Abstract
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.
Metadata
Item Type: | Thesis (Degree) |
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Creators: | Creators Email / ID Num. Jamaludin, Zulkarnain UNSPECIFIED |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Abdul Rahman, Titik Khawa UNSPECIFIED |
Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering |
Programme: | Bachelor of Electrical Engineering (Hons.) |
Keywords: | An artificial immune system, load flow solution, complex cells |
Date: | 2004 |
URI: | https://ir.uitm.edu.my/id/eprint/84571 |
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