Probabilistic approach in sizing distribution transformers

Sasitharan Kannan, Mau Teng Au

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a probabilistic approach in sizing distribution transformers capacity supplying residential, commercial, and combination of residential and commercial loads. Load data recorded from the three categories of aggregate loads are used to establish probability distribution curves based on the goodness-of-fit test. The gamma distribution is found to be the best fit among all probability distributions for kilo-volt-ampere (KVA) recorded at peak periods. It is shown that distribution transformers capacity could be more optimally sized by considering a risk factor and thus results in cost savings.

Original languageEnglish
Title of host publication2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010
Pages599-603
Number of pages5
DOIs
Publication statusPublished - 15 Sep 2010
Event2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010 - Singapore, Singapore
Duration: 14 Jun 201017 Jun 2010

Publication series

Name2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010

Other

Other2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010
CountrySingapore
CitySingapore
Period14/06/1017/06/10

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Fuel Technology

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  • Cite this

    Kannan, S., & Au, M. T. (2010). Probabilistic approach in sizing distribution transformers. In 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010 (pp. 599-603). [5529012] (2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010). https://doi.org/10.1109/PMAPS.2010.5529012