A Statistical Study on Topological Features of High Voltage Distribution Networks in Western Australia

被引：0

作者：

Li, Yingliang ^{[1
]}

Wolfs, Peter ^{[1
]}

机构：

[1] Curtin Univ Technol, Dept Elect & Comp Engn, Perth, WA, Australia

来源：

2010 20TH AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE (AUPEC 2010): POWER QUALITY FOR THE 21ST CENTURY | 2010年

关键词：

MONTE-CARLO;

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：

The assessment of changes in technology or load behaviors on distribution networks requires a rigorous understanding of the features of the network itself. In a typical distribution network, there will be hundreds of high voltage (HV) feeders and ten thousands of low voltage (LV) feeders. This work uses cluster analysis to identify statistically representative or prototypical HV feeders in the West Australian context. The representative HV feeder data will be used as an input to the development of Monte Carlo models to assess the impact of technology changes driven by Smart Grid deployments or load changes due to solar panel, air conditioning or electric vehicle uptake.

引用

页数：6