DocumentCode :
603613
Title :
Identifying substations serving majority domestic/residential users
Author :
Matshalaga, D.T. ; van Harmelen, G.
Author_Institution :
Demand Intell., Enerweb, Johannesburg, South Africa
fYear :
2013
fDate :
3-4 April 2013
Firstpage :
1
Lastpage :
6
Abstract :
A substation feeds many types of customers. These customers can be split into Domestic/Residential and “other” consumers. These consumers have generalized load profiles. If one can identify the prominent load profile of a substation, one can identify the bulk consumer in the mixed load profile of the given substation. In this paper an automated method to group substation by its bulk consumer type is proposed and investigated. The automated method uses a Complete Agglomerative Hierarchical Clustering. The overall municipal load profile is used as an exemplary load profile for a large count of aggregated Domestic consumers. Results of this method are checked to validate the results and conclusions made.
Keywords :
substations; aggregated domestic consumers; bulk consumer type; complete agglomerative hierarchical clustering; domestic-residential user; exemplary load profile; mixed load profile; municipal load profile; substation identification; Correlation; Elbow; Electricity; Geospatial analysis; Matrix converters; Shape; Substations; “Other”; Clustering; Domestic; Load Profile; Residential;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Domestic Use of Energy Conference (DUE), 2013 Proceedings of the 21st
Conference_Location :
Cape Town
Print_ISBN :
978-1-4799-0050-3
Type :
conf
Filename :
6524786
Link To Document :
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