基于光伏发电的电动汽车车主偏好智能充电调度

S. Suman, P. Jain, R. Bhakar, P. P. Gupta
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引用次数: 3

摘要

光伏(PV)发电和电动汽车(EV)在世界范围内被广泛接受。在智慧城市,由于家庭附近空间的限制,电动汽车车主需要在白天在工作场所充电,这将导致高峰负荷的扩散。此外,光伏发电的最大输出可能在下午,这可能意味着有很大的可能性的光伏奖励电动汽车充电。提出了基于光伏发电的电动汽车智能充电调度方案,既可以减轻电动汽车充电对配电网的不利影响,又可以减轻充电约束。为了奖励无限制充电的电动汽车,通过光伏发电的最大消耗来考虑无限制充电的最大电动汽车数量的数量约束。剩余比例的电动汽车在电网约束下从电网充电。然后,对这些电动汽车进行以线损最小化为优化目标的调节充电调度。为了验证无约束充电对需求曲线峰值负荷的降低和电动汽车数量的增长,在建议方案中纳入了一个现实的案例研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electric Vehicle Owner Preferred Smart Charge Scheduling of EV Aggregator Using PV Generation
The photovoltaic (PV) generation and Electric vehicles (EV) are extensively accepted around the world. Due to the restrictions of space near households, EV owners are required to charge their EVs at the workplace during the daytime in smart cities, which will cause proliferation of the peak load. In addition to this, the possibility of maximum output from PV generation is afternoon, which could intimate to have a significant plausible of PVs to reward the EVs charging. Proposed smart charge scheduling of EVs depends on usage of PV can mitigate both the detrimental impact of the charging EVs on the distribution network and charging constraints. For rewarding the unrestrained EVs charging, quantity bound in terms of maximum number of EVs with unrestrained charging are deliberated through maximum consumption of the PV generation. Remaining percentage of EVs are charged from the grid subjected to grid constraints. Then, for these EVs, the regulated charging is scheduled with line loss minimization as the optimization objective. To validate the reduction of the peak load of the demand profile and growth of number of EVs through unrestrained charging, a realistic case study is incorporated in the proposed scheme.
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