Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Optimal allocation of solar photovoltaic distributed generation in electrical distribution networks using Archimedes optimization algorithm Subject The topic of the resource Archimedes optimization algorithm; Composite load modelling; Distributed generation; Electrical distribution network; Solar photovoltaic system Description An account of the resource This paper proposes to resolve optimal solar photovoltaic (SPV) system locations and sizes in electrical distribution networks using a novel Archimedes optimization algorithm (AOA) inspired by physical principles in order to minimize network dependence and greenhouse gas (GHG) emissions to the greatest extent possible. Loss sensitivity factors are used to predefine the search space for sites, and AOA is used to identify the optimal locations and sizes of SPV systems for reducing grid dependence and GHG emissions from conventional power plants. Experiments with composite agriculture loads on a practical Indian 22-bus agricultural feeder, a 28-bus rural feeder and an IEEE 85-bus feeder demonstrated the critical nature of optimally distributed SPV systems for minimizing grid reliance and reducing GHG emissions from conventional energy sources. Additionally, the voltage profile of the network has been enhanced, resulting in significant reductions in distribution losses. The results of AOA were compared to those of several other nature-inspired heuristic algorithms previously published in the literature, and it was observed that AOA outperformed them in terms of convergence and redundancy when solving complex, non-linear and multivariable optimization problems. The Author(s) 2022. Creator An entity primarily responsible for making the resource Janamala V.; Rani K.R. Source A related resource from which the described resource is derived Clean Energy, Vol-6, No. 2, pp. 1036-1052. Publisher An entity responsible for making the resource available Oxford University Press Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1093/ce/zkac010" target="_blank" rel="noreferrer noopener">https://doi.org/10.1093/ce/zkac010</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126752288&amp;doi=10.1093%2Fce%2Fzkac010&amp;partnerID=40&amp;md5=907609d2e828ab9a03859695cead9b45" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126752288&amp;doi=10.1093%2fce%2fzkac010&amp;partnerID=40&amp;md5=907609d2e828ab9a03859695cead9b45</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 25154230 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Janamala V., Department of Electrical and Electronics Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, 560 074, India; Rani K.R., Department of Electrical &amp; Electronics Engineering, R.V.R. &amp; J.C. College of Engineering, Andhra Pradesh, Guntur, 522 019, India