Solution of economic dispatch using particle swarm optimization / Muhammad Afif Fikri Abd Khalid

Abd Khalid, Muhammad Afif Fikri (2017) Solution of economic dispatch using particle swarm optimization / Muhammad Afif Fikri Abd Khalid. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

This thesis discusses the solution of Economic Dispatch (ED) problems which is to minimize the total cost of generation in power system operation by using Particle Swarm Optimization (PSO). In this study, the PSO is suggested in order to improve the local search by allocating generation among the committed units such that the constraints imposed are satisfied and the energy requirements are minimized. The proposed PSO method is developed using MATLAB programming. The PSO method is tested on six generator units system. The results obtained proved that PSO is able to solve the problem with minimum total cost of generation.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Abd Khalid, Muhammad Afif Fikri
2012680248
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: Artificial Bee Colony, equality constraints, PSO
Date: 2017
URI: https://ir.uitm.edu.my/id/eprint/67263
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