Demonstration of Vehicle-Grid Integration under Non-residential Scenarios
This project will demonstrate advanced EV charging controls modeling and demonstrations with workplace charging at Google and, SLAC, and Stanford University
Board of Trustees of the Leland Stanford Junior University (SLAC National Accelerator Laboratory)
Recipient
Menlo Park, CA
Recipient Location
13th
Senate District
24th
Assembly District
$2,340,000
Amount Spent
Completed
Project Status
Project Result
The SLAC team developed and implemented managed charging functionalities at its SLAC and Google campus demonstration sites. With the real-time data obtained from each site, the team was able to develop software interfaces to control and optimize EV charging events. At the Stanford site, SLAC developed software to optimize the charging strategy of its E-Bus fleet by improving bus schedules and routes. The optimized charging will reduce the peak charging loads and lower demand charges.
The Issue
There are knowledge gaps that inhibit the expansion of electric vehicles (EV) fleet charging including: 1) how to quantify the flexibility of EVs as a resource (in a consistent well-developed and tested methodology); 2) how to develop accurate physical models of charging stations and integrate them with distribution system models; 3) how to quantify and minimize the impact of EV charging on the distribution system assets; and 4) how to calculate the value streams for electric vehicle fleets.
Project Innovation
This agreement demonstrates vehicle-grid integration in non-residential facilities to show the flexibility of smart charging. The team sough to build and validate models that incorporate usage patterns, quantify the impacts of EV charging, develop controls to manage the smart charging to minimize grid impacts and utility costs, and calculate the value streams and costs associated with realizing those value streams.
Project Benefits
The project developed and demonstrated advanced model-predictive control strategies that are more sophisticated than the current state of the art technology by incorporating usage patterns, quantifying the impacts of EV charging while managing the smart charging, and calculating the value streams/costs. This project demonstrated how to minimize electric vehicle charging effects on the distribution system while analyzing EV fleet capabilities under non-residential scenarios.
Affordability
The project will lower grid asset costs by extending the life of distribution grid assets and reducing peak load impacts from uncontrolled charging. In particular, the system could minimize transformer aging due to excess heat.
Environmental Sustainability
This demonstration project will accelerate EV adoption, thus reducing greenhouse gases with the adoption of more EVs.
Reliability
This project will provide higher reliability due to mitigation of voltage, current, and harmonics issues with EV clusters. This project is estimated to improve power losses and voltage drop by at least 10% via smart charging.
Key Project Members
Gustavo Cezar
Subrecipients
The Regents of the University of California, Santa Barbara
Match Partners
The Regents of the University of California, Santa Barbara
Google.Inc
Kisensum
ChargePoint, Inc.
Board of Trustees of the Leland Stanford Junior University (SLAC National Accelerator Laboratory)
