Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/30411
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dc.contributor.authorHulwani, Tajudin-
dc.date.accessioned2013-12-11T06:59:24Z-
dc.date.available2013-12-11T06:59:24Z-
dc.date.issued2011-05-
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/30411-
dc.descriptionAccess is limited to UniMAP community.en_US
dc.description.abstractThis 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.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.subjectEconomic dispatch (ED)en_US
dc.subjectArtificial Immune System (AIS)en_US
dc.titleEconomic dispatch solution using a double mutation–artificial immune systemen_US
dc.typeLearning Objecten_US
dc.contributor.advisorSiti Rafidah Abdul Rahimen_US
dc.publisher.departmentSchool of Electrical System Engineeringen_US
Appears in Collections:School of Electrical Systems Engineering (FYP)

Files in This Item:
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Abstract, Acknowledgement.pdf199.48 kBAdobe PDFView/Open
Introduction.pdf110.05 kBAdobe PDFView/Open
Literature review.pdf271.66 kBAdobe PDFView/Open
Methodology.pdf739.97 kBAdobe PDFView/Open
Results and discussion.pdf346.33 kBAdobe PDFView/Open
Conclusion.pdf186.21 kBAdobe PDFView/Open
Reference and appendix.pdf275.41 kBAdobe PDFView/Open


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