Analysis of customer profiles on an electrical distribution network

Akperi, B.T.; Matthews, P.C.

doi:10.1109/upec.2014.6934624

Analysis of customer profiles on an electrical distribution network

Akperi, B.T.; Matthews, P.C.

Authors

B.T. Akperi

Dr Peter Matthews p.c.matthews@durham.ac.uk
Associate Professor

Contributors

M. Conlon
Editor

D. D. Micu
Editor

M. Al-Tai
Editor

C. Ferreira
Editor

Abstract

It has become increasingly important for electrical distribution companies to understand the drivers of demand. The maximum demand at any given substation can vary materially on an annual basis which means it is difficult to create a load related investment plan that is robust and stable. Currently, forecasts are based only on historical demand with little understanding about contributions to load profiles. In particular, the unique diversity of customers on any particular substation can affect load profile shape and future forecasts. Domestic and commercial customers can have very different behaviours generally and within these groups there is room for variation due to economic conditions and building types. This paper analyses customer types associated to substations on a distribution network by way of principal component analysis and identification of substations which deviate from the national demand trend. By examining the variance spread of this deviation, data points can be labelled in the principal component space. Groups of substations can then be categorised as having typical or atypical load profiles. This will support the need for further investigation into particular customer types and highlight the key factors of customer categorisation.

Citation

Akperi, B., & Matthews, P. (2014). Analysis of customer profiles on an electrical distribution network. In M. Conlon, D. D. Micu, M. Al-Tai, & C. Ferreira (Eds.), Proceedings of 2014 49th International Universities Power Engineering Conference (UPEC) : 2-5 September 2014, Cluj-Napoca, Romania (1-6). https://doi.org/10.1109/upec.2014.6934624

Conference Name	2014 49th International Universities Power Engineering Conference (UPEC)
Conference Location	Cluj-Napoca, Romania
Start Date	Sep 2, 2014
End Date	Sep 5, 2014
Acceptance Date	Mar 1, 2014
Publication Date	Sep 5, 2014
Deposit Date	Oct 27, 2015
Publicly Available Date	Nov 5, 2015
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-6
Series Title	Power Engineering Conference (UPEC)
Book Title	Proceedings of 2014 49th International Universities Power Engineering Conference (UPEC) : 2-5 September 2014, Cluj-Napoca, Romania.
DOI	https://doi.org/10.1109/upec.2014.6934624
Keywords	Clustering methods, Load modeling, Power distribution, Principal component analysis.
Public URL	https://durham-repository.worktribe.com/output/1153142
Additional Information	Date of Conference: 2-5 Sept. 2014

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