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Title: Optimization Methods for Evaluating PEV Charging Considering Customer Behavior

Abstract

Plug-in electric vehicles (PEVs) can be connected to grid through electrical vehicle supply equipment (EVSE) to provide various grid services in addition to battery charging. This paper evaluates loading condition of a distribution system with a medium penetration of PEVs considering different charging strategies and public EVSE availability. A mobility and charging flexibility model is proposed to capture PEVs’ temporal availability and varying charging capability at different parking locations. Detailed trip information extracted from the National Household Travel Survey is used to represent travel and parking patterns. An optimization method is then proposed to coordinate PEV charging to effectively shift load from peak to off-peak hours. One of the prototypical feeders developed by the Pacific Northwest National Laboratory is studied in different scenarios.

Authors:
ORCiD logo [1];  [1]; ORCiD logo [1]; ORCiD logo [1]
  1. BATTELLE (PACIFIC NW LAB)
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1506977
Report Number(s):
PNNL-SA-130670
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: IEEE Power and Energy Society General Meeting (PESGM 2018), August 5-10, 2018, Portland, OR
Country of Publication:
United States
Language:
English

Citation Formats

Wu, Di, Ke, Xinda, Radhakrishnan, Nikitha, and Reiman, Andrew P. Optimization Methods for Evaluating PEV Charging Considering Customer Behavior. United States: N. p., 2018. Web. doi:10.1109/PESGM.2018.8586401.
Wu, Di, Ke, Xinda, Radhakrishnan, Nikitha, & Reiman, Andrew P. Optimization Methods for Evaluating PEV Charging Considering Customer Behavior. United States. doi:10.1109/PESGM.2018.8586401.
Wu, Di, Ke, Xinda, Radhakrishnan, Nikitha, and Reiman, Andrew P. Mon . "Optimization Methods for Evaluating PEV Charging Considering Customer Behavior". United States. doi:10.1109/PESGM.2018.8586401.
@article{osti_1506977,
title = {Optimization Methods for Evaluating PEV Charging Considering Customer Behavior},
author = {Wu, Di and Ke, Xinda and Radhakrishnan, Nikitha and Reiman, Andrew P.},
abstractNote = {Plug-in electric vehicles (PEVs) can be connected to grid through electrical vehicle supply equipment (EVSE) to provide various grid services in addition to battery charging. This paper evaluates loading condition of a distribution system with a medium penetration of PEVs considering different charging strategies and public EVSE availability. A mobility and charging flexibility model is proposed to capture PEVs’ temporal availability and varying charging capability at different parking locations. Detailed trip information extracted from the National Household Travel Survey is used to represent travel and parking patterns. An optimization method is then proposed to coordinate PEV charging to effectively shift load from peak to off-peak hours. One of the prototypical feeders developed by the Pacific Northwest National Laboratory is studied in different scenarios.},
doi = {10.1109/PESGM.2018.8586401},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {12}
}

Conference:
Other availability
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