Developing a Test Data Set for Electric Vehicle Applications in Smart Grid Research

We analyze a detailed set of driving traces for 536 GPS-equipped taxi vehicles and combine them with the features of four different plug-in hybrid electric vehicle (PHEV) brands that currently dominate the North American market in order to develop a test data set for PHEV-related research in the field of smart grid. Our developed data set is made available to public in [1]. It consists of various information, including but not limited to per-PHEV traces of state-of-charges (SoCs), per-PHEV traces of charging loads at different carefully identified charging stations, per-PHEV information on SoC and charging deadline when the PHEV is parked at a charging station, and some information about the potential of PHEVs for vehicle-to-grid applications.

[1]  Mohamed A. El-Sharkawi,et al.  Optimal Charging Strategies for Unidirectional Vehicle-to-Grid , 2011, IEEE Transactions on Smart Grid.

[2]  Rami Langar,et al.  Region-Based Location-Service-Management Protocol for VANETs , 2010, IEEE Transactions on Vehicular Technology.

[3]  Chunming Qiao,et al.  Efficient Mobility Support by Indirect Mapping in Networks With Locator/Identifier Separation , 2011, IEEE Transactions on Vehicular Technology.

[4]  Ming Zhao,et al.  Internode Mobility Correlation for Group Detection and Analysis in VANETs , 2013, IEEE Transactions on Vehicular Technology.

[5]  Hamed Mohsenian Rad,et al.  Vehicle-to-Aggregator Interaction Game , 2012, IEEE Transactions on Smart Grid.

[6]  Sekyung Han,et al.  Development of an Optimal Vehicle-to-Grid Aggregator for Frequency Regulation , 2010, IEEE Transactions on Smart Grid.

[7]  Vincent W. S. Wong,et al.  Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid , 2010, IEEE Transactions on Smart Grid.