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Optimized Planning Framework for Radial Distribution Network Considering AC and DC EV Chargers, Uncertain Solar PVDG, and DSTATCOM Using HHO

datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologias
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorBonela, Ramesh
dc.contributor.authorTripathy, Sasmita
dc.contributor.authorRoy Ghatak, Sriparna
dc.contributor.authorSwain, Sarat Chandra
dc.contributor.authorLopes, Fernando
dc.contributor.authorAcharjee, Parimal
dc.date.accessioned2025-12-12T15:10:36Z
dc.date.available2025-12-12T15:10:36Z
dc.date.issued2025-10
dc.description.abstractABSTRACT: This study aims to provide an efficient framework for the coordinated integration of AC and DC chargers, intermittent solar Photovoltaic (PV) Distributed Generation (DG) units, and a Distribution Static Compensator (DSTATCOM) across residential, commercial, and industrial zones of a Radial Distribution Network (RDN) considering the benefits of various stakeholders: Electric Vehicle (EV) charging station owners, EV owners, and distribution network operators. The model uses a multi-zone planning method and healthy-bus strategy to allocate Electric Vehicle Charging Stations (EVCSs), Photovoltaic Distributed Generation (PVDG) units, and DSTATCOMs. The proposed framework optimally determines the numbers of EVCSs, PVDG units, and DSTATCOMs using Harris Hawk Optimization, considering the maximization of techno-economic benefits while satisfying all the security constraints. Further, to showcase the benefits from the perspective of EV owners, an EV waiting-time evaluation is performed. The simulation results show that integrating EVCSs (with both AC and DC chargers) with solar PVDG units and DSTATCOMs in the existing RDN improves the voltage profile, reduces power losses, and enhances cost-effectiveness compared to the system with only EVCSs. Furthermore, the zonal division ensures that charging infrastructure is distributed across the network increasing accessibility to the EV users. It is also observed that combining AC and DC chargers across the network provides overall benefits in terms of voltage profile, line loss, and waiting time as compared to a system with only AC or DC chargers. The proposed framework improves EV owners' access and reduces waiting time, while supporting distribution network operators through enhanced grid stability and efficient integration of EV loads, PV generation, and DSTATCOM.eng
dc.identifier.citationBonela, R., Tripathy, S., Ghatak, S. R., Swain, S. C., Lopes, F., & Acharjee, P. (2025). Optimized Planning Framework for Radial Distribution Network Considering AC and DC EV Chargers, Uncertain Solar PVDG, and DSTATCOM Using HHO. In: Energies, 2025, vol. 18 (21), article 5728. https://doi.org/10.3390/en18215728
dc.identifier.doi10.3390/en18215728
dc.identifier.eissn1996-1073
dc.identifier.urihttp://hdl.handle.net/10400.9/6174
dc.language.isoeng
dc.peerreviewedyes
dc.publisherMDPI
dc.relation.hasversionhttps://www.mdpi.com/1996-1073/18/21/5728
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectElectric vehicle
dc.subjectCharging station
dc.subjectElectric systems
dc.subjectSolar photovoltaics
dc.subjectDistributed generation
dc.titleOptimized Planning Framework for Radial Distribution Network Considering AC and DC EV Chargers, Uncertain Solar PVDG, and DSTATCOM Using HHOeng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue21
oaire.citation.titleEnergies
oaire.citation.volume18
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameTripathy
person.familyNameRoy Ghatak
person.familyNameLopes
person.familyNameAcharjee
person.givenNameSasmita
person.givenNameSriparna
person.givenNameFernando
person.givenNameParimal
person.identifier.orcid0009-0005-5459-9199
person.identifier.orcid0000-0003-1585-6517
person.identifier.orcid0000-0002-2967-627X
person.identifier.orcid0000-0002-1792-6681
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relation.isAuthorOfPublication.latestForDiscoverya4406e33-b959-4b8b-a2c5-cc6ab9efd4a9

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