配电网插电式电动汽车充电需求的统计分析与建模

2017 19th International Conference on Intelligent System Application to Power Systems (ISAP) Pub Date : 2017-09-01 DOI:10.1109/ISAP.2017.8071365

Qin Yan, Cheng Qian, Bei Zhang, M. Kezunovic

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引用次数: 19

摘要

建立了插电式电动汽车充电的随机模型，导出了一个充电站在一天中任意时刻电动汽车充电的电力需求的概率描述。使用三个关键变量来表征电动汽车充电的随机行为:充电开始时间、充电状态(SOC)和充电电动汽车总数。电动汽车充电站的用电需求是时间的函数，可以用一天中某一时刻的充电需求期望值来表示。通过数值仿真验证了所提出的分析方法，并说明了电动汽车充电需求对配电系统的影响。

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Statistical analysis and modeling of plug-in electric vehicle charging demand in distribution systems

This paper establishes stochastic model of plug-in electric vehicle (PEV) charging and derives the probabilistic description of the electricity needs from EV charging for one charging station at any hour of a day. Three key variables are used to characterize the stochastic behavior of EV charging: starting time of charging, state of charge (SOC), and total number of charging EVs. The electricity needs of an EV charging station is a function of time, which can be depicted by the expectation of charging needs at a certain time of day. Numerical simulations are implemented to validate the proposed analysis approach and illustrate the impact of EVs' charging demand on the distribution systems.

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来源期刊

2017 19th International Conference on Intelligent System Application to Power Systems (ISAP)

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