作者：
Arboleya, Pablo [1 ]
机构：
[1] Univ Oviedo, Dept Elect Engn, Gijon, Spain
来源：
2018 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM) | 2018年
关键词：
State estimation; smart-meters; low voltage systems; quasi-static time series; distribution systems; power flow; smart grid; smart meters; DSSE; CONNECTIVITY;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In the present work, the assumptions made by the classical state estimation theory based on weighted least squares are revised when this theory is applied to low voltage systems with non-aggregated smart meters data. The measurement errors will be analysed obtaining some interesting conclusions about their probability density functions. Finally, these conclusions will be validated by means of different power flow tests using different smart meters set-up.
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页数：5
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