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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Rajakumar, P.; Balasubramaniam, P.M.; Parimalasundar, E.; Suresh, K.; Aravind, P. Title A name given to the resource Optimized placement and sizing of solar photovoltaic distributed generation using jellyfish search algorithm for enhanced power system performance Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Scientific Reports;Volume;15;Issue;1;Article No.;20755; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1038/s41598-025-08227-4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41598-025-08227-4</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105009531366?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105009531366?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajakumar P., Vel Tech Rangarajan Dr.Sagunthala R &amp; D Institute of Science and Technology, Tamil Nadu, Chennai, India; Balasubramaniam P.M., Department of ECE, Hindusthan Institute of Technology, Tamil Nadu, Coimbatore, India; Parimalasundar E., Mohan Babu University, Tirupati, India; Suresh K., Christ (Deemed to be University), Bangalore, India; Aravind P., Mattu University, Mattu, Ethiopia Description An account of the resource The strategic integration of distributed generation (DG) units into distribution power networks (DPNs) is pivotal for augmenting system efficiency and stability. This study introduces an advanced metaheuristic optimization framework leveraging the Jellyfish Search Algorithm (JSA) for the optimal placement and sizing of solar photovoltaic (PV) DG units. The formulated multi-objective function incorporates real power loss (RPL) minimization, voltage deviation index (VDI) reduction, and voltage stability index (VSI) enhancement, employing a weighted sum approach (WSA) to ensure computational rigor. The efficacy of the proposed methodology is rigorously validated on the IEEE 33-bus radial DPN under single and multiple PV system deployment scenarios. For single PV system optimized inclusion, RPL of the DPN is cut down from 210.98kW to 102.89kW, total VDI is reduced from 1.8047 p.u to 0.5331 p.u, and minimum VSI is increased from 0.6671 to 0.7559. For two PV DG units inclusion, RPL is reduced to 82.99kW, total VDI is reduced to 0.6518 p.u with a least VSI improved to 0.8848. However, better result is obtained with three units of DG placement with RPL reduced to 69.59kW, total VDI decreased to 0.3293 p.u with a least VSI of the test system increased to 0.8916. Comparative analyses against state-of-the-art metaheuristic algorithms underscore the superior convergence efficiency and optimality of JSA in addressing nonlinearity and high-dimensionality constraints. Empirical results substantiate substantial RPL reduction, bus voltage enhancement, and system stability reinforcement, establishing JSA as an avant-garde paradigm in DG optimization. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2025. Subject The topic of the resource Distributed generation; Jellyfish search algorithm; Metaheuristic optimization; Photovoltaic; Power loss; Voltage deviation; Voltage stability Publisher An entity responsible for making the resource available Nature Research Relation A related resource ISSN: 20452322; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Format The file format, physical medium, or dimensions of the resource online