Title
Data from: Modeling Tools for Analyzing Electrical Power Distribution Systems Impacted by Electric Vehicle Load Growth
Sponsor
Portland State University. Department of Electrical and Computer Engineering
Document Type
Dataset
Publication Date
2-2021
Abstract
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.
DOI
10.15760/ece-data.02
Persistent Identifier
https://archives.pdx.edu/ds/psu/34878
Recommended Citation
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
PenetrationVsYear.csv (1 kB)
PEV-Profiles-L1.csv (44862 kB)
PEV-Profiles-L2.csv (38965 kB)
definitions.py (1 kB)
function_study_analysis.py (2 kB)
LoadFlowOverload.py (114 kB)
lookup.py (2 kB)
main.py (16 kB)
ModifySpotLoad.py (38 kB)
UserInput.py (8 kB)
Description
The archive contains two file types.
Input CSVs
Python Code