Abstract
Electric vehicles (EVs) are expected to drastically increase residential electricity consumption and could 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 should consider occupant convenience by accounting for the need for fully charged EVs near the EV departure time. 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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Pages | 187-194 |
Number of pages | 8 |
DOIs | |
State | Published - Apr 2021 |
Event | 13th Annual IEEE Green Technologies Conference, GREENTECH 2021 - Denver, United States Duration: 7 Apr 2021 → 9 Apr 2021 |
Conference
Conference | 13th Annual IEEE Green Technologies Conference, GREENTECH 2021 |
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Country/Territory | United States |
City | Denver |
Period | 7/04/21 → 9/04/21 |
Bibliographical note
See NREL/CP-5D00-78540 for preprintNREL Publication Number
- NREL/CP-5C00-80858
Keywords
- Electric Vehicle Charging
- Home Energy Management System
- Modeling
- Residential Energy
- Smart Charging