Uncontrolled Electric Vehicle Charging Impacts on Distribution Electric Power Systems with Primarily Residential, Commercial or Industrial Loads

An increase in Electric Vehicles (EV) will result in higher demands on the distribution electric power systems (EPS) which may result in thermal line overloading and low voltage violations. To understand the impact, this work simulates two EV charging scenarios (home- and work-dominant) under potent...

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Main Authors: C. Birk Jones, Matthew Lave, William Vining, Brooke Marshall Garcia
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/14/6/1688
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spelling doaj-26b337d95c154441823c5a6f5a5d159e2021-03-19T00:02:55ZengMDPI AGEnergies1996-10732021-03-01141688168810.3390/en14061688Uncontrolled Electric Vehicle Charging Impacts on Distribution Electric Power Systems with Primarily Residential, Commercial or Industrial LoadsC. Birk Jones0Matthew Lave1William Vining2Brooke Marshall Garcia3Sandia National Laboratories, Albuquerque, NM 87123, USASandia National Laboratories, Albuquerque, NM 87123, USASandia National Laboratories, Albuquerque, NM 87123, USASandia National Laboratories, Albuquerque, NM 87123, USAAn increase in Electric Vehicles (EV) will result in higher demands on the distribution electric power systems (EPS) which may result in thermal line overloading and low voltage violations. To understand the impact, this work simulates two EV charging scenarios (home- and work-dominant) under potential 2030 EV adoption levels on 10 actual distribution feeders that support residential, commercial, and industrial loads. The simulations include actual driving patterns of existing (non-EV) vehicles taken from global positioning system (GPS) data. The GPS driving behaviors, which explain the spatial and temporal EV charging demands, provide information on each vehicles travel distance, dwell locations, and dwell durations. Then, the EPS simulations incorporate the EV charging demands to calculate the power flow across the feeder. Simulation results show that voltage impacts are modest (less than 0.01 p.u.), likely due to robust feeder designs and the models only represent the high-voltage (“primary”) system components. Line loading impacts are more noticeable, with a maximum increase of about 15%. Additionally, the feeder peak load times experience a slight shift for residential and mixed feeders (≈1 h), not at all for the industrial, and 8 h for the commercial feeder.https://www.mdpi.com/1996-1073/14/6/1688electric vehiclechargingintegrationgrid impactsdistributionprofile
collection DOAJ
language English
format Article
sources DOAJ
author C. Birk Jones
Matthew Lave
William Vining
Brooke Marshall Garcia
spellingShingle C. Birk Jones
Matthew Lave
William Vining
Brooke Marshall Garcia
Uncontrolled Electric Vehicle Charging Impacts on Distribution Electric Power Systems with Primarily Residential, Commercial or Industrial Loads
Energies
electric vehicle
charging
integration
grid impacts
distribution
profile
author_facet C. Birk Jones
Matthew Lave
William Vining
Brooke Marshall Garcia
author_sort C. Birk Jones
title Uncontrolled Electric Vehicle Charging Impacts on Distribution Electric Power Systems with Primarily Residential, Commercial or Industrial Loads
title_short Uncontrolled Electric Vehicle Charging Impacts on Distribution Electric Power Systems with Primarily Residential, Commercial or Industrial Loads
title_full Uncontrolled Electric Vehicle Charging Impacts on Distribution Electric Power Systems with Primarily Residential, Commercial or Industrial Loads
title_fullStr Uncontrolled Electric Vehicle Charging Impacts on Distribution Electric Power Systems with Primarily Residential, Commercial or Industrial Loads
title_full_unstemmed Uncontrolled Electric Vehicle Charging Impacts on Distribution Electric Power Systems with Primarily Residential, Commercial or Industrial Loads
title_sort uncontrolled electric vehicle charging impacts on distribution electric power systems with primarily residential, commercial or industrial loads
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2021-03-01
description An increase in Electric Vehicles (EV) will result in higher demands on the distribution electric power systems (EPS) which may result in thermal line overloading and low voltage violations. To understand the impact, this work simulates two EV charging scenarios (home- and work-dominant) under potential 2030 EV adoption levels on 10 actual distribution feeders that support residential, commercial, and industrial loads. The simulations include actual driving patterns of existing (non-EV) vehicles taken from global positioning system (GPS) data. The GPS driving behaviors, which explain the spatial and temporal EV charging demands, provide information on each vehicles travel distance, dwell locations, and dwell durations. Then, the EPS simulations incorporate the EV charging demands to calculate the power flow across the feeder. Simulation results show that voltage impacts are modest (less than 0.01 p.u.), likely due to robust feeder designs and the models only represent the high-voltage (“primary”) system components. Line loading impacts are more noticeable, with a maximum increase of about 15%. Additionally, the feeder peak load times experience a slight shift for residential and mixed feeders (≈1 h), not at all for the industrial, and 8 h for the commercial feeder.
topic electric vehicle
charging
integration
grid impacts
distribution
profile
url https://www.mdpi.com/1996-1073/14/6/1688
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