Distribution Transformer kVA Load Estimation Using Smart Meter Data

被引：0

作者：

Usman, Hafiz M. ^{[1
]}

ElShatshat, Ramadan ^{[1
]}

El-Hag, Ayman H. ^{[1
]}

机构：

[1] Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON, Canada

来源：

2021 IEEE ELECTRICAL POWER AND ENERGY CONFERENCE (EPEC) | 2021年

关键词：

Distribution transformer; secondary distribution system; smart meter;

D O I：

10.1109/EPEC52095.2021.9621719

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：

This paper presents a hardware-free novel strategy for a distribution transformer kVA load estimation, without requiring a fixed power factor assumption or reactive power load information across residential electricity consumers. The proposed strategy provides a simple and effective fixed-point iteration-based formulation for a balanced secondary distribution network. The efficacy and a detailed statistical analysis of the proposed scheme are studied on a balanced secondary distribution system against 1,000 random load profiles through Monte-Carlo simulations which represent uncertainty in smart meter data. The results indicate that the proposed scheme provides better results in comparison to fixed power assumptions for a distribution transformer kVA load estimation, and the results from this work may contribute to further smart-grid applications.

引用

页码：149 / 153

页数：5