DocumentCode :
2051344
Title :
Statistical identification of prototypical low voltage distribution feeders in Western Australia
Author :
Yingliang Li ; Wolfs, P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Curtin Univ. of Technol., Perth, WA, Australia
fYear :
2012
fDate :
22-26 July 2012
Firstpage :
1
Lastpage :
8
Abstract :
This paper presents a statistical clustering analysis study for low voltage (LV) distribution feeders in Western Australian (WA), Australia. The work identified a group of prototypical LV feeders from thousands of feeders, where each feeder represents specific types of users and electrical loads. The prototypical feeder data is used to identify physical feeders that are a set of representative test cases for LV feeders in the WA context. The test case feeders can be used as statistically meaningful representative cases for the assessment of technology impacts including smart grid deployments or load changes due to photovoltaics or electric vehicle uptake.
Keywords :
power distribution; smart power grids; statistical analysis; WA context; Western Australia; electric vehicle uptake; electrical; load changes; photovoltaics; prototypical LV feeders; prototypical low voltage distribution feeders; representative test cases; smart grid deployments; statistical identification; technology impacts assessment; Australia; Complexity theory; Databases; Low voltage; Photovoltaic systems; Smart grids; Tree graphs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
ISSN :
1944-9925
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PESGM.2012.6345028
Filename :
6345028
Link To Document :
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