Data-Driven Residential Electric Vehicle Charging Behavior and Load Profile Modeling for Demand Response in the Midcontinent Independent System Operator Region

Author:

Kawka Emily1,Mahmud Roohany1,Cetin Kristen2,Banerji Srishti3ORCID

Affiliation:

1. Dept. of Civil and Environmental Engineering, Michigan State Univ., East Lansing, MI 48824.

2. Dept. of Civil and Environmental Engineering, Michigan State Univ., East Lansing, MI 48824 (corresponding author).

3. Dept. of Civil and Environmental Engineering, Utah State Univ., Logan, UT 84322. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Reference47 articles.

1. A new flexible and resilient model for a smart grid considering joint power and reserve scheduling, vehicle-to-grid and demand response;Alirezazadeh A.;Sustainable Energy Technol. Assess.,2021

2. Antoun, J., M. E. Kabir, B. Moussa, R. Atallah, and C. Assi. 2020. “Impact analysis of level 2 EV chargers on residential power distribution grids.” In Proc., 2020 IEEE 14th Int. Conf. on Compatibility, Power Electronics and Power Engineering, 523–529. Piscataway, NJ: The Institute of Electrical and Electronics Engineers (IEEE).

3. Measurement of power loss during electric vehicle charging and discharging;Apostolaki-Iosifidou E.;Energy,2017

4. ANL (Argonne National Lab). 2023. “LDV total sales of PEV and HEV by month (updated through August 2023).” Accessed October 8 2023. https://www.anl.gov/sites/www/files/2023-09/Total%20Sales%20for%20Website_August2023.pdf.

5. ANL (Argonne National Lab) Energy Systems Division. n.d. “Light duty electric drive vehicle monthly sales updates.” Accessed September 26 2023. https://www.anl.gov/esia/light-duty-electric-drive-vehicles-monthly-sales-updates.

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