An improved particle swarm optimization to solve non-smooth economic dispatch problems in power system / Zulfadli Jaladudin

Jaladudin, Zulfadli (2017) An improved particle swarm optimization to solve non-smooth economic dispatch problems in power system / Zulfadli Jaladudin. Degree thesis, Universiti Teknologi MARA (UiTM).
Abstract

This study presents the solution to non-smooth Economic Dispatch (ED) problem in power system considering the valve-point loading by using an improved technique of Particle Swarm Optimization (PSO). This method has been improvised by using Gaussian Mutation (GM) operator in order to improve the capability of basic PSO. The proposed technique was used on case study consisting of 3 and 13 generation units. The results obtained by the proposed method were compared with basic PSO.

Item Details
Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Jaladudin, Zulfadli
2013311689
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
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 Electrical Engineering (Hons)
Keywords: Economic dispatch, non-smooth, Gaussian Mutation
Date: 2017
URI: https://ir.uitm.edu.my/id/eprint/67262
Edit Item
Edit Item
Downloads & Files
[thumbnail of 67262.pdf]
Text
67262.pdf
Download (75kB)
Location & Physical Holdings
Digital Copy
Physical Location
  • Koleksi Akses Terhad | PTAR Utama | Shah Alam
Item Status
On Shelf
Indexing & Metrics
Google Scholar BASE