Please use this identifier to cite or link to this item:
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/30411
Title: | Economic dispatch solution using a double mutation–artificial immune system |
Authors: | Hulwani, Tajudin Siti Rafidah Abdul Rahim |
Keywords: | Economic dispatch (ED) Artificial Immune System (AIS) |
Issue Date: | May-2011 |
Publisher: | Universiti Malaysia Perlis (UniMAP) |
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. |
Description: | Access is limited to UniMAP community. |
URI: | http://dspace.unimap.edu.my/123456789/30411 |
Appears in Collections: | School of Electrical Systems Engineering (FYP) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
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 |
Items in UniMAP Library Digital Repository are protected by copyright, with all rights reserved, unless otherwise indicated.