A Bernoulli Distribution Model for Plug-in Electric Vehicle Charging based on Time-use Data for Driving Patterns
2014 (English)In: Proceedings of IEEE International Electric Vehicle Conference (IEVC), 2014Conference paper (Refereed)
This paper presents a Bernoulli distribution model for plug-in electric vehicle (PEV)charging based on high resolution activity data for Swedish drivingpatterns. Based on the activity ``driving vehicle" from a time diary studya Monte Carlo simulation is made of PEV state of chargewhich is then condensed down to Bernoulli distributions representingcharging for each hour during weekday and weekend day. Thesedistributions are then used as a basis for simulations of PEVcharging patterns. Results regarding charging patterns for a numberof different PEV parameters are shown along with a comparison with resultsfrom a different stochastic model for PEV charging. A convergence test forMonte Carlo simulations of the distributions is also provided.In addition to this we show that multiple PEV charging patterns are representedby Binomial distributions via convolution ofBernoulli distributions. Also the distribution for aggregatecharging of many PEVs is shown to be normally distributed. Finally a fewremarks regarding the applicability of the model are given along witha discussion on potential extensions.
Place, publisher, year, edition, pages
Other Engineering and Technologies
Research subject English
IdentifiersURN: urn:nbn:se:uu:diva-242437DOI: 10.1109/IEVC.2014.7056224OAI: oai:DiVA.org:uu-242437DiVA: diva2:783454
IEEE International Electric Vehicle Conference (IEVC), 17-19 Dec. 2014, Florence, Italy