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Multi-objective immune-commensal-evolutionary programming for total production cost and total system loss minimization via integrated economic dispatch and distributed generation installation

Computer programming; Costs; Distributed computer systems; Distributed power generation; Electric load dispatching; Evolutionary algorithms; Immune system; Multiobjective optimization; Artificial Immune System; Distributed generation installation; Economic Dispatch; Economic dispatch problems; Multi...

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Main Authors: Mansor M.H., Musirin I., Othman M.M.
Other Authors: 56372667100
Format: Article
Published: MDPI 2023
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spelling my.uniten.dspace-259152023-05-29T17:05:32Z Multi-objective immune-commensal-evolutionary programming for total production cost and total system loss minimization via integrated economic dispatch and distributed generation installation Mansor M.H. Musirin I. Othman M.M. 56372667100 8620004100 35944613200 Computer programming; Costs; Distributed computer systems; Distributed power generation; Electric load dispatching; Evolutionary algorithms; Immune system; Multiobjective optimization; Artificial Immune System; Distributed generation installation; Economic Dispatch; Economic dispatch problems; Multi objective; Multi-objectives optimization; Symbiotic organism search; Symbiotics; System loss; Total production cost; Scheduling Economic Dispatch (ED) problems have been solved using single-objective optimization for so long, as Grid System Operators (GSOs) previously only focused on minimizing the total production cost. In modern power systems, GSOs require not only optimizing the total production cost but also, at the same time, optimizing other important objectives, such as the total emissions of the greenhouse gasses, total system loss and voltage stability. This requires a suitable multi-objective optimization approach in ensuring the ED solution produced is satisfying all the objectives. This paper presents a new multi-objective optimization technique termed Multi-Objective Immune-Commensal-Evolutionary Programming (MOICEP) for minimizing the total production cost and total system loss via integrated Economic Dispatch and Distributed Generation installation (ED-DG). This involved the application of a weighted-sum multi-objective approach that combined with an optimization technique called Immune-Commensal-Evolutionary Programming (ICEP). The proposed MOICEP has been compared with other multi-objective techniques, which are Multi-Objective-Evolutionary Programming (MOEP) and Multi-Objective-Artificial Immune System (MOAIS). It was found that MOICEP performs very well in producing better optimization results for all the three types of Economic Dispatch (ED) problems compared to MOEP and MOAIS in terms of cheap total production costs and low total system loss. � 2021 by the authors. Licensee MDPI, Basel, Switzerland. Final 2023-05-29T09:05:32Z 2023-05-29T09:05:32Z 2021 Article 10.3390/en14227733 2-s2.0-85119699784 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119699784&doi=10.3390%2fen14227733&partnerID=40&md5=dd2cd036636e91b8035530d3d5d815e7 https://irepository.uniten.edu.my/handle/123456789/25915 14 22 7733 All Open Access, Gold MDPI 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 Computer programming; Costs; Distributed computer systems; Distributed power generation; Electric load dispatching; Evolutionary algorithms; Immune system; Multiobjective optimization; Artificial Immune System; Distributed generation installation; Economic Dispatch; Economic dispatch problems; Multi objective; Multi-objectives optimization; Symbiotic organism search; Symbiotics; System loss; Total production cost; Scheduling
author2 56372667100
author_facet 56372667100
Mansor M.H.
Musirin I.
Othman M.M.
format Article
author Mansor M.H.
Musirin I.
Othman M.M.
spellingShingle Mansor M.H.
Musirin I.
Othman M.M.
Multi-objective immune-commensal-evolutionary programming for total production cost and total system loss minimization via integrated economic dispatch and distributed generation installation
author_sort Mansor M.H.
title Multi-objective immune-commensal-evolutionary programming for total production cost and total system loss minimization via integrated economic dispatch and distributed generation installation
title_short Multi-objective immune-commensal-evolutionary programming for total production cost and total system loss minimization via integrated economic dispatch and distributed generation installation
title_full Multi-objective immune-commensal-evolutionary programming for total production cost and total system loss minimization via integrated economic dispatch and distributed generation installation
title_fullStr Multi-objective immune-commensal-evolutionary programming for total production cost and total system loss minimization via integrated economic dispatch and distributed generation installation
title_full_unstemmed Multi-objective immune-commensal-evolutionary programming for total production cost and total system loss minimization via integrated economic dispatch and distributed generation installation
title_sort multi-objective immune-commensal-evolutionary programming for total production cost and total system loss minimization via integrated economic dispatch and distributed generation installation
publisher MDPI
publishDate 2023
_version_ 1806426251134500864
score 13.214268

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