Optimal operation of micro-grids to reduce energy production costs and environmental pollution using ant colony optimization algorithm (ACO)

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dc.authorscopusid7006370499
dc.authorscopusid26423041400
dc.authorscopusid55062117500
dc.contributor.authorLorenzini, Giulio
dc.contributor.authorKamarposhti, Mehrdad Ahmadi
dc.contributor.authorSolyman, Ahmed Amin Ahmed
dc.date.accessioned2024-09-11T19:57:38Z
dc.date.available2024-09-11T19:57:38Z
dc.date.issued2021
dc.departmentİstanbul Gelişim Üniversitesien_US
dc.description.abstractWith increasing demand for electric energy and requesting higher quality by subscribers, the electric power industry has moved towards using new technologies. Many modern societies seek to use the systems of new energy management in order to reduce environmental pollutants and operational costs in electrical energy systems. Therefore, exploiting various resources of renewable energies, micro-grids can be considered as a significant tool to attain these objectives. According to the subject, Ant Colony Optimization algorithm (ACO) is used in this paper to optimize one micro-grid sample in order to reduce the cost of generating power and to reduce environmental pollution to increase reliability. The recommended algorithm has been done in two scenarios and each in two sections. In the first scenario, energy management will be conducted for all distributed generation resources and in the second scenario it is assumed that wind and solar products, produce their maximum power and energy management are conducted for the reminder elements and the results are compared with other optimization algorithms. © 2021 Lavoisier. All rights reserved.en_US
dc.identifier.doi10.18280/jesa.540102
dc.identifier.endpage19en_US
dc.identifier.issn1269-6935en_US
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85103210269en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage9en_US
dc.identifier.urihttps://doi.org/10.18280/jesa.540102
dc.identifier.urihttps://hdl.handle.net/11363/8322
dc.identifier.volume54en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInternational Information and Engineering Technology Associationen_US
dc.relation.ispartofJournal Europeen des Systemes Automatisesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240903_Gen_US
dc.subjectAnt colony optimization algorithm; Distributed generation; Microgrid; Reducing cost; Reducing pollution; Renewable energy source; Resources of energy distributionen_US
dc.titleOptimal operation of micro-grids to reduce energy production costs and environmental pollution using ant colony optimization algorithm (ACO)en_US
dc.typeArticleen_US

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