Particle swarm optimization technique for optimal economic load dispatch / Muhammad Hilmi Nordin

In the operation and planning of a power system, Economic Load Dispatch is a crucial task to be performed which decided the generation schedule of generating units with the objective of minimizing the total fuel cost while maintaining the operational constraints. In this proposal paper, an optimizat...

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Main Author:	Nordin, Muhammad Hilmi
Format:	Thesis
Language:	English
Published:	2014
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	https://ir.uitm.edu.my/id/eprint/79488/1/79488.pdf
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id	my-uitm-ir.79488
record_format	uketd_dc
spelling	my-uitm-ir.794882024-08-22T03:33:47Z Particle swarm optimization technique for optimal economic load dispatch / Muhammad Hilmi Nordin 2014 Nordin, Muhammad Hilmi TK Electrical engineering. Electronics. Nuclear engineering In the operation and planning of a power system, Economic Load Dispatch is a crucial task to be performed which decided the generation schedule of generating units with the objective of minimizing the total fuel cost while maintaining the operational constraints. In this proposal paper, an optimization technique called the Particle Swarm Optimization (PSO) technique that is a meta-heuristic optimization technique, are proposed to solve the economic load dispatch problem. PSO is an algorithm that is modeled on swarm intelligence that finds a solution to an optimization problem in a search space, or model, and predicts social behavior in the presence of objectives. The application of PSO in economic load dispatch problem can be considered as one of the most complex optimization problem 2014 Thesis https://ir.uitm.edu.my/id/eprint/79488/ https://ir.uitm.edu.my/id/eprint/79488/1/79488.pdf text en public degree Universiti Teknologi Mara (UiTM) Faculty of Electrical Engineering
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Nordin, Muhammad Hilmi Particle swarm optimization technique for optimal economic load dispatch / Muhammad Hilmi Nordin
description	In the operation and planning of a power system, Economic Load Dispatch is a crucial task to be performed which decided the generation schedule of generating units with the objective of minimizing the total fuel cost while maintaining the operational constraints. In this proposal paper, an optimization technique called the Particle Swarm Optimization (PSO) technique that is a meta-heuristic optimization technique, are proposed to solve the economic load dispatch problem. PSO is an algorithm that is modeled on swarm intelligence that finds a solution to an optimization problem in a search space, or model, and predicts social behavior in the presence of objectives. The application of PSO in economic load dispatch problem can be considered as one of the most complex optimization problem
format	Thesis
qualification_level	Bachelor degree
author	Nordin, Muhammad Hilmi
author_facet	Nordin, Muhammad Hilmi
author_sort	Nordin, Muhammad Hilmi
title	Particle swarm optimization technique for optimal economic load dispatch / Muhammad Hilmi Nordin
title_short	Particle swarm optimization technique for optimal economic load dispatch / Muhammad Hilmi Nordin
title_full	Particle swarm optimization technique for optimal economic load dispatch / Muhammad Hilmi Nordin
title_fullStr	Particle swarm optimization technique for optimal economic load dispatch / Muhammad Hilmi Nordin
title_full_unstemmed	Particle swarm optimization technique for optimal economic load dispatch / Muhammad Hilmi Nordin
title_sort	particle swarm optimization technique for optimal economic load dispatch / muhammad hilmi nordin
granting_institution	Universiti Teknologi Mara (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2014
url	https://ir.uitm.edu.my/id/eprint/79488/1/79488.pdf
_version_	1811768676881268736

Particle swarm optimization technique for optimal economic load dispatch / Muhammad Hilmi Nordin

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