Title

Data From: Power Distribution System Tools for Analyzing Impacts of Projected Electric Vehicle Load Growth using GridLab-D

Document Type

Dataset

Publication Date

2-2021

Abstract

These files support research on the development of electric vehicle (EV) load growth modeling and analysis tools for distribution systems. These tools help researchers and distribution engineers better understand the impacts EV growth will have on distribution systems. Such studies can help a utility take appropriate action to enhance grid stability and reliability. Three analysis tools were developed for evaluating impacts of EVs on grid infrastructure. These tools were developed for use in the GridLAB-D modeling environment and were written using Python 3.8.

Three analysis tools were developed. The first tool notifies a user of voltage violations. The second tool identifies conductor overloads. The third alerts the user of transformer overloads. These tools have been evaluated using the IEEE 13 node test feeder coupled with typical household load profiles within GridLAB-D. Using these tools, users can evaluate the impacts EV loads have on distribution systems, specifically transformer overloading, voltage violations, and the overload of conductors. These tools can help utility distribution planners prepare appropriate responses for anticipated EV load growth.

The dataset supports a Master of Science (M.S.) in Electrical and Computer Engineering thesis, Power Distribution System Tools for Analyzing Impacts of Projected Electric Vehicle Load Growth using GridLab-D.

Thesis Advisor: Robert Bass, Ph.D

Description

The archive contains three file types. Model configurations are found within .glm files. Data analysis scripts are written in Python, .py files. Input data are archived as .csv files. These .csv files are contained within .zip files.

Input Data - Load Profiles

  • Summer - Households plus EVs.zip - Zip file containing 200 summer load profiles for households in csv format
  • Summer - Households.zip - Zip file containing 200 summer load profiles for households and electric vehicles in csv format
  • Winter - Households plus EVs.zip Zip file containing 200 winter load profiles for households in csv format
  • Winter - Households.zip Zip file containing 200 winter load profiles for households and electric vehicles in csv format

glm Files

  • Base_Case_Summer_Final_Version.glm - Base case GridLab-D model configuration - Summer
  • Base_Case_Winter_Final_Version.glm - Base case GridLab-D model configuration - Winter
  • Loading_Summer_output_20.glm - 20% EV case GridLab-D model configuration - Summer
  • Loading_Summer_output_40.glm - 40% EV case GridLab-D model configuration - Summer
  • Loading_Summer_output_60.glm - 60% EV case GridLab-D model configuration - Summer
  • Loading_Summer_output_80.glm - 80% EV case GridLab-D model configuration - Summer
  • Loading_Summer_output_100.glm - 100% EV case GridLab-D model configuration - Summer
  • Loading_Winter_output_20.glm - 20% EV case GridLab-D model configuration - Winter
  • Loading_Winter_output_40.glm - 40% EV case GridLab-D model configuration - Winter
  • Loading_Winter_output_60.glm - 60% EV case GridLab-D model configuration - Winter
  • Loading_Winter_output_80.glm - 80% EV case GridLab-D model configuration - Winter
  • Loading_Winter_output_100.glm - 100% EV case GridLab-D model configuration - Winter

Python Code

  • Current_Violation.py - Python code for finding current violations within distribution lines
  • Transformer_Overloading.py - Python code for finding overload conditions within distribution transformers
  • Voltage_Violation.py - Python code for finding voltage violations

DOI

10.15760/ece-data.01

Persistent Identifier

https://archives.pdx.edu/ds/psu/34879

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