Solving economic dispatch with valve point loading effect using grey wolf optimizer algorithm / Farah Asyikin Amir Mahmud

Amir Mahmud, Farah Asyikin (2019) Solving economic dispatch with valve point loading effect using grey wolf optimizer algorithm / Farah Asyikin Amir Mahmud. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

The aim of solving the problem of economic dispatch is to determine the optimal power of committed generation unit to minimize the total operational cost while meeting the system constraints. Economic dispatch in the power system is a non-convex, non-linear and non-differential problem due to the valve point effect, limitation of emission, and loss of transmission. This final year project report presents a solution using Grey Wolf Optimizer (GWO) to solve the economic dispatch problem by considering the valve point loading effect. The method is tested on six generation system with valve loading point effect and loss of transmission. The simulation result for the six-thermal unit system show that GWO is capable to solve economic dispatch with valve point effect.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Amir Mahmud, Farah Asyikin
2015125513
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: Optimal power, committed generation unit, limitation emission
Date: 2019
URI: https://ir.uitm.edu.my/id/eprint/67285
Edit Item
Edit Item

Download

[thumbnail of 67285.pdf] Text
67285.pdf

Download (107kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:
On Shelf

ID Number

67285

Indexing

Statistic

Statistic details