An Artificial Immune System (AIS) based in load flow optimisation / Zulkarnain Jamaludin
The load flow problem can be expressed as a set of nonlinear simultaneous algebraic equations, and then it is possible to have multiple solutions. To overcome the limitations of conventional load flow method to obtain the multiple solutions in load flow problem, an artificial immune system based in...
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| المؤلف الرئيسي: | |
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| التنسيق: | أطروحة |
| اللغة: | English |
| منشور في: |
2004
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| الوصول للمادة أونلاين: | https://ir.uitm.edu.my/id/eprint/84571/1/84571.pdf |
| الوسوم: |
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my-uitm-ir.84571 |
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my-uitm-ir.845712024-03-14T08:23:11Z An Artificial Immune System (AIS) based in load flow optimisation / Zulkarnain Jamaludin 2004 Jamaludin, Zulkarnain The load flow problem can be expressed as a set of nonlinear simultaneous algebraic equations, and then it is possible to have multiple solutions. To overcome the limitations of conventional load flow method to obtain the multiple solutions in load flow problem, an artificial immune system based in load flow optimization is developed. The immune system is a complex cells, molecules and organs which have proven to be capable of performing several tasks, like pattern recognition, learning, memory acquisition, generation of diversity, noise tolerance, generalization, distributed detection and optimization. In this paper, the load flow problem is solved using Artificial Immune System (AIS) optimisation technique. The AIS programme was developed using MATLAB programming language. 2004 Thesis https://ir.uitm.edu.my/id/eprint/84571/ https://ir.uitm.edu.my/id/eprint/84571/1/84571.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Abdul Rahman, Titik Khawa |
| institution |
Universiti Teknologi MARA |
| collection |
UiTM Institutional Repository |
| language |
English |
| advisor |
Abdul Rahman, Titik Khawa |
| description |
The load flow problem can be expressed as a set of nonlinear simultaneous algebraic equations, and then it is possible to have multiple solutions. To overcome the limitations of conventional load flow method to obtain the multiple solutions in load flow problem, an artificial immune system based in load flow optimization is developed. The immune system is a complex cells, molecules and organs which have proven to be capable of performing several tasks, like pattern recognition, learning, memory acquisition, generation of diversity, noise tolerance, generalization, distributed detection and optimization. In this paper, the load flow problem is solved using Artificial Immune System (AIS) optimisation technique. The AIS programme was developed using MATLAB programming language. |
| format |
Thesis |
| qualification_level |
Bachelor degree |
| author |
Jamaludin, Zulkarnain |
| spellingShingle |
Jamaludin, Zulkarnain An Artificial Immune System (AIS) based in load flow optimisation / Zulkarnain Jamaludin |
| author_facet |
Jamaludin, Zulkarnain |
| author_sort |
Jamaludin, Zulkarnain |
| title |
An Artificial Immune System (AIS) based in load flow optimisation / Zulkarnain Jamaludin |
| title_short |
An Artificial Immune System (AIS) based in load flow optimisation / Zulkarnain Jamaludin |
| title_full |
An Artificial Immune System (AIS) based in load flow optimisation / Zulkarnain Jamaludin |
| title_fullStr |
An Artificial Immune System (AIS) based in load flow optimisation / Zulkarnain Jamaludin |
| title_full_unstemmed |
An Artificial Immune System (AIS) based in load flow optimisation / Zulkarnain Jamaludin |
| title_sort |
artificial immune system (ais) based in load flow optimisation / zulkarnain jamaludin |
| granting_institution |
Universiti Teknologi MARA (UiTM) |
| granting_department |
Faculty of Electrical Engineering |
| publishDate |
2004 |
| url |
https://ir.uitm.edu.my/id/eprint/84571/1/84571.pdf |
| _version_ |
1794192023145676800 |