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 Kurian, Jacob; Janamala, Varaprasad Title A name given to the resource Resilience-oriented optimal integration of photovoltaic, fast-charging stations, and energy storage systems in radial distribution systems Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Unconventional Resources;Volume;14;Issue;;Article No.;100428; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.uncres.2026.100428" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.uncres.2026.100428</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105039234482?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105039234482?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 Kurian J., Department of Electrical and Electronics Engineering, School of Engineering and Technology, Christ University, Kengeri Campus, Karnataka, Bengaluru, 560074, India; Janamala V., Department of Electrical and Electronics Engineering, School of Engineering and Technology, Christ University, Kengeri Campus, Karnataka, Bengaluru, 560074, India Description An account of the resource This study proposes a bilevel, resilience-oriented optimization framework for the coordinated allocation of photovoltaic (PV) and fast-charging stations (FCS) and battery energy storage with DSTATCOM (BESDSTATCOM) in radial distribution networks. Unlike existing approaches, the proposed method captures both the grid-connected performance and islanding resilience within a unified framework. The problem is formulated as a single-objective optimization to minimize the real power loss, while the voltage profile and greenhouse gas (GHG) emissions are evaluated as performance indices. The complexity of the single-objective, multi-constraint, and multivariable optimization problem was solved using the Crayfish Optimization Algorithm (COA), which was selected for its balanced explorationexploitation capability and fast convergence characteristics compared with conventional algorithms. The results on the IEEE 33-bus radial distribution network reveal that the uncoordinated integration of FCSs significantly deteriorates the system performance, increasing the real power losses by 48, 163, and 183% and GHG emissions by 28, 53, and 67% for one, two, and three FCSs, respectively. However, coordinated PV integration effectively mitigates these impacts, achieving up to ?93% loss reduction, improving the minimum voltage from 0.913 p.u. to 0.992 p.u., and reducing GHG emissions by up to ?88%. Furthermore, optimal PV penetration levels (up to 86.6%) are critical for emission reduction. Under islanding conditions, the BESDSTATCOM ensures energy balance and can effectively neutralize grid-based emissions. Comparative analysis confirmed that COA provided robust and consistent convergence compared to HPO and AOA. Overall, the study contributes to the achievement of United Nations goals, particularly Sustainable Development Goal 7 (Affordable and Clean Energy), Sustainable Development Goal 11 (Sustainable Cities and Communities), and Sustainable Development Goal 13 (Climate Action), by promoting sustainable energy integration, cleaner transportation, and reduced environmental emissions within modern power distribution systems. 2026 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license. http://creativecommons.org/licenses/by-nc-nd/4.0/ Subject The topic of the resource Battery energy storage; Crayfish optimization algorithm; Distribution static compensator; Fast charging stations; Photovoltaic systems Publisher An entity responsible for making the resource available KeAi Communications Co. Relation A related resource ISSN: 26665190; 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 Format The file format, physical medium, or dimensions of the resource online