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Tanushri Prajapati
Dr. Ankit Kumar Sharma
Keywords:
Renewable Energy, Solar Wind Hybrid System, Honey Badger Algorithm, Electric Vehicle.
Abstract:
The rapid adoption of electric vehicles (EVs) necessitates the development of efficient and sustainable charging infrastructure, particularly in regions like India, where energy demand and environmental concerns are rising. This study presents a techno-economic assessment of grid and renewable-powered electric vehicle charging stations, optimized using a hybrid metaheuristic technique that combines the Honey Badger Algorithm (HBA) and the Cat and Mouse-Based Optimizer (CMBO). By leveraging the strengths of both algorithms, this hybrid approach ensures efficient resource allocation and maximizes the use of renewable energy sources such as solar and wind power. The proposed model evaluates multiple objectives, including optimizing the charging station’s placement, and reducing carbon emissions by integrating renewable energy into the charging infrastructure. A comprehensive analysis of capital and operational expenditures is conducted, with a focus on the Indian market, considering grid constraints, dynamic electricity tariffs, and government incentives. The study also assesses the impact of energy storage systems and grid stability, ensuring a robust and scalable solution for urban and rural areas. Simulation results demonstrate that the hybrid HBA-CMBO algorithm significantly improves the overall performance of charging stations by enhancing energy efficiency and reducing reliance on grid electricity during peak demand hours. This novel approach provides a promising framework for policymakers and stakeholders aiming to environmentally sustainable EV charging networks in developing countries.
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International Journal of Recent Research and Review
ISSN: 2277-8322
Vol. XVIII, Issue 1
March 2025
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PUBLISHED
March 2025
ISSUE
Vol. XVIII, Issue 1
SECTION
Articles
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