Publication
Analysis of Techno-Economic and Social Impacts of Electric Vehicle Charging Ecosystem in the Distribution Network Integrated with Solar DG and DSTATCOM
| datacite.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | |
| datacite.subject.fos | Engenharia e Tecnologia::Outras Engenharias e Tecnologias | |
| datacite.subject.sdg | 07:Energias Renováveis e Acessíveis | |
| datacite.subject.sdg | 11:Cidades e Comunidades Sustentáveis | |
| datacite.subject.sdg | 13:Ação Climática | |
| dc.contributor.author | Bonela, Ramesh | |
| dc.contributor.author | Ghatak, Sriparna Roy | |
| dc.contributor.author | Swain, Sarat Chandra | |
| dc.contributor.author | Lopes, Fernando | |
| dc.contributor.author | Nandi, Sharmistha | |
| dc.contributor.author | Sannigrahi, Surajit | |
| dc.contributor.author | Acharjee, Parimal | |
| dc.date.accessioned | 2025-04-11T14:37:15Z | |
| dc.date.available | 2025-04-11T14:37:15Z | |
| dc.date.issued | 2025-01 | |
| dc.description.abstract | ABSTRACT: In this work, a comprehensive planning framework for an electric vehicle charging ecosystem (EVCE) is developed, incorporating solar distributed generation (DG) and a distribution static compensator (DSTATCOM), to assess their long-term techno-economic and environmental impacts. The optimal locations and capacities of the EVCE, solar DG, and DSTATCOM are determined using an improved particle swarm optimization algorithm based on the success rate technique. The study aims to maximize the technical, financial, and social benefits while ensuring that all security constraints are met. To assess the financial viability of the proposed model over a 10-year horizon, a detailed economic analysis comprising installation cost, operation, and maintenance cost is conducted. To make the model more realistic, various practical parameters, such as the inflation rate and interest rate, are incorporated during the financial analysis. Additionally, to highlight the societal benefits of the approach, the study quantifies the long-term carbon emissions and the corresponding cost of emissions. The proposed framework is tested on both a 33-bus distribution network and a 108-bus Indian distribution network. Various planning scenarios are explored, with different configurations of the EVCE, solar-based DG, and DSTATCOM, to assist power system planners in selecting the most suitable strategy. | eng |
| dc.identifier.citation | Bonela, R., Roy Ghatak, S., Swain, S. C., Lopes, F., Nandi, S., Sannigrahi, S., & Acharjee, P. (2025) Analysis of Techno–Economic and Social Impacts of Electric Vehicle Charging Ecosystem in the Distribution Network Integrated with Solar DG and DSTATCOM. In: Energies, 2025, 18(2), article 363. https://doi.org/10.3390/en18020363 | |
| dc.identifier.doi | 10.3390/en18020363 | |
| dc.identifier.issn | 1996-1073 | |
| dc.identifier.uri | http://hdl.handle.net/10400.9/5645 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | MDPI | |
| dc.relation.hasversion | https://www.mdpi.com/1996-1073/18/2/363 | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Electric vehicle | |
| dc.subject | Electric systems | |
| dc.subject | Distribution systems | |
| dc.subject | Distribution network | |
| dc.title | Analysis of Techno-Economic and Social Impacts of Electric Vehicle Charging Ecosystem in the Distribution Network Integrated with Solar DG and DSTATCOM | eng |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.issue | 2 | |
| oaire.citation.title | Energies | |
| oaire.citation.volume | 18 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Lopes | |
| person.givenName | Fernando | |
| person.identifier.orcid | 0000-0002-2967-627X | |
| relation.isAuthorOfPublication | a1153343-c1b9-406e-a83a-30dbee18d6a3 | |
| relation.isAuthorOfPublication.latestForDiscovery | a1153343-c1b9-406e-a83a-30dbee18d6a3 |