Optimal Sizing and Operation of Solar PV powered EV Battery Swapping Station for Indian Petroleum Retail Outlet

Vigneshkumar B, Anu G. Kumar
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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.
印度石油零售网点太阳能光伏电动汽车电池交换站的优化规模与运行
印度在实施太阳能光伏和电动汽车(ev)方面具有巨大潜力;然而,光伏和电动汽车的随机性使其在配电系统中的集成变得复杂。此外,目前电动汽车还存在充电时间长、续航里程有限等明显缺陷。本文介绍了一个案例研究,在印度开发一种具有成本效益的模式来实施电动汽车充电器安装的光伏供电的石油零售网点(PRO)。案例研究考虑了PRO中基于pv的电池交换站(BSS)部署的五个进化阶段的设计和操作方面。利用基于投币或的线性规划算法,得到了基于pv的BSS在需求实时定价(RTP)和基于ToD的太阳能上网电价(ToD- fit)下的最优充电方法。计算了不同情况下最优的太阳能光伏发电容量投资回收期和LCOE。研究结果表明,从资本支出和运营支出的角度来看,所提出的模型使所有利益相关者受益。它在印度各地都可以复制,因为它为利益相关者提供了一个最佳的技术经济模式,可以在专业人士中实施基于pv的BSS。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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