Abstract
Electric vehicles are expected to drastically increase residential electricity consumption and provide a significant source of flexible demand. Aggregating smart EV charge controllers with other smart home devices through a home energy management system can lead to more optimal outcomes that benefit homeowners, utilities, and grid operators. Control strategies must account for occupant convenience by considering the need for fully charged EVs at any time of day. In this paper, we develop an EV charging framework that accounts for occupant convenience using OCHRE, a residential energy model, and foresee, a home energy management system. We simulate a community with high EV penetration and show that integrated, smart EV charging reduces peak demand and smooths night-time energy consumption. Simulation results show that the proposed control strategy nearly eliminates peak period EV charging and reduces the daily peak demand from EVs by 23%.
Original language | American English |
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Number of pages | 11 |
State | Published - 2021 |
Event | 2021 IEEE Green Technologies Conference - Duration: 7 Apr 2021 → 9 Apr 2021 |
Conference
Conference | 2021 IEEE Green Technologies Conference |
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Period | 7/04/21 → 9/04/21 |
Bibliographical note
See NREL/CP-5C00-80858 for paper as published in proceedingsNREL Publication Number
- NREL/CP-5D00-78540
Keywords
- electric vehicles
- foresee
- home energy management systems
- OCHRE