B.T. Akperi
Analysis of customer profiles on an electrical distribution network
Akperi, B.T.; Matthews, P.C.
Authors
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, September). Analysis of customer profiles on an electrical distribution network. Presented at 2014 49th International Universities Power Engineering Conference (UPEC), Cluj-Napoca, Romania
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 2014 49th International Universities Power Engineering Conference (UPEC) |
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 |
Files
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Copyright Statement
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