电动汽车充电需求对配电网影响的概率模型分析

M. Cenký, J. Bendík, Ž. Eleschová, A. Beláň, B. Cintula, P. Janiga
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引用次数: 6

摘要

未来的分销网络将与我们今天所知道的大不相同。影响配电网络的主要因素之一是电动汽车领域的进步。这种网络最准确的建模是通过使用来自消费者的真实数据,主要是收集来自电动汽车的数据。在我们的研究区域(主要是电动汽车预计将增长的地区),此类数据的可用性极低。这是由于大规模收集此类数据的复杂性。从长远来看,我们需要对用户行为进行准确的预测。本文将根据国际统计数据对客户行为进行建模,并将其实现为概率模型本身。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Probabilistic Model of Electric Vehicle Charging Demand to Distribution Network Impact Analyses
Future distribution networks will be quite different to those, we know today. One of the main factors of impact regarding the distribution net, is the progress in the e-mobility sector. Most accurate modelling of such network is by using real data from the consumers, mainly gathering data from the e-mobiles. Availability of such data in our research regions (mostly where e-mobility is expected to be growing) is extremely low. This is due to complexity of gathering such data on large scale. There's a need for accurate predictions of users behaviour in long term. This article is dealing with modelling the customer's behaviour based on the international statistics and its implementation into the probabilistic model itself.
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