Using Electric Vehicles for Grid Services: Capacity Available and Applications for Electric Utility Commercialization
Name
castillo-gcastill-mba-mgt-2022-thesis.pdf
Description
Thesis PDF
Size
7.34 MB
Format
Adobe PDF
Checksum (MD5)
590d2f51a6db0c732343e3c0fb9fe167
Author(s)
Castillo Jr., Gustavo
Advisor(s)
Freund, Daniel
Annaswamy, Anuradha
Date Issued
May 2022
Publisher
Massachusetts Institute of Technology
Abstract
As electric vehicle (EV) ownership increases, utilities face a high strain on electricity demand when vehicles charge at peak hours. EV grid services like managed charging (V1G) and bidirectional charging could enable electric vehicles' untapped energy storage capacity to improve grid resiliency. This thesis pertains to a detailed case study of EVs for grid services. Using Florida Power and Light residential charging data, the thesis lays out a method to estimate V1G and vehicle-to-grid (V2G) capacity and finds that EV grid services are most readily available in the early morning and evening. An aggregation algorithm designed for demand response is outlined to coordinate the discharge of vehicles during a dispatch event to meet an operator-defined target load reduction, and the resulting performance is highlighted. A V1G algorithm for residential chargers is proposed and highlighted as an opportunity to increase customer participation in offering their vehicle for grid services. A strategy is introduced to build off the concepts presented to create a simulation for utility planning for EV grid services. The thesis concludes with a road map of adoption for EV grid services and potential commercialization opportunities. Key risks and technical challenges are highlighted, and final recommendations for utilities are provided.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Sloan School of Management
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In Copyright - Educational Use Permitted
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