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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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Main Author: Jamaludin, Zulkarnain
Format: Thesis
Language:English
Published: 2004
Online Access:https://ir.uitm.edu.my/id/eprint/84571/1/84571.pdf
https://ir.uitm.edu.my/id/eprint/84571/
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id my.uitm.ir.84571
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spelling my.uitm.ir.845712024-03-14T08:23:11Z https://ir.uitm.edu.my/id/eprint/84571/ An Artificial Immune System (AIS) based in load flow optimisation / Zulkarnain Jamaludin 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/84571/1/84571.pdf An Artificial Immune System (AIS) based in load flow optimisation / Zulkarnain Jamaludin. (2004) Degree thesis, thesis, Universiti Teknologi MARA (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
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
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
publishDate 2004
url https://ir.uitm.edu.my/id/eprint/84571/1/84571.pdf
https://ir.uitm.edu.my/id/eprint/84571/
_version_ 1794641197784891392
score 13.211869

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