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DC Field | Value | Language |
---|---|---|
dc.contributor.author | SINGH, PUSHPENDER | - |
dc.date.accessioned | 2012-01-27T10:41:59Z | - |
dc.date.available | 2012-01-27T10:41:59Z | - |
dc.date.issued | 2012-01-27 | - |
dc.identifier.uri | http://dspace.dtu.ac.in:8080/jspui/handle/repository/13940 | - |
dc.description | M.TECH | en_US |
dc.description.abstract | Economic Load Dispatch (ELD) is one of the main functions of modern Energy Management System (EMS), which determines the optimal real power settings of generating units. The Economic Load Dispatch (ELD) problem pertains to the optimum generation scheduling of available generators in a power system to minimize the cost of generation subject to system constraints. A MATLAB program has been developed for Evolutionary Programming and Evolutionary Computation such as Genetic Algorithm (GA) to solve economic load dispatch problem considering transmission losses & environmental pollution. In this thesis, the Weighting method has been used to solve Economic Load Dispatch problem for IEEE 5 Bus system using GA tool box in MATLAB R2008b and Ideal Distance Minimization technique is used to obtain the Target Point in 3D space. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartofseries | TD 875;85 | - |
dc.subject | GA BASED MULTIOBJECTIVE ECONOMIC LOAD DISPATCH | en_US |
dc.subject | ECONOMIC LOAD DISPATCH | en_US |
dc.subject | GENETIC ALGORITHM | en_US |
dc.title | GA BASED MULTIOBJECTIVE ECONOMIC LOAD DISPATCH | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | M.E./M.Tech. Control and Instumentation Engineering |
Files in This Item:
File | Description | Size | Format | |
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front pushpender.pdf | COVER | 97.39 kB | Adobe PDF | View/Open |
pushpender thesis final.pdf | MAIN | 1.17 MB | Adobe PDF | View/Open |
graphs.pdf | GRAPHS | 508.3 kB | Adobe PDF | View/Open |
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