An Environmentally Energy Dispatch Using New Meta Heuristic Evolutionary Programming

Basically,one important issue in the power system network is to provide the optimal Economic Load Dispatch (ELD) solution in order to guarantee the sustainable consumer load demand.However,today ELD solution is essential to include together with the environmental aspect and known as Environmental Ec...

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Main Author:	Mohamad Ridzuan, Mohamad Radzi
Format:	Thesis
Language:	English English
Published:	2018
Subjects:	T Technology (General)
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id	my-utem-ep.23310
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Hassan, Elia Erwani
topic	T Technology (General)
spellingShingle	T Technology (General) Mohamad Ridzuan, Mohamad Radzi An Environmentally Energy Dispatch Using New Meta Heuristic Evolutionary Programming
description	Basically,one important issue in the power system network is to provide the optimal Economic Load Dispatch (ELD) solution in order to guarantee the sustainable consumer load demand.However,today ELD solution is essential to include together with the environmental aspect and known as Environmental Economic Load Dispatch (EELD).For that reason, many researchers continue in the development of new simulation tool specifically to overcome the EELD problems.Therefore,this study prepared an improved hybrid metaheuristic technique named as New Meta Heuristic Evolutionary Programming (NMEP) to provide the best possible solution in solving the identified single objective and multi objective functions for EELD solution.This new technique a merging cloning strategy that involved in an Artificial Immune System (AIS) algorithm into algorithm of Meta Heuristic Evolutionary Programming (Meta-EP).The development of NMEP technique is to minimize total cost,reduce the total emission during generator operation through the common formula in EELD and lowest total system loss.Besides that,all mentioned objective functions were also optimized together simultaneously that formulated using the weighted sum method before had been executed on the multi objective NMEP or called MONMEP.Both individual and multi objective NMEP techniques performance were verified among other two common heuristic methods known as AIS and Meta-EP techniques.In addition,the best possible solution defined using the aggregate function method.Through this method,the selection of the best MOEELD solution became effortless as compared with MO individually that required compare two or more objective function in one time manually.Among those three optimization techniques the lowest total aggregate values mostly resulted via the NMEP technique.Based upon that,the proposed technique is proving as the outstanding method compared with Meta-EP and AIS techniques in solving the EELD problem for both standard IEEE 26 bus and 57 bus systems.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Mohamad Ridzuan, Mohamad Radzi
author_facet	Mohamad Ridzuan, Mohamad Radzi
author_sort	Mohamad Ridzuan, Mohamad Radzi
title	An Environmentally Energy Dispatch Using New Meta Heuristic Evolutionary Programming
title_short	An Environmentally Energy Dispatch Using New Meta Heuristic Evolutionary Programming
title_full	An Environmentally Energy Dispatch Using New Meta Heuristic Evolutionary Programming
title_fullStr	An Environmentally Energy Dispatch Using New Meta Heuristic Evolutionary Programming
title_full_unstemmed	An Environmentally Energy Dispatch Using New Meta Heuristic Evolutionary Programming
title_sort	environmentally energy dispatch using new meta heuristic evolutionary programming
granting_institution	UTeM
granting_department	Faculty Of Electrical Engineering
publishDate	2018
url	http://eprints.utem.edu.my/id/eprint/23310/1/An%20Environmentally%20Energy%20Dispatch%20Using%20New%20Meta%20Heuristic%20Evolutionary%20Programming.pdf http://eprints.utem.edu.my/id/eprint/23310/2/An%20Environmentally%20Energy%20Dispatch%20Using%20New%20Meta%20Heuristic%20Evolutionary%20Programming.pdf
_version_	1747834032812457984
spelling	my-utem-ep.233102022-02-07T11:25:02Z An Environmentally Energy Dispatch Using New Meta Heuristic Evolutionary Programming 2018 Mohamad Ridzuan, Mohamad Radzi T Technology (General) Basically,one important issue in the power system network is to provide the optimal Economic Load Dispatch (ELD) solution in order to guarantee the sustainable consumer load demand.However,today ELD solution is essential to include together with the environmental aspect and known as Environmental Economic Load Dispatch (EELD).For that reason, many researchers continue in the development of new simulation tool specifically to overcome the EELD problems.Therefore,this study prepared an improved hybrid metaheuristic technique named as New Meta Heuristic Evolutionary Programming (NMEP) to provide the best possible solution in solving the identified single objective and multi objective functions for EELD solution.This new technique a merging cloning strategy that involved in an Artificial Immune System (AIS) algorithm into algorithm of Meta Heuristic Evolutionary Programming (Meta-EP).The development of NMEP technique is to minimize total cost,reduce the total emission during generator operation through the common formula in EELD and lowest total system loss.Besides that,all mentioned objective functions were also optimized together simultaneously that formulated using the weighted sum method before had been executed on the multi objective NMEP or called MONMEP.Both individual and multi objective NMEP techniques performance were verified among other two common heuristic methods known as AIS and Meta-EP techniques.In addition,the best possible solution defined using the aggregate function method.Through this method,the selection of the best MOEELD solution became effortless as compared with MO individually that required compare two or more objective function in one time manually.Among those three optimization techniques the lowest total aggregate values mostly resulted via the NMEP technique.Based upon that,the proposed technique is proving as the outstanding method compared with Meta-EP and AIS techniques in solving the EELD problem for both standard IEEE 26 bus and 57 bus systems. 2018 Thesis http://eprints.utem.edu.my/id/eprint/23310/ http://eprints.utem.edu.my/id/eprint/23310/1/An%20Environmentally%20Energy%20Dispatch%20Using%20New%20Meta%20Heuristic%20Evolutionary%20Programming.pdf text en public http://eprints.utem.edu.my/id/eprint/23310/2/An%20Environmentally%20Energy%20Dispatch%20Using%20New%20Meta%20Heuristic%20Evolutionary%20Programming.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=112698 mphil masters UTeM Faculty Of Electrical Engineering Hassan, Elia Erwani 1. 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