A Decision Support Framework for Grid-Aware Electric Bus Charge Scheduling

Conference · Tue Feb 16 04:00:00 EST 2021

OSTI ID:1788216

Pettet, Geoffrey A. ^[1]; Ghosal, Malini ^[1]; Mahserejian, Shant M. ^[1]; Davis, Sarah H. ^[1]; Sridhar, Siddharth ^[1]; Dubey, Abhishek ^[2]; Kintner-Meyer, Michael CW ^[1]

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1. BATTELLE (PACIFIC NW LAB)
2. Vanderbilt University

While there are many advantages to electric public transit vehicles, they also pose new challenges for fleet operators. One key challenge is defining a charge scheduling policy that minimizes operating costs and power grid disruptions while maintaining schedule adherence. An uncoordinated policy could result in some buses running out of charge before completing their trip, while a grid agnostic policy might incur higher energy costs or cause an adverse impact on the grid’s distribution system. We present a grid aware decision-theoretic framework for electric bus charge scheduling that accounts for energy price, grid load, and bus status. The framework connects environmental models for traffic (SUMO) and the electric grid (GridLAB-D) to a planner, which evaluates bus charging decisions with regard to their long-term effect on grid reliability and cost. The framework has been evaluated on a simulation of Richland, WA’s bus and grid network, and compared to greedy methods.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1788216
• Report Number(s): PNNL-SA-156679
• Country of Publication: United States
• Language: English

Related Subjects

EV
machine leaning
EV-Grid
Transportation
GridLAB-D
bus charging