Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11869
Title: A model for electric vehicle charging load forecasting based on trip chains
Authors: Chen, L
Nie, Y
Zhong, Q
Keywords: Charging load
Electric vehicle
Monte Carol
National household travel survey(NHTS)
Trip chains
Issue Date: 2015
Publisher: 中國學術期刊(光盤版)電子雜誌社
Source: 電工技術學報 (Transactions of China Electrotechnical Society), 2015, p. 628-634 How to cite?
Journal: 電工技術學報 (Transactions of China Electrotechnical Society) 
Abstract: Electric vehicles(EVs) will be large-scale applications in the future, which may have an important impact on the power grid. Electric vehicle charging load forecasting is the based analysis of V2G. However there is no mature forecasting method. In this paper, a novel EV load forecasting model is formulated to investigate the effects of stochastic charging behavior on local power grid. Firstly, several geographically distinct areas are assumed according to travel purposes. Based on Markov Chain, the interrelationship of the multiple trips in one day is investigated to give detailed roadmap of daily routes. Secondly, the influence of external conditions on energy consumption is taken into account and charging criterion is determined. Then, the overall daily charging load forecast at different places is then obtained by Monte Carlo simulation. Calculation results show that electric vehicles charging load have the seasonal and holiday characteristic, the charging load make maximum load of power grid increased in a certain extent.
URI: http://hdl.handle.net/10397/11869
ISSN: 1000-6753
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