Data from: Modeling Tools for Analyzing Electrical Power Distribution Systems Impacted by Electric Vehicle Load Growth
Portland State University. Department of Electrical and Computer Engineering
A suite of distribution system analysis tools has been developed using CYME 7.1 and Python 2.7 for evaluating the impacts from electric vehicle penetration, particularly overloading and under-voltage events. Two of these tools apply new loads to and create intentional spotloads on a model distribution system. Two other tools incorporate time series demands for EV loads and provide load growth within the model system. A fifth tool provides data collection for overloading and under-voltage events.
Using these EV evaluation tools, users can study how a distribution system may be impacted due to EV load growth and stochastic EV placement. These tools allow for a representation of how the system changes with increased EV penetration.
The dataset supports a Master of Science (M.S.) in Electrical and Computer Engineering thesis, Modeling Tools for Analyzing Electrical Power Distribution Systems Impacted by Electric Vehicle Load Growth.
Thesis Advisor: Robert Bass, Ph.D.
Sheeran, Jacob, "Data from: Modeling Tools for Analyzing Electrical Power Distribution Systems Impacted by Electric Vehicle Load Growth" (2021). Electrical and Computer Engineering Datasets. 2. https://doi.org/10.15760/ece-data.02