Generation and reserve dispatch in a competitive market using constrained particle swarm optimization / Nur Ajlaa Amirah Ramlan

Ramlan, Nur Ajlaa Amirah (2017) Generation and reserve dispatch in a competitive market using constrained particle swarm optimization / Nur Ajlaa Amirah Ramlan. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

In modern energy management system, maintaining an economical, secure and reliable generation scheduling is an important operation problem. Competitive bidding for energy and ancillary services are gradually more known as an important part of electricity market. Additionally, the transmission capacity limit must be considered in optimizing the total market cost. In this study, an approach based on constrained particle swarm optimization (PSO) is developed to cope with the generation and reserve, and multi-area electricity market dispatch problem. The PSO method proposes a solution for optimizing the total cost in a multi-area competitive market considering the system constraints. A test system consisting of six generation unit is tested by using the proposed method.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Ramlan, Nur Ajlaa Amirah
2013238216
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: Competitive bidding of energy, electricity market, ancillary services
Date: 2017
URI: https://ir.uitm.edu.my/id/eprint/67246
Edit Item
Edit Item

Download

[thumbnail of 67246.pdf] Text
67246.pdf

Download (100kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:
On Shelf

ID Number

67246

Indexing

Statistic

Statistic details