Grey wolves optimizer approach for maximizing social welfare benefit in competitive electricity markets / Nur Ain Asyikin Mat Jais

Mat Jais, Nur Ain Asyikin (2020) Grey wolves optimizer approach for maximizing social welfare benefit in competitive electricity markets / Nur Ain Asyikin Mat Jais. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

In traditional power system industry, economic dispatch approach is adapted in the system operation and planning with the objective to minimize the cost. With the introduction of liberalized energy market, this objective has diverged to maximize customer utility, minimize the customer discomfort and maximize social welfare benefits. This study presents the solution to unit commitment problem in order to maximize social welfare benefits in competitive electricity market. Grey Wolf Optimization (GWO) method is used to solve this problem. A system consists of seven hydro units and four thermal units is tested with the proposed method. The results show that the maximization of social welfare benefit can be obtained and the opportunity cost for generator can be determined.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Mat Jais, Nur Ain Asyikin
2016343839
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Sheikh Rahimullah, Bibi Norasiqin
UNSPECIFIED
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme: Bachelor of Electrical Engineering (Hons)
Keywords: Grey wolves optimizer, maximize social welfare, opportunity cost
Date: 2020
URI: https://ir.uitm.edu.my/id/eprint/67242
Edit Item
Edit Item

Download

[thumbnail of 67242.pdf] Text
67242.pdf

Download (89kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:
On Shelf

ID Number

67242

Indexing

Statistic

Statistic details