Solving short term hydrothermal scheduling problem using Grey Wolf Optimizer (GWO) / Muhammad Hamizan Md Nor
The objective of the hydrothermal scheduling is to minimize the total cost system, while fulfilling the power balance and system constraints. This final year project report proposes a solution to handle the problems of short-term hydrothermal scheduling and economic load dispatch. Grey Wolf Optimize...
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2019
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my-uitm-ir.670802023-01-05T03:43:05Z Solving short term hydrothermal scheduling problem using Grey Wolf Optimizer (GWO) / Muhammad Hamizan Md Nor 2019 Md Nor, Muhammad Hamizan Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission The objective of the hydrothermal scheduling is to minimize the total cost system, while fulfilling the power balance and system constraints. This final year project report proposes a solution to handle the problems of short-term hydrothermal scheduling and economic load dispatch. Grey Wolf Optimizer (GWO) method is developed in this study to solve Short Term Hydrothermal Scheduling (SHTS). This method is tested on a system consisting a hydro unit and a thermal unit and a system consisting two thermal units and two hydro units. Simulation results were compared with those obtained using conventional method to show that GWO is able to solve the problem with satisfactory results. 2019 Thesis https://ir.uitm.edu.my/id/eprint/67080/ https://ir.uitm.edu.my/id/eprint/67080/2/67080.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Sheikh Rahimullah, Bibi Norasiqin |
institution |
Universiti Teknologi MARA |
collection |
UiTM Institutional Repository |
language |
English |
advisor |
Sheikh Rahimullah, Bibi Norasiqin |
topic |
Production of electric energy or power Powerplants Central stations Production of electric energy or power Powerplants Central stations |
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Production of electric energy or power Powerplants Central stations Production of electric energy or power Powerplants Central stations Md Nor, Muhammad Hamizan Solving short term hydrothermal scheduling problem using Grey Wolf Optimizer (GWO) / Muhammad Hamizan Md Nor |
description |
The objective of the hydrothermal scheduling is to minimize the total cost system, while fulfilling the power balance and system constraints. This final year project report proposes a solution to handle the problems of short-term hydrothermal scheduling and economic load dispatch. Grey Wolf Optimizer (GWO) method is developed in this study to solve Short Term Hydrothermal Scheduling (SHTS). This method is tested on a system consisting a hydro unit and a thermal unit and a system consisting two thermal units and two hydro units. Simulation results were compared with those obtained using conventional method to show that GWO is able to solve the problem with satisfactory results. |
format |
Thesis |
qualification_level |
Bachelor degree |
author |
Md Nor, Muhammad Hamizan |
author_facet |
Md Nor, Muhammad Hamizan |
author_sort |
Md Nor, Muhammad Hamizan |
title |
Solving short term hydrothermal scheduling problem using Grey Wolf Optimizer (GWO) / Muhammad Hamizan Md Nor |
title_short |
Solving short term hydrothermal scheduling problem using Grey Wolf Optimizer (GWO) / Muhammad Hamizan Md Nor |
title_full |
Solving short term hydrothermal scheduling problem using Grey Wolf Optimizer (GWO) / Muhammad Hamizan Md Nor |
title_fullStr |
Solving short term hydrothermal scheduling problem using Grey Wolf Optimizer (GWO) / Muhammad Hamizan Md Nor |
title_full_unstemmed |
Solving short term hydrothermal scheduling problem using Grey Wolf Optimizer (GWO) / Muhammad Hamizan Md Nor |
title_sort |
solving short term hydrothermal scheduling problem using grey wolf optimizer (gwo) / muhammad hamizan md nor |
granting_institution |
Universiti Teknologi MARA (UiTM) |
granting_department |
Faculty of Electrical Engineering |
publishDate |
2019 |
url |
https://ir.uitm.edu.my/id/eprint/67080/2/67080.pdf |
_version_ |
1783735657779167232 |