Computational intelligence based technique for load shedding scheme / Lukman Hakim Hamron
Losses in generation and overloading effect are two phenomena that may occur due to progressing demand at the load side. This may lead to system instability in the forms of voltage and frequency. In order to avoid this problem, the under voltage load shedding scheme can be performed to shed some amo...
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2013
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| Online Access: | https://ir.uitm.edu.my/id/eprint/84901/1/84901.pdf |
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my-uitm-ir.849012024-02-16T09:14:39Z Computational intelligence based technique for load shedding scheme / Lukman Hakim Hamron 2013 Hamron, Lukman Hakim Losses in generation and overloading effect are two phenomena that may occur due to progressing demand at the load side. This may lead to system instability in the forms of voltage and frequency. In order to avoid this problem, the under voltage load shedding scheme can be performed to shed some amount of load in order to avoid blackout. This paper presents computational intelligence technique for load shedding. The study involves the development of fuzzy rules in order to make decision on load shedding. It will determine the amount of load that needs to be shed depending on the measured minimum voltage of the system. The result of this study will show the performance of under voltage load shedding scheme in determining power system stability by shedding some amount of the load demand. The technique has been validated on the IEEE 30-bus system. 2013 Thesis https://ir.uitm.edu.my/id/eprint/84901/ https://ir.uitm.edu.my/id/eprint/84901/1/84901.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Musirin, Ismail |
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Universiti Teknologi MARA |
| collection |
UiTM Institutional Repository |
| language |
English |
| advisor |
Musirin, Ismail |
| description |
Losses in generation and overloading effect are two phenomena that may occur due to progressing demand at the load side. This may lead to system instability in the forms of voltage and frequency. In order to avoid this problem, the under voltage load shedding scheme can be performed to shed some amount of load in order to avoid blackout. This paper presents computational intelligence technique for load shedding. The study involves the development of fuzzy rules in order to make decision on load shedding. It will determine the amount of load that needs to be shed depending on the measured minimum voltage of the system. The result of this study will show the performance of under voltage load shedding scheme in determining power system stability by shedding some amount of the load demand. The technique has been validated on the IEEE 30-bus system. |
| format |
Thesis |
| qualification_level |
Bachelor degree |
| author |
Hamron, Lukman Hakim |
| spellingShingle |
Hamron, Lukman Hakim Computational intelligence based technique for load shedding scheme / Lukman Hakim Hamron |
| author_facet |
Hamron, Lukman Hakim |
| author_sort |
Hamron, Lukman Hakim |
| title |
Computational intelligence based technique for load shedding scheme / Lukman Hakim Hamron |
| title_short |
Computational intelligence based technique for load shedding scheme / Lukman Hakim Hamron |
| title_full |
Computational intelligence based technique for load shedding scheme / Lukman Hakim Hamron |
| title_fullStr |
Computational intelligence based technique for load shedding scheme / Lukman Hakim Hamron |
| title_full_unstemmed |
Computational intelligence based technique for load shedding scheme / Lukman Hakim Hamron |
| title_sort |
computational intelligence based technique for load shedding scheme / lukman hakim hamron |
| granting_institution |
Universiti Teknologi MARA (UiTM) |
| granting_department |
Faculty of Electrical Engineering |
| publishDate |
2013 |
| url |
https://ir.uitm.edu.my/id/eprint/84901/1/84901.pdf |
| _version_ |
1794192070774095872 |