Probabilistic approach in sizing distribution transformers

Sasitharan Kannan; Mau Teng Au

doi:10.1109/PMAPS.2010.5529012

Probabilistic approach in sizing distribution transformers

Sasitharan Kannan, Mau Teng Au

Department of Electrical Power Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010
Pages	599-603
Number of pages	5
DOIs	https://doi.org/10.1109/PMAPS.2010.5529012
Publication status	Published - 15 Sep 2010
Event	2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010 - Singapore, Singapore Duration: 14 Jun 2010 → 17 Jun 2010

Publication series

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

Other

Other	2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010
Country	Singapore
City	Singapore
Period	14/06/10 → 17/06/10

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology
Fuel Technology

Access to Document

10.1109/PMAPS.2010.5529012

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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

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title = "Probabilistic approach in sizing distribution transformers",

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.",

author = "Sasitharan Kannan and Au, {Mau Teng}",

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booktitle = "2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010",

note = "2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010 ; Conference date: 14-06-2010 Through 17-06-2010",

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Kannan, S & Au, MT 2010, Probabilistic approach in sizing distribution transformers. in 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010., 5529012, 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010, pp. 599-603, 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010, Singapore, Singapore, 14/06/10. https://doi.org/10.1109/PMAPS.2010.5529012

Probabilistic approach in sizing distribution transformers. / Kannan, Sasitharan; Au, Mau Teng.

2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010. 2010. p. 599-603 5529012 (2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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