Optimizing workplace charging facility deployment and smart charging strategies

Li, Shengyin; Xie, Fei; Huang, Yongxi; Lin, Zhenhong; Liu, Changzheng

doi:10.1016/j.trd.2020.102481

Title: Optimizing workplace charging facility deployment and smart charging strategies

Abstract

This study introduces a workplace charging (WPC) optimization model that maximizes the total satisfied electric miles of employees’ plug-in electric vehicles, subject to a given annual budget. The model optimizes both planning decisions of charger number and power levels and operation decisions of charging spot assignment and charging schedule for the given temporal distribution of charging demands and varied electricity prices. Results of experiments based on national average travel data indicate that the actual WPC strategy varies by budget level. Through optimization, the strategy could reduce impacts of the varied electricity price by shifting charging schedules to periods when electricity prices are low. Also, the model is expanded to study the trade-off between providing WPC and addressing consequence of degraded charging service by including the per-mile shadow cost of unsatisfied charging demand. Finally, we observe that their relative competitiveness mainly depends on the actual shadow cost of WPC.

Authors:

Li, Shengyin ^[1];

^[2]; Huang, Yongxi ^[1];

^[2];

^[2]

Clemson Univ., SC (United States)
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Publication Date:: Thu Aug 06 00:00:00 EDT 2020

Research Org.:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Vehicle Technologies Office

OSTI Identifier:: 1659602

Alternate Identifier(s):: OSTI ID: 1646515

Grant/Contract Number:: AC05-00OR22725

Resource Type:: Accepted Manuscript

Journal Name:: Transportation Research. Part D, Transport and Environment

Additional Journal Information:: Journal Volume: 87; Journal Issue: 0; Journal ID: ISSN 1361-9209

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Subject:: 33 ADVANCED PROPULSION SYSTEMS; electric vehicle; workplace charging; optimization; varied electricity price; smart charging

Citation Formats


                    Li, Shengyin, Xie, Fei, Huang, Yongxi, Lin, Zhenhong, and Liu, Changzheng. Optimizing workplace charging facility deployment and smart charging strategies.  United States: N. p., 2020. 
Web.  doi:10.1016/j.trd.2020.102481.

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                    Li, Shengyin, Xie, Fei, Huang, Yongxi, Lin, Zhenhong, & Liu, Changzheng. Optimizing workplace charging facility deployment and smart charging strategies.  United States.  https://doi.org/10.1016/j.trd.2020.102481

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                    Li, Shengyin, Xie, Fei, Huang, Yongxi, Lin, Zhenhong, and Liu, Changzheng. Thu .  
"Optimizing workplace charging facility deployment and smart charging strategies".  United States.  https://doi.org/10.1016/j.trd.2020.102481.  https://www.osti.gov/servlets/purl/1659602.

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@article{osti_1659602,

  title        = {Optimizing workplace charging facility deployment and smart charging strategies},

  author       = {Li, Shengyin and Xie, Fei and Huang, Yongxi and Lin, Zhenhong and Liu, Changzheng},

  abstractNote = {This study introduces a workplace charging (WPC) optimization model that maximizes the total satisfied electric miles of employees’ plug-in electric vehicles, subject to a given annual budget. The model optimizes both planning decisions of charger number and power levels and operation decisions of charging spot assignment and charging schedule for the given temporal distribution of charging demands and varied electricity prices. Results of experiments based on national average travel data indicate that the actual WPC strategy varies by budget level. Through optimization, the strategy could reduce impacts of the varied electricity price by shifting charging schedules to periods when electricity prices are low. Also, the model is expanded to study the trade-off between providing WPC and addressing consequence of degraded charging service by including the per-mile shadow cost of unsatisfied charging demand. Finally, we observe that their relative competitiveness mainly depends on the actual shadow cost of WPC.},

  doi          = {10.1016/j.trd.2020.102481},

  journal      = {Transportation Research. Part D, Transport and Environment},

  number       = 0,

  volume       = 87,

  place        = {United States},

  year         = {Thu Aug 06 00:00:00 EDT 2020},

  month        = {Thu Aug 06 00:00:00 EDT 2020}

}

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Works referenced in this record:

The economics of workplace charging
journal, June 2016

Fetene, Gebeyehu M.; Hirte, Georg; Kaplan, Sigal
Transportation Research Part B: Methodological, Vol. 88
DOI: 10.1016/j.trb.2016.03.004

An optimization framework for workplace charging strategies
journal, March 2015

Huang, Yongxi; Zhou, Yan
Transportation Research Part C: Emerging Technologies, Vol. 52
DOI: 10.1016/j.trc.2015.01.022

Energy economic analysis of PV based charging station at workplace parking garage
conference, May 2011

Tulpule, Pinak; Marano, Vincenzo; Yurkovich, Stephen
2011 IEEE Energytech, IEEE 2011 EnergyTech
DOI: 10.1109/EnergyTech.2011.5948504

Economic and environmental impacts of a PV powered workplace parking garage charging station
journal, August 2013

Tulpule, Pinak J.; Marano, Vincenzo; Yurkovich, Stephen
Applied Energy, Vol. 108
DOI: 10.1016/j.apenergy.2013.02.068

Pricing Workplace Charging: Financial Viability and Fueling Costs
journal, January 2014

Williams, Brett; DeShazo, J. R.
Transportation Research Record: Journal of the Transportation Research Board, Vol. 2454, Issue 1
DOI: 10.3141/2454-09

Role of workplace charging opportunities on adoption of plug-in electric vehicles – Analysis based on GPS-based longitudinal travel data
journal, March 2018

Wu, Xing
Energy Policy, Vol. 114
DOI: 10.1016/j.enpol.2017.12.015

Long-term strategic planning of inter-city fast charging infrastructure for battery electric vehicles
journal, January 2018

Xie, Fei; Liu, Changzheng; Li, Shengyin
Transportation Research Part E: Logistics and Transportation Review, Vol. 109
DOI: 10.1016/j.tre.2017.11.014

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Similar Records

Title: Optimizing workplace charging facility deployment and smart charging strategies

Abstract

Citation Formats

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