An application of barnacles mating optimizer algorithm for combined economic and emission dispatch solution

This article proposes an application of recent technique namely Barnacles Mating Optimizer (BMO) to solve Combined Economic and Emission (CEED) dispatch problems. CEED is known as an extension of well-known Economic Dispatch (ED) problem which basically considering not only to minimize the cost of p...

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Main Authors: Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Mohd Mawardi, Saari, Amir Izzani, Mohamed
Format: Conference or Workshop Item
Language:English
English
Published: Springer 2021
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/28433/1/51.%20An%20application%20of%20barnacles%20mating%20optimizer%20algorithm.pdf
http://umpir.ump.edu.my/id/eprint/28433/2/51.1%20An%20application%20of%20barnacles%20mating%20optimizer%20algorithm.pdf
http://umpir.ump.edu.my/id/eprint/28433/
https://doi.org/10.1007/978-981-15-5281-6_79
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spelling my.ump.umpir.284332021-01-26T02:46:46Z http://umpir.ump.edu.my/id/eprint/28433/ An application of barnacles mating optimizer algorithm for combined economic and emission dispatch solution Mohd Herwan, Sulaiman Zuriani, Mustaffa Mohd Mawardi, Saari Amir Izzani, Mohamed TK Electrical engineering. Electronics Nuclear engineering This article proposes an application of recent technique namely Barnacles Mating Optimizer (BMO) to solve Combined Economic and Emission (CEED) dispatch problems. CEED is known as an extension of well-known Economic Dispatch (ED) problem which basically considering not only to minimize the cost of power generation, but also to minimize the emission level from the generated power to the environment. These two objectives are conflicting each other and CEED problem is to find the tradeoff between these two objectives simultaneously while satisfying all the equality and inequality constraints. BMO on the other hand is the recent meta-heuristic technique based on the mating behavior of the barnacles. It will be used to solve the CEED problem by implementing the price penalty and weighting factors in order to obtain the best combination of power generation so that minimization of cost and emission can be achieved. In order to show the effectiveness of proposed BMO, 6 -units and 10-units systems are utilized and compared with the selected techniques available in the literatures. Springer 2021 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/28433/1/51.%20An%20application%20of%20barnacles%20mating%20optimizer%20algorithm.pdf pdf en http://umpir.ump.edu.my/id/eprint/28433/2/51.1%20An%20application%20of%20barnacles%20mating%20optimizer%20algorithm.pdf Mohd Herwan, Sulaiman and Zuriani, Mustaffa and Mohd Mawardi, Saari and Amir Izzani, Mohamed (2021) An application of barnacles mating optimizer algorithm for combined economic and emission dispatch solution. In: Proceedings of the 11th National Technical Seminar on Unmanned System Technology 2019 (NUSYS’19), 2-3 December 2019 , Universiti Malaysia Pahang, Gambang Campus, Kuantan, Pahang, Malaysia. pp. 1115-1124., 666. ISBN 978-981-15-5281-6 https://doi.org/10.1007/978-981-15-5281-6_79
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mohd Herwan, Sulaiman
Zuriani, Mustaffa
Mohd Mawardi, Saari
Amir Izzani, Mohamed
An application of barnacles mating optimizer algorithm for combined economic and emission dispatch solution
description This article proposes an application of recent technique namely Barnacles Mating Optimizer (BMO) to solve Combined Economic and Emission (CEED) dispatch problems. CEED is known as an extension of well-known Economic Dispatch (ED) problem which basically considering not only to minimize the cost of power generation, but also to minimize the emission level from the generated power to the environment. These two objectives are conflicting each other and CEED problem is to find the tradeoff between these two objectives simultaneously while satisfying all the equality and inequality constraints. BMO on the other hand is the recent meta-heuristic technique based on the mating behavior of the barnacles. It will be used to solve the CEED problem by implementing the price penalty and weighting factors in order to obtain the best combination of power generation so that minimization of cost and emission can be achieved. In order to show the effectiveness of proposed BMO, 6 -units and 10-units systems are utilized and compared with the selected techniques available in the literatures.
format Conference or Workshop Item
author Mohd Herwan, Sulaiman
Zuriani, Mustaffa
Mohd Mawardi, Saari
Amir Izzani, Mohamed
author_facet Mohd Herwan, Sulaiman
Zuriani, Mustaffa
Mohd Mawardi, Saari
Amir Izzani, Mohamed
author_sort Mohd Herwan, Sulaiman
title An application of barnacles mating optimizer algorithm for combined economic and emission dispatch solution
title_short An application of barnacles mating optimizer algorithm for combined economic and emission dispatch solution
title_full An application of barnacles mating optimizer algorithm for combined economic and emission dispatch solution
title_fullStr An application of barnacles mating optimizer algorithm for combined economic and emission dispatch solution
title_full_unstemmed An application of barnacles mating optimizer algorithm for combined economic and emission dispatch solution
title_sort application of barnacles mating optimizer algorithm for combined economic and emission dispatch solution
publisher Springer
publishDate 2021
url http://umpir.ump.edu.my/id/eprint/28433/1/51.%20An%20application%20of%20barnacles%20mating%20optimizer%20algorithm.pdf
http://umpir.ump.edu.my/id/eprint/28433/2/51.1%20An%20application%20of%20barnacles%20mating%20optimizer%20algorithm.pdf
http://umpir.ump.edu.my/id/eprint/28433/
https://doi.org/10.1007/978-981-15-5281-6_79
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score 13.18916