Multi-Objective Immune-Commensal-Evolutionary Programming for Total Production Cost and Total System Loss Minimization via Integrated Economic Dispatch and Distributed Generation Installation

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...

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Autores principales:	Mohd Helmi Mansor, Ismail Musirin, Muhammad Murtadha Othman
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	multi-objective optimization economic dispatch distributed generation installation evolutionary programming artificial immune system symbiotic organisms search Technology T
Acceso en línea:	https://doaj.org/article/e05243ec02c341f0aaf93f48d83ea7a1
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spelling	oai:doaj.org-article:e05243ec02c341f0aaf93f48d83ea7a12021-11-25T17:28:19ZMulti-Objective Immune-Commensal-Evolutionary Programming for Total Production Cost and Total System Loss Minimization via Integrated Economic Dispatch and Distributed Generation Installation10.3390/en142277331996-1073https://doaj.org/article/e05243ec02c341f0aaf93f48d83ea7a12021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/22/7733https://doaj.org/toc/1996-1073Economic 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.Mohd Helmi MansorIsmail MusirinMuhammad Murtadha OthmanMDPI AGarticlemulti-objective optimizationeconomic dispatchdistributed generation installationevolutionary programmingartificial immune systemsymbiotic organisms searchTechnologyTENEnergies, Vol 14, Iss 7733, p 7733 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	multi-objective optimization economic dispatch distributed generation installation evolutionary programming artificial immune system symbiotic organisms search Technology T
spellingShingle	multi-objective optimization economic dispatch distributed generation installation evolutionary programming artificial immune system symbiotic organisms search Technology T Mohd Helmi Mansor Ismail Musirin Muhammad Murtadha Othman Multi-Objective Immune-Commensal-Evolutionary Programming for Total Production Cost and Total System Loss Minimization via Integrated Economic Dispatch and Distributed Generation Installation
description	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.
format	article
author	Mohd Helmi Mansor Ismail Musirin Muhammad Murtadha Othman
author_facet	Mohd Helmi Mansor Ismail Musirin Muhammad Murtadha Othman
author_sort	Mohd Helmi Mansor
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 AG
publishDate	2021
url	https://doaj.org/article/e05243ec02c341f0aaf93f48d83ea7a1
work_keys_str_mv	AT mohdhelmimansor multiobjectiveimmunecommensalevolutionaryprogrammingfortotalproductioncostandtotalsystemlossminimizationviaintegratedeconomicdispatchanddistributedgenerationinstallation AT ismailmusirin multiobjectiveimmunecommensalevolutionaryprogrammingfortotalproductioncostandtotalsystemlossminimizationviaintegratedeconomicdispatchanddistributedgenerationinstallation AT muhammadmurtadhaothman multiobjectiveimmunecommensalevolutionaryprogrammingfortotalproductioncostandtotalsystemlossminimizationviaintegratedeconomicdispatchanddistributedgenerationinstallation
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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

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