Intelligent Vehicle Charging Benefits Assessment Using EV Project Data

Technical Report · Sun Dec 01 04:00:00 EST 2013

DOI:https://doi.org/10.2172/1118115· OSTI ID:1118115

Letendre, Steven ^[1]; Gowri, Krishnan ^[2]; Kintner-Meyer, Michael CW ^[2]; Pratt, Richard M. ^[2]

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1. Green Mountain College, Poultney, VT (United States)
2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

PEVs can represent a significant power resource for the grid. An IVCI with bi-direction V2G capabilities would allow PEVs to provide grid support services and thus generate a source of revenue for PEV owners. The fleet of EV Project vehicles represents a power resource between 30 MW and 90 MW, depending on the power rating of the grid connection (5-15 kW). Aggregation of vehicle capacity would allow PEVs to participate in wholesale reserve capacity markets. One of the key insights from EV Project data is the fact that vehicles are connected to an EVSE much longer than is necessary to deliver a full charge. During these hours when the vehicles are not charging, they can be participating in wholesale power markets providing the high-value services of regulation and spinning reserves. The annual gross revenue potential for providing these services using the fleet of EV Project vehicles is several hundred thousands of dollars to several million dollars annually depending on the power rating of the grid interface, the number of hours providing grid services, and the market being served. On a per vehicle basis, providing grid services can generate several thousands of dollars over the life of the vehicle.

• Research Organization: Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE
• Contributing Organization: Idaho National Lab (INL)
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1118115
• Report Number(s): PNNL--23031; VT1301000
• Country of Publication: United States
• Language: English

Related Subjects

33 ADVANCED PROPULSION SYSTEMS
economic analysis
electric vehicle
grid reliability
intelligent charging