Optimal allocation of distributed generation in meshed power networks: A metaheuristic approach

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dc.authoridShahzad, Sulman/0000-0002-8082-1241
dc.contributor.authorKhan, Muhammad Saad
dc.contributor.authorWaheed, Danial
dc.contributor.authorShahzad, Sulman
dc.contributor.authorAfzal, Suhail
dc.contributor.authorKillic, Heybet
dc.date.accessioned2025-02-22T14:08:58Z
dc.date.available2025-02-22T14:08:58Z
dc.date.issued2024
dc.departmentDicle Üniversitesien_US
dc.description.abstractThis paper introduces a novel metaheuristic technique, a COOT-based algorithm, to determine the optimal Distributed Generation (DG) allocation within a loop-configured network. This method significantly narrows the optimization gap by leveraging a COOT-based algorithm, ensuring accelerated convergence and resultant global optima. The core incentive for employing this technique is to substantially mitigate power loss, curtail voltage deviation, and bolster system stability in a loop distribution network. To attain optimal outcomes, the elaborated COOT and improved grey wolf optimization improved grey wolf optimization (IGWO) algorithms were executed on IEEE bus-33 and 69 mesh distribution networks (MDNs) under varying power factors. The derived mathematical results effectively underscore accomplishing the stipulated objectives: a marked reduction in voltage deviation and power loss coupled with an augmentation in system stability. Notably, at unity, incorporating DGs resulted in a paramount reduction in power loss, attaining a decrease of 78% and 85% for bus-33 and 69 MDNs, respectively. Moreover, an impressive decrease in power loss by 94% and 98% was observed at the optimal power factor for both MDNs. A comparative evaluation of the results accentuates that the proposed COOT and IGWO algorithms eclipse other documented research in performance, showcasing superior efficiency on a techno-economic basis. This paper introduces a novel metaheuristic technique to determine the optimal Distributed Generation (DG) allocation within a loop-configured network. This method significantly narrows the optimization gap by leveraging a COOT-based algorithm, ensuring accelerated convergence and resultant global optima. The core incentive for employing this technique is to substantially mitigate power loss, curtail voltage deviation, and bolster system stability in a loop distribution network. imageen_US
dc.identifier.doi10.1049/rpg2.13004
dc.identifier.endpage1595en_US
dc.identifier.issn1752-1416
dc.identifier.issn1752-1424
dc.identifier.issue8en_US
dc.identifier.scopus2-s2.0-85192059943en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage1570en_US
dc.identifier.urihttps://doi.org/10.1049/rpg2.13004
dc.identifier.urihttps://hdl.handle.net/11468/29739
dc.identifier.volume18en_US
dc.identifier.wosWOS:001209596500001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherInst Engineering Technology-Ieten_US
dc.relation.ispartofIet Renewable Power Generationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzKA_WOS_20250222
dc.subjectdistributed power generationen_US
dc.subjectpower distributionen_US
dc.subjectrenewable energy sourcesen_US
dc.titleOptimal allocation of distributed generation in meshed power networks: A metaheuristic approachen_US
dc.typeArticleen_US

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