Solving unit commitment with smart grid consideration using evolutionary programming incorporating priority listing technique / Farhana Harun
This paper proposed Evolutionary Programming incorporating Priority Listing technique to solve Unit Commitment problem in power system economics and planning. The objective of this research is to find the most economical cost for the unit commitment problem using the proposed technique while at the...
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my-uitm-ir.848062024-01-25T15:12:39Z Solving unit commitment with smart grid consideration using evolutionary programming incorporating priority listing technique / Farhana Harun 2013 Harun, Farhana Evolutionary programming (Computer science). Genetic algorithms Programming languages (Electronic computers) This paper proposed Evolutionary Programming incorporating Priority Listing technique to solve Unit Commitment problem in power system economics and planning. The objective of this research is to find the most economical cost for the unit commitment problem using the proposed technique while at the same time to study the effect of smart grid consideration to the conventional grid system. This research used 10 generating units as its basis for simulation with 24 hours of time intervals. The Evolutionary Programming incorporating Priority Listing technique is tested alongside with Evolutionary Programming technique as benchmarking purpose for both conventional Unit commitment problem and Unit commitment problem with smart grid consideration. 2013 Thesis https://ir.uitm.edu.my/id/eprint/84806/ https://ir.uitm.edu.my/id/eprint/84806/1/84806.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering |
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Universiti Teknologi MARA |
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UiTM Institutional Repository |
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English |
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Evolutionary programming (Computer science) Genetic algorithms Programming languages (Electronic computers) |
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Evolutionary programming (Computer science) Genetic algorithms Programming languages (Electronic computers) Harun, Farhana Solving unit commitment with smart grid consideration using evolutionary programming incorporating priority listing technique / Farhana Harun |
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This paper proposed Evolutionary Programming incorporating Priority Listing technique to solve Unit Commitment problem in power system economics and planning. The objective of this research is to find the most economical cost for the unit commitment problem using the proposed technique while at the same time to study the effect of smart grid consideration to the conventional grid system. This research used 10 generating units as its basis for simulation with 24 hours of time intervals. The Evolutionary Programming incorporating Priority Listing technique is tested alongside with Evolutionary Programming technique as benchmarking purpose for both conventional Unit commitment problem and Unit commitment problem with smart grid consideration. |
format |
Thesis |
qualification_level |
Bachelor degree |
author |
Harun, Farhana |
author_facet |
Harun, Farhana |
author_sort |
Harun, Farhana |
title |
Solving unit commitment with smart grid consideration using evolutionary programming incorporating priority listing technique / Farhana Harun |
title_short |
Solving unit commitment with smart grid consideration using evolutionary programming incorporating priority listing technique / Farhana Harun |
title_full |
Solving unit commitment with smart grid consideration using evolutionary programming incorporating priority listing technique / Farhana Harun |
title_fullStr |
Solving unit commitment with smart grid consideration using evolutionary programming incorporating priority listing technique / Farhana Harun |
title_full_unstemmed |
Solving unit commitment with smart grid consideration using evolutionary programming incorporating priority listing technique / Farhana Harun |
title_sort |
solving unit commitment with smart grid consideration using evolutionary programming incorporating priority listing technique / farhana harun |
granting_institution |
Universiti Teknologi MARA (UiTM) |
granting_department |
Faculty of Electrical Engineering |
publishDate |
2013 |
url |
https://ir.uitm.edu.my/id/eprint/84806/1/84806.pdf |
_version_ |
1794192053087764480 |