Modeling electric vehicle consumer behavior for improved power systems operation and planning
Rahman, Md Rakib Ur
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Rahman, M. R. U., Manoharan, A. K., Gampa, S. 2020. Modeling electric vehicle consumer behavior for improved power systems operation and planning -- In Proceedings: 16th Annual Symposium on Graduate Research and Scholarly Projects. Wichita, KS: Wichita State University, p.56
The transition to electric vehicles (EVs) from fossil fuel-based vehicles is well underway, with more than 1 million EVs on U.S. roads as of October 2018. In addition, customers are purchasing EVs in record numbers, and electric companies are working with stakeholders to move the EV infrastructure market forward. Forecasts shows, around 3.5 million EVs will be on road by 2030. To accommodate this incremental load on the existing power system, a residential EV charging management scheme considering the behavior of EV owners is proposed in this work. According to the study by Consumer Electronics Association (CEA), “Running out of battery charge” was cited by 71% of the people as a disadvantage. And to get over this phobia, current EV users tend to charge their car full even though they may not need it. In terms of range (the miles their car can go in a single charge), 80% of Americans want at least 200+ miles when on average, they only drive 50 miles a day. This research work analyzes the driving behavior using the National Household Travel Survey (NHTS) data. The results show that charging behavior has a high correlation to household size, number of vehicles in the household occupation, etc. A model is developed for the EV charging demand using the above correlation, and a preliminary study on test systems show the significance of such techniques in the near future.
Presented to the 16th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held online, Wichita State University, May 1, 2020.
Research completed in the Department of Electrical Engineering and Computer Science, College of Engineering