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.

Metadata

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. 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 Electrical Engineering (Hons)
Keywords:	Economic dispatch, non-smooth, Gaussian Mutation
Date:	2017
URI:	https://ir.uitm.edu.my/id/eprint/67262