An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm

Flower Pollination Algorithm (FPA) is a new biologically inspired meta-heuristic optimization technique based the pollination process of flowers. FPA mimics the flower pollination characteristics in order to survival by the fittest. This research presents implementation of FPA optimization in solvi...

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Main Author:	Hong, Mee Song
Format:	Thesis
Language:	English
Published:	2016
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/17594/1/An%20alternative%20method%20to%20solve%20combined%20economic%20emission%20dispatch%20problems%20using%20flower%20pollination%20algorithm.PDF
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spelling	my-ump-ir.175942023-01-31T02:38:38Z An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm 2016-08 Hong, Mee Song TK Electrical engineering. Electronics Nuclear engineering Flower Pollination Algorithm (FPA) is a new biologically inspired meta-heuristic optimization technique based the pollination process of flowers. FPA mimics the flower pollination characteristics in order to survival by the fittest. This research presents implementation of FPA optimization in solving Combined Economic Emission Dispatch (CEED) problems in power system which minimize total generation cost by minimizing fuel cost and emission. Increasing in power demand requires effective solution to provide sufficient electricity to customer with minimum cost of operation at the same time considering emission. CEED actually is a multi-objective problem and need complex programming to solve it. The problem becomes complicated when there is practical constraints to be considered as well. To simplify the programming, objective of economic dispatch (ED) and emission dispatch (EmD) are combined into a single function by price penalty factor and analysed using weighted sum method to choose the best compromising result. In this research, the valve point loading effect problem in power system also will be considered. The proposed algorithm are tested on four different test systems which are: 6-generating unit and 11-generating unit without valve point effect with no transmission loss, 10-generating unit with having valve point effect and transmission loss, and lastly 40-generating unit with having valve point effect without transmission loss. The results of these four different test cases were compared with the optimization techniques reported in recent literature in order to observe the effectiveness of FPA. Result shows FPA able to perform better than other algorithms by having minimum fuel cost and emission. 2016-08 Thesis http://umpir.ump.edu.my/id/eprint/17594/ http://umpir.ump.edu.my/id/eprint/17594/1/An%20alternative%20method%20to%20solve%20combined%20economic%20emission%20dispatch%20problems%20using%20flower%20pollination%20algorithm.PDF other en public masters Universiti Malaysia Pahang Faculty of Electrical and Electronics Engineering Mohd Herwan, Sulaiman
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
collection	UMPSA Institutional Repository
language	English
advisor	Mohd Herwan, Sulaiman
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Hong, Mee Song An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm
description	Flower Pollination Algorithm (FPA) is a new biologically inspired meta-heuristic optimization technique based the pollination process of flowers. FPA mimics the flower pollination characteristics in order to survival by the fittest. This research presents implementation of FPA optimization in solving Combined Economic Emission Dispatch (CEED) problems in power system which minimize total generation cost by minimizing fuel cost and emission. Increasing in power demand requires effective solution to provide sufficient electricity to customer with minimum cost of operation at the same time considering emission. CEED actually is a multi-objective problem and need complex programming to solve it. The problem becomes complicated when there is practical constraints to be considered as well. To simplify the programming, objective of economic dispatch (ED) and emission dispatch (EmD) are combined into a single function by price penalty factor and analysed using weighted sum method to choose the best compromising result. In this research, the valve point loading effect problem in power system also will be considered. The proposed algorithm are tested on four different test systems which are: 6-generating unit and 11-generating unit without valve point effect with no transmission loss, 10-generating unit with having valve point effect and transmission loss, and lastly 40-generating unit with having valve point effect without transmission loss. The results of these four different test cases were compared with the optimization techniques reported in recent literature in order to observe the effectiveness of FPA. Result shows FPA able to perform better than other algorithms by having minimum fuel cost and emission.
format	Thesis
qualification_level	Master's degree
author	Hong, Mee Song
author_facet	Hong, Mee Song
author_sort	Hong, Mee Song
title	An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm
title_short	An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm
title_full	An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm
title_fullStr	An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm
title_full_unstemmed	An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm
title_sort	alternative method to solve combined economic emission dispatch problems using flower pollination algorithm
granting_institution	Universiti Malaysia Pahang
granting_department	Faculty of Electrical and Electronics Engineering
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/17594/1/An%20alternative%20method%20to%20solve%20combined%20economic%20emission%20dispatch%20problems%20using%20flower%20pollination%20algorithm.PDF
_version_	1783732019841204224

An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm

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