考虑不同运营策略的电动汽车停车概率最优布局

M. R. Aghaebrahimi, M. M. Ghasemipour, A. Sedghi
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引用次数: 18

摘要

在不久的将来,交通运输车队的电气化将成为减少环境污染的重要解决方案。电动汽车停车场通过采用多种运行策略,在配电网中扮演了负荷和发电源的双重角色。因此,从损耗和电网电压的角度来看,这些停车场的位置对配电公司来说非常重要。电动汽车停车场的功率特性具有不确定性和概率性。另一方面,它们注入的电力可以使系统的峰值负荷发生偏移。因此,根据系统的峰值负荷对EVP进行优化配置并不能真正解决问题。本文研究了不同的电动汽车运行策略对行政停车场和住宅停车场的布局、损耗和配电网电压的影响。基于停车场的概率负荷和发电模型,在适当逼近年小时负荷的基础上,进行了EVP的优化布置。提出了一种基于布谷鸟优化算法和序贯蒙特卡罗模拟的混合优化方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Probabilistic optimal placement of EV parking considering different operation strategies
In near future, electrification of transportation fleet will become an important solution to reduce environmental pollution. By employing various strategies for electric vehicle operation, electric vehicle parking lots (EVP) play two roles as the load and the energy generating source for distribution networks. So, the location of these parking lots is very important for the distribution companies from the losses and network voltage points of view. Power characteristic of electric vehicle parking lots has a non-deterministic and probabilistic nature. On the other hand, the power injected by them could shift peak load hours of the system. So, the optimal placement of EVP based on the peak load of the system would not result in actual solution of the problem. In this paper, the effect of different electric vehicle operating strategies on placement of administrative and residential parking lots, losses and distribution network's voltage has been investigated. The optimal placement of EVP has been carried out based on probabilistic load and generation models of parking lots and a proper approximation of annual hourly load. A novel hybrid method, based on cuckoo's optimization algorithm and sequential Monte Carlo simulation, has been used for optimization.
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