Solving short term hydrothermal scheduling problem using Grey Wolf Optimizer (GWO) / Muhammad Hamizan Md Nor

Md Nor, Muhammad Hamizan (2019) Solving short term hydrothermal scheduling problem using Grey Wolf Optimizer (GWO) / Muhammad Hamizan Md Nor. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

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.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Md Nor, Muhammad Hamizan
2015131571
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Sheikh Rahimullah, Bibi Norasiqin
UNSPECIFIED
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Production of electric energy or power. Powerplants. Central stations
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electric power distribution. Electric power transmission
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme: Bachelor of Engineering (Hons) Electrical Engineering
Keywords: Hydrothermal scheduling, short-term hydrothermal, GWO method
Date: 2019
URI: https://ir.uitm.edu.my/id/eprint/67080
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67080

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