{
    "abstract": "Optimizing energy resources is a major priority these days. Increasing household energy demand often leads to the deterioration of poorly sized distribution networks. This paper presents a method for energy compensation and optimization in radial distribution systems (ORDS). By integrating distributed generations (DG), an approach is used to evaluate voltage and power profiles, as well as power losses on radial distributed systems (PLRDSs). After integrating distributed generations, improved voltage and power profiles are established. A potential solution to power compensation and blackouts (PCB) can also be the use of hybrid distributed generation systems (HDGSs) that reinforce radial distribution networks (RDNs) by improving power quality. Accordingly, a proposed configuration system is shown in this work to inject multiple renewable energy sources (MRES) from selected regulated nodes. The feasibility of the proposed system is evaluated using particle swarm optimization (PSO), which was used to locate stable nodes and locations, sensitive to voltage fluctuations. The proposed approach is based on the evaluation of the power losses and voltage profiles of the IEEE 33 bus and IEEE 69 bus standards This MATLAB-based method establishes an objective function that converges more quickly to the optimal results.",
    "authors": [
        {
            "affiliation": "Faculty of Science, University of Garoua, Cameroon, Garoua, Cameroon.\nLaboratoire Mat\u00e9riaux Optiques, Photonique et Syst\u00e8mes (LMOPS), Universit\u00e9 de Lorraine & CentraleSup\u00e9lec, Metz, France.",
            "firstname": "Bachirou",
            "initials": "B",
            "lastname": "Bogno"
        },
        {
            "affiliation": "Department of Renewable Energy, University of Maroua, National Advanced School of Engineering of Maroua, Maroua, Cameroon.",
            "firstname": "Deli",
            "initials": "D",
            "lastname": "Goron"
        },
        {
            "affiliation": "Faculty of Science, University of Garoua, Cameroon, Garoua, Cameroon.",
            "firstname": "Nisso",
            "initials": "N",
            "lastname": "Nicodem"
        },
        {
            "affiliation": "Department of Engineering Physics, Research Centre for Solar Energy, College of Engineering, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur, Andhra Pradesh, India.",
            "firstname": "S",
            "initials": "S",
            "lastname": "Shanmugan"
        },
        {
            "affiliation": "Department of Renewable Energy, University of Maroua, National Advanced School of Engineering of Maroua, Maroua, Cameroon.",
            "firstname": "Dieudonn\u00e9",
            "initials": "D",
            "lastname": "Kidmo Kaoga"
        },
        {
            "affiliation": "Department of Renewable Energy, University of Maroua, National Advanced School of Engineering of Maroua, Maroua, Cameroon.",
            "firstname": null,
            "initials": null,
            "lastname": "Kitmo"
        },
        {
            "affiliation": "Department of Electrical Engineering, Integral University, Lucknow, India.",
            "firstname": "Akhlaque Ahmad",
            "initials": "AA",
            "lastname": "Khan"
        },
        {
            "affiliation": "Department of Applied Mechanical Engineering, College of Applied Engineering, Muzahimiyah Branch, King Saud University, Riyadh, Saudi Arabia.",
            "firstname": "Yasser",
            "initials": "Y",
            "lastname": "Fouad"
        },
        {
            "affiliation": "Laboratoire Mat\u00e9riaux Optiques, Photonique et Syst\u00e8mes (LMOPS), Universit\u00e9 de Lorraine & CentraleSup\u00e9lec, Metz, France.",
            "firstname": "Michel",
            "initials": "M",
            "lastname": "Aillerie"
        }
    ],
    "conclusions": null,
    "copyrights": "Copyright: \u00a9 2024 Bogno et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.",
    "doi": "10.1371/journal.pone.0316281\n10.1016/J.EGYR.2022.06.093\n10.5772/INTECHOPEN.91842\n10.1016/J.ENERGY.2024.133534\n10.1016/J.SOLENER.2024.112422\n10.1016/j.ijepes.2023.109092\n10.1016/J.EGYR.2021.07.103\n10.1016/J.EPSR.2023.109946\n10.1016/J.EGYR.2019.10.025\n10.1016/J.SETA.2021.101840\n10.1109/TPWRS.2005.860931\n10.1371/journal.pone.0309460\n10.1016/J.ESR.2024.101390\n10.1109/ACCESS.2024.3369899\n10.3390/EN17153609\n10.1109/ACCESS.2024.3422211\n10.3390/DESIGNS6020024\n10.1109/ACCESS.2024.3393767\n10.3390/EN17112492\n10.1016/J.APENERGY.2021.117617\n10.1016/J.ESWA.2020.113292\n10.1016/J.ESWA.2024.124765\n10.1016/J.RSER.2018.03.068\n10.1016/J.AEJ.2022.04.009\n10.3390/EN16020817\n10.1049/IET-PEL.2020.0359\n10.1016/J.AEJ.2022.06.008\n10.1016/J.RSER.2018.03.068\n10.3389/FENRG.2022.924285/BIBTEX\n10.1109/ACCESS.2019.2930413\n10.1016/j.jclepro.2018.06.271\n10.3390/EN16165926\n10.1016/J.EST.2023.109702\n10.1002/ER.6104\n10.1371/journal.pone.0305272\n10.3390/EN17174404\n10.1016/J.RSER.2023.114257\n10.1016/J.IJEPES.2023.109617\n10.1007/S00202-023-02072-2/METRICS\n10.1109/JESTPE.2024.3406589\n10.1016/J.EGYR.2024.05.033\n10.1109/ISTEMS60181.2024.10560189\n10.1007/S10916-023-02031-1/METRICS",
    "journal": "PloS one",
    "keywords": [],
    "methods": null,
    "publication_date": "2025-01-08",
    "pubmed_id": "39775517\n39226281\n38941302\n38193948",
    "results": null,
    "title": "Enhancing the power quality in radial electrical systems using optimal sizing and selective allocation of distributed generations.",
    "xml": "<Element 'PubmedArticle' at 0x788504773740>"
}