Optimal allocation of hybrid PVDG and DSVC devices into distribution grids using a modified NRBO algorithm considering the overcurrent protection characteristics

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dc.contributor.authorBelbachir, Nasreddine
dc.contributor.authorZellagui, Mohamed
dc.contributor.authorMahmoud, Haitham A.
dc.contributor.authorHashim, Fatma A.
dc.contributor.authorEl Shawi, Radwa
dc.contributor.authorYagin, Fatma Hilal
dc.contributor.authorAl-Tam, Riyadh M.
dc.date.accessioned2026-04-04T13:34:40Z
dc.date.available2026-04-04T13:34:40Z
dc.date.issued2025
dc.departmentİnönü Üniversitesi
dc.description.abstractThe never-ending issue of inadequate energy availability is constantly on the outermost layer. Consequently, an ongoing effort has been made to improve electric power plants and power system configurations. Photovoltaic Distributed Generators (PVDG) and compensators such as Distributed Static Var Compensator (DSVC) are the center of these recent advances. Due to its high complexity, these devices' optimum locating and dimensions are a relatively new issue in the Electrical Distribution Grid (EDG). A modified version of Newton Raphson Based Optimizer (mNRBO) has been carried out to optimally allocate the PVDG and DSVC devices in tested IEEE 33 and 69 bus EDG. The mNRBO algorithm integrates four parameters to enhance NRBO's performance by addressing its limitations in balancing exploration and exploitation. The article suggested novel Multi-Objective Functions (MOF), which have been considered to optimize concurrently the overall amount of active power loss (APL), voltage deviation (VD), relays operation time (TRELAY), as well as improve the coordination time interval (CTI) between primaries and backup relays set up in EDG. The proposed mNRBO algorithm surpasses its basic NRBO version, as long as another alternative algorithm, while providing very good results, such as minimizing the APL from 210.98 kW until 26.482 kW and 224.948 kW until 18.763 kW for the IEEE 33 and 69 bus respectively. Which proves the capability of the mNRBO algorithm of solving such power system challenges.
dc.description.sponsorshipEuropean Union; King Saud University [RSPD2025R1006]; King Saud University, Riyadh, Saudi Arabia
dc.description.sponsorshipThis work was supported by the project Increasing the knowledge intensity of Ida-Viru entrepreneurship co-funded by the European Union. The authors extend their appreciation to King Saud University for funding this work through Researchers Supporting Project number (RSPD2025R1006), King Saud University, Riyadh, Saudi Arabia.
dc.identifier.doi10.1038/s41598-025-97606-y
dc.identifier.issn2045-2322
dc.identifier.issue1
dc.identifier.orcid0000-0003-2558-2273
dc.identifier.orcid0000-0002-9954-7529
dc.identifier.pmid40234647
dc.identifier.scopus2-s2.0-105003393553
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1038/s41598-025-97606-y
dc.identifier.urihttps://hdl.handle.net/11616/109321
dc.identifier.volume15
dc.identifier.wosWOS:001468444500022
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherNature Portfolio
dc.relation.ispartofScientific Reports
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250329
dc.subjectHybrid System
dc.subjectPhotovoltaic Distributed Generation
dc.subjectDistributed Static var Compensator
dc.subjectModified Newton Raphson Based Optimizer
dc.subjectOvercurrent Protection Characteristics
dc.titleOptimal allocation of hybrid PVDG and DSVC devices into distribution grids using a modified NRBO algorithm considering the overcurrent protection characteristics
dc.typeArticle

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