A Bernoulli distribution model for plug-in electric vehicle charging based on time-use data for driving patterns
作者： Joakim Munkhammar , Joakim Widen , Pia Grahn , Jesper Ryden
DOI: 10.1109/IEVC.2014.7056224
关键词:
摘要: This paper presents a Bernoulli distribution model for plug-in electric vehicle (PEV) charging based on high resolution activity data Swedish driving patterns. Based the “driving vehicle” from time diary study Monte Carlo simulation is made of PEV state charge which then condensed down to distributions representing each hour during weekday and weekend day. These are used as basis simulations Results regarding patterns number different parameters shown along with comparison results stochastic charging. A convergence test also provided. In addition this we show that multiple represented by Binomial via convolution distributions. Also aggregate many PEVs be normally distributed. Finally few remarks applicability given discussion potential extensions.
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