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Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hulwani, Tajudin | - |
dc.date.accessioned | 2013-12-11T06:59:24Z | - |
dc.date.available | 2013-12-11T06:59:24Z | - |
dc.date.issued | 2011-05 | - |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/30411 | - |
dc.description | Access is limited to UniMAP community. | en_US |
dc.description.abstract | This project presents a Double Mutation-Artificial Immune System based on optimization approach for solving economic dispatch problem in power system. Economic dispatch determines the electrical power to be generated by the committed generating units in a power system so that the generation cost is minimized, while satisfying the load demand simultaneously. The developed Double Mutation-Artificial Immune System optimization technique uses the total generation cost as the objective function and represented as the affinity measure. The test system that is used for this project is a 26 bus system and the program is developed using MATLAB software. The result also confirms that Double Mutation-Artificial Immune System technique can be a useful tool for solving economic dispatch problem, which involves a large number of generating units and at the same time comply with the constraints involved. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
dc.subject | Economic dispatch (ED) | en_US |
dc.subject | Artificial Immune System (AIS) | en_US |
dc.title | Economic dispatch solution using a double mutation–artificial immune system | en_US |
dc.type | Learning Object | en_US |
dc.contributor.advisor | Siti Rafidah Abdul Rahim | en_US |
dc.publisher.department | School of Electrical System Engineering | en_US |
Appears in Collections: | School of Electrical Systems Engineering (FYP) |
Files in This Item:
File | Description | Size | Format | |
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Abstract, Acknowledgement.pdf | 199.48 kB | Adobe PDF | View/Open | |
Introduction.pdf | 110.05 kB | Adobe PDF | View/Open | |
Literature review.pdf | 271.66 kB | Adobe PDF | View/Open | |
Methodology.pdf | 739.97 kB | Adobe PDF | View/Open | |
Results and discussion.pdf | 346.33 kB | Adobe PDF | View/Open | |
Conclusion.pdf | 186.21 kB | Adobe PDF | View/Open | |
Reference and appendix.pdf | 275.41 kB | Adobe PDF | View/Open |
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