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Multi-dimensional customer segmentation model for power system reliability-worth analysis
KTH, School of Electrical Engineering (EES), Electric Power Systems.
2014 (English)In: International Journal of Electrical Power & Energy Systems, ISSN 0142-0615, E-ISSN 1879-3517, Vol. 62, 532-539 p.Article in journal (Refereed) Published
Abstract [en]

Accurate assessment of customer interruption costs is essential for making informed decisions in power system planning and operation. This paper presents a multi-dimensional customer segmentation model for reliability-worth analysis of power systems. The proposed model uses a hierarchical clustering technique to cluster electricity customers into customer segments of similar cost characteristics. Three customer parameters - economic size, economic activity and energy consumption are used in the proposed model. The proposed model is examined on two case studies from South Africa and Sweden, and results are compared to the conventional customer segmentation models. The effectiveness of the proposed model is determined based on the coefficient of variation of the final CIC estimates for different duration and time of occurrence of power interruptions. The results show a reduction in the dispersion of the final CIC estimates and thus allow CICs to be estimated from smaller survey samples.

Place, publisher, year, edition, pages
2014. Vol. 62, 532-539 p.
Keyword [en]
Multi-dimensional customer segmentation, Customer interruption costs, Reliability-worth
National Category
Energy Systems Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-149491DOI: 10.1016/j.ijepes.2014.04.066ISI: 000339601500056Scopus ID: 2-s2.0-84902162206OAI: oai:DiVA.org:kth-149491DiVA: diva2:740115
Note

QC 20140822

Available from: 2014-08-22 Created: 2014-08-22 Last updated: 2017-12-05Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf