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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Main Author: Md Nor, Muhammad Hamizan
Format: Thesis
Language:English
Published: 2019
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/67080/2/67080.pdf
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spelling 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
spellingShingle 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
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