Maximizing solar-powered charging and discharging of electric vehicles in residential and parking areas: A case study in optimal scheduling

B. Jayababu, Reddy G. Nageswara, Kumar K. Vimala
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Abstract

The expectation of a huge number of Electric Vehicles (EVs) into the market creates multiple technical problems. The power system is at risk due to the unsecured and unreliable operation resulting from unplanned charging and discharging. The unplanned EV charging and discharging change the load profile of the electric grid. Hence, it is required to develop an effective scheduling scheme for charging and discharging EVs. This research focuses on the minimization of the charging cost of a large number of Electric Vehicles (EVs) in a residential area and parking station. When a huge number of EVs are aggregated in the residential and parking stations, charging and discharging power should be a significant and viable contributor to the power grid. V2G (Vehicle-to-Grid) technology offers additional potential benefits to improve power quality and also system reliability. EVs can also supply G2V (Grid-to-Vehicle) power through the discharge of the battery, which benefits both EV owners and electric utilities. It is very difficult to schedule the configurations of EV charging and discharging in an optimized way so as to decrease the charging cost of EVs. The usage of renewable energy sources like solar Photovoltaic (PV) power, reduces the burden on the grid. The solar PV systems are likely to have significant surplus power during the daytime. In this research, optimal charging and discharging scheduling schemes for EVs are developed and the proposed work is carried out under the MATLAB environment with and without Photovoltaic (PV) systems. The realistic load data is collected from Transmission Corporation of Andhra Pradesh (APTRANSCO), India and the solar data is taken from the Indian Solar Resource Data website. The effectiveness of the scheduling scheme is rated according to its capability to reduce the total cost. Extensive simulation studies have been performed on the distribution system under consideration and the results have been presented. The results demonstrate that the charging cost of EVs can be reduced significantly with the use of solar PV power.
住宅和停车场电动汽车太阳能充放电最大化:最优调度案例研究
大量电动汽车(ev)进入市场的预期带来了多种技术问题。由于计划外充放电造成的不安全、不可靠的运行,使电力系统处于危险之中。电动汽车的非计划性充放电改变了电网的负荷分布。因此,需要制定有效的电动汽车充放电调度方案。本文的研究重点是居住区和停车站内大量电动汽车的充电成本最小化问题。当大量电动汽车聚集在住宅和停车场时,充放电功率应该是电网的重要和可行的贡献者。V2G(车辆到电网)技术为提高电能质量和系统可靠性提供了额外的潜在好处。电动汽车还可以通过电池放电提供G2V(电网到汽车)电力,这对电动汽车车主和电力公司都有利。为了降低电动汽车的充电成本,对电动汽车的充放电配置进行优化调度是一个非常困难的问题。太阳能光伏(PV)等可再生能源的使用,减轻了电网的负担。太阳能光伏系统可能在白天有大量的剩余电力。在本研究中,研究了电动汽车的最优充放电调度方案,并在有和无光伏系统的MATLAB环境下进行了研究。实际负荷数据来自印度安得拉邦输电公司(APTRANSCO),太阳能数据来自印度太阳能资源数据网站。调度方案的有效性是根据其降低总成本的能力来评定的。对所考虑的配电系统进行了广泛的仿真研究,并给出了结果。结果表明,使用太阳能光伏发电可以显著降低电动汽车的充电成本。
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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