Real-Time Charging Strategies for an Electric Vehicle Aggregator to Provide Ancillary Services

George Wenzel; Matias Negrete-Pincetic; Daniel E. Olivares; Jason MacDonald; Duncan S. Callaway

doi:10.1109/TSG.2017.2681961

Real-Time Charging Strategies for an Electric Vehicle Aggregator to Provide Ancillary Services

George Wenzel, Matias Negrete-Pincetic, Daniel E. Olivares, Jason MacDonald, Duncan S. Callaway

Research output: Contribution to journal › Article › peer-review

122 Scopus citations

Abstract

Real-Time charging strategies, in the context of vehicle to grid technology, are needed to enable the use of electric vehicle fleets batteries to provide ancillary services. In this paper, we develop tools to manage charging and discharging in a fleet to track an automatic generation control signal when aggregated. We propose a real-Time controller that considers bidirectional charging efficiency and extend it to study the effect of looking ahead when implementing model predictive control. Simulations show that the controller improves tracking error as compared with benchmark scheduling algorithms, as well as regulation capacity and battery cycling.

Original language	English
Article number	7876762
Pages (from-to)	5141-5151
Number of pages	11
Journal	IEEE Transactions on Smart Grid
Volume	9
Issue number	5
DOIs	https://doi.org/10.1109/TSG.2017.2681961
State	Published - Sep 2018
Externally published	Yes

Keywords

Electric vehicles
ancillary services
resource scheduling
vehicle to grid

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10.1109/TSG.2017.2681961

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abstract = "Real-Time charging strategies, in the context of vehicle to grid technology, are needed to enable the use of electric vehicle fleets batteries to provide ancillary services. In this paper, we develop tools to manage charging and discharging in a fleet to track an automatic generation control signal when aggregated. We propose a real-Time controller that considers bidirectional charging efficiency and extend it to study the effect of looking ahead when implementing model predictive control. Simulations show that the controller improves tracking error as compared with benchmark scheduling algorithms, as well as regulation capacity and battery cycling.",

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AU - Callaway, Duncan S.

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AB - Real-Time charging strategies, in the context of vehicle to grid technology, are needed to enable the use of electric vehicle fleets batteries to provide ancillary services. In this paper, we develop tools to manage charging and discharging in a fleet to track an automatic generation control signal when aggregated. We propose a real-Time controller that considers bidirectional charging efficiency and extend it to study the effect of looking ahead when implementing model predictive control. Simulations show that the controller improves tracking error as compared with benchmark scheduling algorithms, as well as regulation capacity and battery cycling.

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Real-Time Charging Strategies for an Electric Vehicle Aggregator to Provide Ancillary Services

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Keywords

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