期刊
ELECTRIC POWER SYSTEMS RESEARCH
卷 157, 期 -, 页码 126-133出版社
ELSEVIER SCIENCE SA
DOI: 10.1016/j.epsr.2017.12.005
关键词
Electric vehicles; Distribution system
It has been recognized that an increased penetration of electric vehicles (EVs) may potentially alter load profile in a distribution network. Charging pattern of EVs and its corresponding electrical load pattern may be assessed and quantified by using either a deterministic method or stochastic approach. However, deterministic method does not account for stochastic nature of EV users which affects the load pattern and of stochastic nature of grid condition. Thus, a stochastic method is applied to develop a probabilistic model of EVs charging pattern that takes into account various factors such as vehicle class, battery capacity, state of charge (SOC), driving habit/need, i.e. involving trip type and purpose, plug-in time, mileage, recharging frequency per day, charging power rate and dynamic EV charging price under controlled and uncontrolled charging schemes. The probabilistic model gives EV charging pattern over a period of day for different months to represent the load pattern during different seasons of a year. The presented model gives a rigorous estimation of EV charging load pattern in a distribution network which is considered important for network operators. (C) 2017 Elsevier B.V. All rights reserved.
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