Publication Type : Conference Proceedings
Publisher : IEEE
Source : 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)
Url : https://doi.org/10.1109/icicict54557.2022.9917711
Campus : Coimbatore
School : School of Engineering
Year : 2022
Abstract : India has enormous potential for implementing solar PV and Electric vehicles (EVs); however, the stochastic nature of PV and EV complicates their integration into the distribution system. Moreover, EVs presently have significant drawbacks, such as long charging time and a limited range. This paper presents a case study on developing a cost-effective model for implementing EV charger-installed PV-powered Petroleum Retail Outlets (PRO) in India. The case study considers the design and operational aspects of five evolutionary stages of PV-based Battery Swapping Station (BSS) deployment in PRO. The optimal charging methodology for the PV-based BSS under Real-time pricing (RTP) for demand and ToD based Feed-in Tariff (ToD-FIT) for solar feed-in is obtained using a COIN-OR-based Linear Programming algorithm. The optimized solar PV capacity payback period and LCOE are computed for different cases. The study result shows that the proposed model benefits all stakeholders from a capital expenditure and operational expenditure perspective. It is replicable across India as it gives stakeholders an optimal techno-economic model to implement PV-based BSS at PROs.
Cite this Research Publication : Vigneshkumar B, Anu G Kumar, Optimal Sizing and Operation of Solar PV powered EV Battery Swapping Station for Indian Petroleum Retail Outlet, 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT), IEEE, 2022, https://doi.org/10.1109/icicict54557.2022.9917711