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 | |
| Publication status | Published - 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 |
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 |
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All Science Journal Classification (ASJC) codes
- Energy Engineering and Power Technology
- Fuel Technology
Cite this
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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.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Probabilistic approach in sizing distribution transformers
AU - Kannan, Sasitharan
AU - Au, Mau Teng
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=77956435701&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77956435701&partnerID=8YFLogxK
U2 - 10.1109/PMAPS.2010.5529012
DO - 10.1109/PMAPS.2010.5529012
M3 - Conference contribution
SN - 9781424457236
SP - 599
EP - 603
BT - 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010
ER -