Economic dispatch with piecewise quadratic cost functions using particle swarm optimization / Mohamad Erzat Nahari

This paper presents a technique to solve economic dispatch (ED) with piecewise quadratic cost function (PQCF) by using particle swarm optimization (PSO) technique. Traditionally, each generator is represented by a single cost function. However, it is more realistic to represent the cost function as...

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主要作者:	Nahari, Mohamad Erzat
格式:	Thesis
语言:	English
出版:	2012
主题:	Production of electric energy or power Powerplants Central stations
在线阅读:	https://ir.uitm.edu.my/id/eprint/67086/2/67086.pdf
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id	my-uitm-ir.67086
record_format	uketd_dc
spelling	my-uitm-ir.670862023-01-05T03:58:15Z Economic dispatch with piecewise quadratic cost functions using particle swarm optimization / Mohamad Erzat Nahari 2012 Nahari, Mohamad Erzat Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission This paper presents a technique to solve economic dispatch (ED) with piecewise quadratic cost function (PQCF) by using particle swarm optimization (PSO) technique. Traditionally, each generator is represented by a single cost function. However, it is more realistic to represent the cost function as a piecewise quadratic function when deal with generation units that use multiple fuel sources. In this study, the proposed PSO technique was tested on 10 units system. The results obtained show that the proposed PSO method was indeed capable of obtaining the solutions of PQCF problems. 2012 Thesis https://ir.uitm.edu.my/id/eprint/67086/ https://ir.uitm.edu.my/id/eprint/67086/2/67086.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Sheikh Rahimullah, Bibi Norasiqin
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Sheikh Rahimullah, Bibi Norasiqin
topic	Production of electric energy or power Powerplants Central stations Production of electric energy or power Powerplants Central stations
spellingShingle	Production of electric energy or power Powerplants Central stations Production of electric energy or power Powerplants Central stations Nahari, Mohamad Erzat Economic dispatch with piecewise quadratic cost functions using particle swarm optimization / Mohamad Erzat Nahari
description	This paper presents a technique to solve economic dispatch (ED) with piecewise quadratic cost function (PQCF) by using particle swarm optimization (PSO) technique. Traditionally, each generator is represented by a single cost function. However, it is more realistic to represent the cost function as a piecewise quadratic function when deal with generation units that use multiple fuel sources. In this study, the proposed PSO technique was tested on 10 units system. The results obtained show that the proposed PSO method was indeed capable of obtaining the solutions of PQCF problems.
format	Thesis
qualification_level	Bachelor degree
author	Nahari, Mohamad Erzat
author_facet	Nahari, Mohamad Erzat
author_sort	Nahari, Mohamad Erzat
title	Economic dispatch with piecewise quadratic cost functions using particle swarm optimization / Mohamad Erzat Nahari
title_short	Economic dispatch with piecewise quadratic cost functions using particle swarm optimization / Mohamad Erzat Nahari
title_full	Economic dispatch with piecewise quadratic cost functions using particle swarm optimization / Mohamad Erzat Nahari
title_fullStr	Economic dispatch with piecewise quadratic cost functions using particle swarm optimization / Mohamad Erzat Nahari
title_full_unstemmed	Economic dispatch with piecewise quadratic cost functions using particle swarm optimization / Mohamad Erzat Nahari
title_sort	economic dispatch with piecewise quadratic cost functions using particle swarm optimization / mohamad erzat nahari
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2012
url	https://ir.uitm.edu.my/id/eprint/67086/2/67086.pdf
_version_	1783735659188453376

Economic dispatch with piecewise quadratic cost functions using particle swarm optimization / Mohamad Erzat Nahari

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