Markov Chain Monte Carlo simulation of electric vehicle use for network integration studies

Wang, Yue and Infield, David (2018) Markov Chain Monte Carlo simulation of electric vehicle use for network integration studies. International Journal of Electrical Power & Energy Systems, 99. pp. 85-94. ISSN 0142-0615

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Abstract

As the penetration of electric vehicles (EVs) increases, their patterns of use need to be well understood for future system planning and operating purposes. Using high resolution data, accurate driving patterns were generated by a Markov Chain Monte Carlo (MCMC) simulation. The simulated driving patterns were then used to undertake an uncertainty analysis on the network impact due to EV charging. Case studies of workplace and domestic uncontrolled charging are investigated. A 99% confidence interval is adopted to represent the associated uncertainty on the following grid operational metrics: network voltage profile and line thermal performance. In the home charging example, the impact of EVs on the network is compared for weekday and weekend cases under different EV penetration levels.

Item Type:	Article
Uncontrolled Keywords:	Electric vehicles, Markov Chain, Monte Carlo, Multi-place charging, Uncertainty
Subjects:	H600 Electronic and Electrical Engineering
Department:	Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User:	Becky Skoyles
Date Deposited:	17 May 2018 13:48
Last Modified:	11 Oct 2019 20:15
URI:	http://nrl.northumbria.ac.uk/id/eprint/34259

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