Evolutionary algorithm optimization for dynamic economic dispatch considering uncertainties / Khairul Faizee Korsin

In this study, it is proposed to solve the dynamic economic dispatch problem using evolutionary programming (EP) by considering uncertainties under the deregulated energy and reserve market. The goal of the proposed method is to maximize the generation company's own profit and to hedge its risk...

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Main Author:	Korsin, Khairul Faizee
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Production of electric energy or power Powerplants Central stations
Online Access:	https://ir.uitm.edu.my/id/eprint/67312/2/67312.pdf
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id	my-uitm-ir.67312
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spelling	my-uitm-ir.673122023-02-03T15:33:05Z Evolutionary algorithm optimization for dynamic economic dispatch considering uncertainties / Khairul Faizee Korsin 2017 Korsin, Khairul Faizee Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission In this study, it is proposed to solve the dynamic economic dispatch problem using evolutionary programming (EP) by considering uncertainties under the deregulated energy and reserve market. The goal of the proposed method is to maximize the generation company's own profit and to hedge its risks as a participant in the energy market. In the past, utilities had to produce power to satisfy their customers with the objective to only operate with a minimum total production cost. But in the new structure system, the generation company can schedule their generators with objective of maximizing their own company's profit. The uncertainties that will be considered are demand and reserve required in each market, energy and reserve price in each market, and the probability that reserves are called upon the actual operation time. By using this method, the optimal amount of power and reserve can be determined. The reserve payment method that is used in this study is the payment for power delivered. Simulations has been performed on a 10-unit generator test system to show the effectiveness of the proposed method. 2017 Thesis https://ir.uitm.edu.my/id/eprint/67312/ https://ir.uitm.edu.my/id/eprint/67312/2/67312.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 Korsin, Khairul Faizee Evolutionary algorithm optimization for dynamic economic dispatch considering uncertainties / Khairul Faizee Korsin
description	In this study, it is proposed to solve the dynamic economic dispatch problem using evolutionary programming (EP) by considering uncertainties under the deregulated energy and reserve market. The goal of the proposed method is to maximize the generation company's own profit and to hedge its risks as a participant in the energy market. In the past, utilities had to produce power to satisfy their customers with the objective to only operate with a minimum total production cost. But in the new structure system, the generation company can schedule their generators with objective of maximizing their own company's profit. The uncertainties that will be considered are demand and reserve required in each market, energy and reserve price in each market, and the probability that reserves are called upon the actual operation time. By using this method, the optimal amount of power and reserve can be determined. The reserve payment method that is used in this study is the payment for power delivered. Simulations has been performed on a 10-unit generator test system to show the effectiveness of the proposed method.
format	Thesis
qualification_level	Bachelor degree
author	Korsin, Khairul Faizee
author_facet	Korsin, Khairul Faizee
author_sort	Korsin, Khairul Faizee
title	Evolutionary algorithm optimization for dynamic economic dispatch considering uncertainties / Khairul Faizee Korsin
title_short	Evolutionary algorithm optimization for dynamic economic dispatch considering uncertainties / Khairul Faizee Korsin
title_full	Evolutionary algorithm optimization for dynamic economic dispatch considering uncertainties / Khairul Faizee Korsin
title_fullStr	Evolutionary algorithm optimization for dynamic economic dispatch considering uncertainties / Khairul Faizee Korsin
title_full_unstemmed	Evolutionary algorithm optimization for dynamic economic dispatch considering uncertainties / Khairul Faizee Korsin
title_sort	evolutionary algorithm optimization for dynamic economic dispatch considering uncertainties / khairul faizee korsin
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/67312/2/67312.pdf
_version_	1783735678403608576

Evolutionary algorithm optimization for dynamic economic dispatch considering uncertainties / Khairul Faizee Korsin

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