Optimizing renewable energy-based plug-in hybrid electric vehicle charging stations for sustainable transportation in India
India's burgeoning population necessitates innovative transportation solutions, with electric vehicles (EVs) emerging as a locally viable and urgent need. However, a significant obstacle lies in the improper deployment of charging stations, which strains the power distribution system. Recognizi...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Transportation Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666691X24000666 |
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| author | Anandan P Siow Chun Lim Anbuselvan N |
| author_facet | Anandan P Siow Chun Lim Anbuselvan N |
| author_sort | Anandan P |
| collection | DOAJ |
| description | India's burgeoning population necessitates innovative transportation solutions, with electric vehicles (EVs) emerging as a locally viable and urgent need. However, a significant obstacle lies in the improper deployment of charging stations, which strains the power distribution system. Recognizing the environmental benefits of Renewable Energy Sources (RES), high-priority buses are now equipped with Plug-in Hybrid Electric Vehicle (PHEV) charging stations, bolstering effective utilization. This study leverages meta-heuristic optimization techniques to propose an efficient allocation strategy for PHEV charging stations powered by RES. The core objective is to establish a cost-effective charging infrastructure while upholding the effective integrity of the network in distribution system. To address these challenges, the study employs meta-heuristic optimization algorithms and optimizes forecasting around sustainable energy systems to achieve desired output. Consequently, the research introduces a novel approach, conceptualizing the distribution of optimal charging stations as a multi-objective problem with added parameters. Furthermore, this study tackles the RES PHEV and charging station site challenge by introducing the innovative Walrus Optimization Algorithm (WaOA), which effectively overcomes issues related to slow convergence and local optima. Experimental findings demonstrate the superiority of the proposed model in terms of minimizing the cost function. This research offers a promising pathway toward sustainable transportation in India's evolving landscape. |
| format | Article |
| id | doaj-art-b2fa3e2af808457691efdfe1bc3d9f66 |
| institution | OA Journals |
| issn | 2666-691X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Transportation Engineering |
| spelling | doaj-art-b2fa3e2af808457691efdfe1bc3d9f662025-08-20T01:57:59ZengElsevierTransportation Engineering2666-691X2024-12-011810029210.1016/j.treng.2024.100292Optimizing renewable energy-based plug-in hybrid electric vehicle charging stations for sustainable transportation in IndiaAnandan P0Siow Chun Lim1Anbuselvan N2Department of Electronics and Communication Engineering; Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu 602105, India; Corresponding author.Department of Electrical and Electronics Engineering; Multimedia University - MMU Cyberjaya, MalaysiaDepartment of Electrical and Electronics Engineering; Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu 602105, IndiaIndia's burgeoning population necessitates innovative transportation solutions, with electric vehicles (EVs) emerging as a locally viable and urgent need. However, a significant obstacle lies in the improper deployment of charging stations, which strains the power distribution system. Recognizing the environmental benefits of Renewable Energy Sources (RES), high-priority buses are now equipped with Plug-in Hybrid Electric Vehicle (PHEV) charging stations, bolstering effective utilization. This study leverages meta-heuristic optimization techniques to propose an efficient allocation strategy for PHEV charging stations powered by RES. The core objective is to establish a cost-effective charging infrastructure while upholding the effective integrity of the network in distribution system. To address these challenges, the study employs meta-heuristic optimization algorithms and optimizes forecasting around sustainable energy systems to achieve desired output. Consequently, the research introduces a novel approach, conceptualizing the distribution of optimal charging stations as a multi-objective problem with added parameters. Furthermore, this study tackles the RES PHEV and charging station site challenge by introducing the innovative Walrus Optimization Algorithm (WaOA), which effectively overcomes issues related to slow convergence and local optima. Experimental findings demonstrate the superiority of the proposed model in terms of minimizing the cost function. This research offers a promising pathway toward sustainable transportation in India's evolving landscape.http://www.sciencedirect.com/science/article/pii/S2666691X24000666Charging stationsRenewable energy sourcesPlug-in hybrid electric vehicleMeta-heuristic OptimizationWalrus Optimization Algorithm (WaOA) |
| spellingShingle | Anandan P Siow Chun Lim Anbuselvan N Optimizing renewable energy-based plug-in hybrid electric vehicle charging stations for sustainable transportation in India Transportation Engineering Charging stations Renewable energy sources Plug-in hybrid electric vehicle Meta-heuristic Optimization Walrus Optimization Algorithm (WaOA) |
| title | Optimizing renewable energy-based plug-in hybrid electric vehicle charging stations for sustainable transportation in India |
| title_full | Optimizing renewable energy-based plug-in hybrid electric vehicle charging stations for sustainable transportation in India |
| title_fullStr | Optimizing renewable energy-based plug-in hybrid electric vehicle charging stations for sustainable transportation in India |
| title_full_unstemmed | Optimizing renewable energy-based plug-in hybrid electric vehicle charging stations for sustainable transportation in India |
| title_short | Optimizing renewable energy-based plug-in hybrid electric vehicle charging stations for sustainable transportation in India |
| title_sort | optimizing renewable energy based plug in hybrid electric vehicle charging stations for sustainable transportation in india |
| topic | Charging stations Renewable energy sources Plug-in hybrid electric vehicle Meta-heuristic Optimization Walrus Optimization Algorithm (WaOA) |
| url | http://www.sciencedirect.com/science/article/pii/S2666691X24000666 |
| work_keys_str_mv | AT anandanp optimizingrenewableenergybasedpluginhybridelectricvehiclechargingstationsforsustainabletransportationinindia AT siowchunlim optimizingrenewableenergybasedpluginhybridelectricvehiclechargingstationsforsustainabletransportationinindia AT anbuselvann optimizingrenewableenergybasedpluginhybridelectricvehiclechargingstationsforsustainabletransportationinindia |