First Advisor

Robert Bass

Term of Graduation

Spring 2021

Date of Publication


Document Type


Degree Name

Master of Science (M.S.) in Electrical and Computer Engineering


Electrical and Computer Engineering




Smart power grids, Electric power distribution -- Evaluation, Electric vehicles -- Energy consumption



Physical Description

1 online resource (xii, 104 pages)


Growing Electric Vehicle penetration presents unwanted problems to grid reliability. For nearly every EV there is corresponding household charging. High penetration of Electric Vehicle Service Equipment can lead to over loading of assets and under voltage conditions. In order to understand the effects EV have on a distribution system, studies have to be done for EVSE to understand how the distribution system is affected. Using advanced Power Engineering Simulation Software is often the best way to model systems due to the credibility of their software modules. For this thesis, I developed a suite of distribution system analysis tools using CYME 7.1 and Python 2.7 for evaluating the impacts from EV penetration, particularly overloading and under-voltage events. EV penetration is the percentage of electric vehicles among total vehicles. Two of these tools apply new loads to and create intentional spotloads on the provided system. Another two tools incorporate time series demands for EV loads and provide load growth on the system. The final tool covers data collection for over loading and under voltage events. Through use of this work's 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, at the years the penetration are projected to increase.


© 2021 Jacob Sheeran

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The dataset associated with this thesis can be accessed at

Persistent Identifier