A hybrid optimization technique for solving economic emission load dispatch problem

This paper presents the application of a hybrid optimization technique termed as Immune-Evolutionary Programming (IEP) to solve Economic Emission Load Dispatch (EELD) of power system. IEP has been tested on the IEEE 30-Bus Reliability Test System (RTS) with two case studies: base case and loaded cas...

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Main Authors: Roslan N., Khader P.S.A., Nordin A., Jaafar S.
Other Authors: 57205233093
Format: Article
Published: World Academy of Research in Science and Engineering 2023
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spelling my.uniten.dspace-256622023-05-29T16:12:24Z A hybrid optimization technique for solving economic emission load dispatch problem Roslan N. Khader P.S.A. Nordin A. Jaafar S. 57205233093 36926269300 57219410610 57193688342 This paper presents the application of a hybrid optimization technique termed as Immune-Evolutionary Programming (IEP) to solve Economic Emission Load Dispatch (EELD) of power system. IEP has been tested on the IEEE 30-Bus Reliability Test System (RTS) with two case studies: base case and loaded case. The objective of the optimization process is to minimize the total emission. Total system loss and total generation cost are calculated and observed while minimizing the emission. It is found that IEP is suitable to be used to solve EELD problemin giving better total emission, total system loss and total generation cost compared to the pre-optimization results for the both base case and loaded case. � 2020, World Academy of Research in Science and Engineering. All rights reserved. Final 2023-05-29T08:12:23Z 2023-05-29T08:12:23Z 2020 Article 10.30534/ijeter/2020/1881.12020 2-s2.0-85092651387 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092651387&doi=10.30534%2fijeter%2f2020%2f1881.12020&partnerID=40&md5=66b66b0a51521246e510c3f7e86abee2 https://irepository.uniten.edu.my/handle/123456789/25662 8 1 Special Issue 1 113 119 All Open Access, Bronze World Academy of Research in Science and Engineering Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description This paper presents the application of a hybrid optimization technique termed as Immune-Evolutionary Programming (IEP) to solve Economic Emission Load Dispatch (EELD) of power system. IEP has been tested on the IEEE 30-Bus Reliability Test System (RTS) with two case studies: base case and loaded case. The objective of the optimization process is to minimize the total emission. Total system loss and total generation cost are calculated and observed while minimizing the emission. It is found that IEP is suitable to be used to solve EELD problemin giving better total emission, total system loss and total generation cost compared to the pre-optimization results for the both base case and loaded case. � 2020, World Academy of Research in Science and Engineering. All rights reserved.
author2 57205233093
author_facet 57205233093
Roslan N.
Khader P.S.A.
Nordin A.
Jaafar S.
format Article
author Roslan N.
Khader P.S.A.
Nordin A.
Jaafar S.
spellingShingle Roslan N.
Khader P.S.A.
Nordin A.
Jaafar S.
A hybrid optimization technique for solving economic emission load dispatch problem
author_sort Roslan N.
title A hybrid optimization technique for solving economic emission load dispatch problem
title_short A hybrid optimization technique for solving economic emission load dispatch problem
title_full A hybrid optimization technique for solving economic emission load dispatch problem
title_fullStr A hybrid optimization technique for solving economic emission load dispatch problem
title_full_unstemmed A hybrid optimization technique for solving economic emission load dispatch problem
title_sort hybrid optimization technique for solving economic emission load dispatch problem
publisher World Academy of Research in Science and Engineering
publishDate 2023
_version_ 1806424441327976448
score 13.222552