Abstract
Electric vehicles (EVs) in smart car parks can be employed as energy storage systems and a reserve against unanticipated outrage if charging and discharging are coordinated. A modeling and control framework for EVs in a smart vehicle park has been developed in this work, which encompasses important elements such as charging and discharging expenses, battery degradation costs, driving likelihood, feed in tariff (FIT), and vehicle-to-grid (V2G) rebates are all factors to consider. The charging and discharging activities of each EV are recorded and arranged using an optimization path in order to reduce the cost of parking lot electricity consumption. Comprehensive simulation studies have demonstrated the potential benefits of V2G for automobiles. Multiple EV park systems are susceptible to car and battery characteristics, as well as FIT and regulatory support. Firefly algorithm is implemented for optimization of EV charging costs. Optimization is done using MATLAB/ Simulink software. Feasibility analysis of the system of car park incorporating use of renewable resources is also done. Hence, this work mainly analyzes the grid stability in case an EV charging aggregator is setup and also to reduce the charging cost of EVs using V2G technology.
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Bharti, P., Singh, O. (2023). Feasibility Analysis of V2G Operation in India and Cost Minimization for EV Car Parks Using Firefly Algorithm. In: Rani, A., Kumar, B., Shrivastava, V., Bansal, R.C. (eds) Signals, Machines and Automation. SIGMA 2022. Lecture Notes in Electrical Engineering, vol 1023. Springer, Singapore. https://doi.org/10.1007/978-981-99-0969-8_2
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DOI: https://doi.org/10.1007/978-981-99-0969-8_2
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