Probabilistic approach in sizing distribution transformers
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 base...
Saved in:
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Conference paper |
| Published: |
2023
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1833351484835627008 |
|---|---|
| author | Kannan S. Au M.T. |
| author2 | 57217334641 |
| author_facet | 57217334641 Kannan S. Au M.T. |
| author_sort | Kannan S. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | 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. �2010 IEEE. |
| format | Conference paper |
| id | my.uniten.dspace-30705 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| record_format | dspace |
| spelling | my.uniten.dspace-307052023-12-29T15:51:36Z Probabilistic approach in sizing distribution transformers Kannan S. Au M.T. 57217334641 9742020600 Distribution transformers Gamma distribution Goodness-of-fit Peak demand Probabilistic Distribution transformer Gamma distribution Goodness of fit Peak demand Probabilistic Probability distributions 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. �2010 IEEE. Final 2023-12-29T07:51:36Z 2023-12-29T07:51:36Z 2010 Conference paper 10.1109/PMAPS.2010.5529012 2-s2.0-77956435701 https://www.scopus.com/inward/record.uri?eid=2-s2.0-77956435701&doi=10.1109%2fPMAPS.2010.5529012&partnerID=40&md5=1d364e43755f511e4fffab604b5402f8 https://irepository.uniten.edu.my/handle/123456789/30705 5529012 599 603 Scopus |
| spellingShingle | Distribution transformers Gamma distribution Goodness-of-fit Peak demand Probabilistic Distribution transformer Gamma distribution Goodness of fit Peak demand Probabilistic Probability distributions Kannan S. Au M.T. Probabilistic approach in sizing distribution transformers |
| title | Probabilistic approach in sizing distribution transformers |
| title_full | Probabilistic approach in sizing distribution transformers |
| title_fullStr | Probabilistic approach in sizing distribution transformers |
| title_full_unstemmed | Probabilistic approach in sizing distribution transformers |
| title_short | Probabilistic approach in sizing distribution transformers |
| title_sort | probabilistic approach in sizing distribution transformers |
| topic | Distribution transformers Gamma distribution Goodness-of-fit Peak demand Probabilistic Distribution transformer Gamma distribution Goodness of fit Peak demand Probabilistic Probability distributions |
| url_provider | http://dspace.uniten.edu.my/ |
