An application of artificial neural network for determining the tap change ratio of OLTC in minimizing real power loss in a power system / Nor Haidar Hashim
This project presents an artificial neural network (ANN) technique for determining optimum tapping ratio of tap changing transformer which will in turn minimise real power losses in electrical power system. Training data containing variety of load patterns, tap changing transformer ratio and real po...
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| Format: | Thesis |
| Language: | en |
| Published: |
2003
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| Online Access: | https://ir.uitm.edu.my/id/eprint/84530/1/84530.pdf https://ir.uitm.edu.my/id/eprint/84530/ |
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| _version_ | 1833078498811445248 |
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| author | Hashim, Nor Haidar |
| author_facet | Hashim, Nor Haidar |
| author_sort | Hashim, Nor Haidar |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This project presents an artificial neural network (ANN) technique for determining optimum tapping ratio of tap changing transformer which will in turn minimise real power losses in electrical power system. Training data containing variety of load patterns, tap changing transformer ratio and real power losses associated with each tapping are fed into a neural network. By using the Levenberg-Marquardt algorithm, a back propagation network is trained so that it predict the optimum tap ratio when unseen data are fed into the network. The technique was tested on 6-bus IEEE system and the result obtained shows that the proposed ANN technique is highly accurate, reliable and capable to predict at faster rate |
| format | Thesis |
| id | my.uitm.ir-84530 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2003 |
| record_format | eprints |
| spelling | my.uitm.ir-845302024-03-12T02:21:32Z https://ir.uitm.edu.my/id/eprint/84530/ An application of artificial neural network for determining the tap change ratio of OLTC in minimizing real power loss in a power system / Nor Haidar Hashim Hashim, Nor Haidar This project presents an artificial neural network (ANN) technique for determining optimum tapping ratio of tap changing transformer which will in turn minimise real power losses in electrical power system. Training data containing variety of load patterns, tap changing transformer ratio and real power losses associated with each tapping are fed into a neural network. By using the Levenberg-Marquardt algorithm, a back propagation network is trained so that it predict the optimum tap ratio when unseen data are fed into the network. The technique was tested on 6-bus IEEE system and the result obtained shows that the proposed ANN technique is highly accurate, reliable and capable to predict at faster rate 2003 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/84530/1/84530.pdf An application of artificial neural network for determining the tap change ratio of OLTC in minimizing real power loss in a power system / Nor Haidar Hashim. (2003) Degree thesis, thesis, Universiti Teknologi Mara (UiTM). |
| spellingShingle | Hashim, Nor Haidar An application of artificial neural network for determining the tap change ratio of OLTC in minimizing real power loss in a power system / Nor Haidar Hashim |
| title | An application of artificial neural network for determining the tap change ratio of OLTC in minimizing real power loss in a power system / Nor Haidar Hashim |
| title_full | An application of artificial neural network for determining the tap change ratio of OLTC in minimizing real power loss in a power system / Nor Haidar Hashim |
| title_fullStr | An application of artificial neural network for determining the tap change ratio of OLTC in minimizing real power loss in a power system / Nor Haidar Hashim |
| title_full_unstemmed | An application of artificial neural network for determining the tap change ratio of OLTC in minimizing real power loss in a power system / Nor Haidar Hashim |
| title_short | An application of artificial neural network for determining the tap change ratio of OLTC in minimizing real power loss in a power system / Nor Haidar Hashim |
| title_sort | application of artificial neural network for determining the tap change ratio of oltc in minimizing real power loss in a power system / nor haidar hashim |
| url | https://ir.uitm.edu.my/id/eprint/84530/1/84530.pdf https://ir.uitm.edu.my/id/eprint/84530/ |
| url_provider | http://ir.uitm.edu.my/ |