Economic and Battery Health Conscious Vehicle-to-Grid Electric Vehicle Operation
Maximizing profits through vehicle-to-grid interactions are in conflict with the minimizing battery degradation costs, and thus a major customer concern. A holistic scheduling problem is, therefore, required to consider the impact of the charging power and that of the switching between vehicle-to-grid and grid-to-vehicle modes to account for battery health. In this paper, we propose a mixed-objective approach toward vehicle-to-grid interactions of a residential parking lot complex. The solution makes accommodation for battery health while considering the cost/profit model for the electric vehicles. We discuss the importance of system constraints in achieving both, valley filling and peak shaving. A moving horizon model is used to determine real-time schedules for the vehicles. Customer convenience is the central focus of the proposed methodology.
F. Maigha and M. Crow, "Economic and Battery Health Conscious Vehicle-to-Grid Electric Vehicle Operation," Proceedings of the 2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference (2016, Minneapolis, MN), Institute of Electrical and Electronics Engineers (IEEE), Sep 2016.
The definitive version is available at https://doi.org/10.1109/ISGT.2016.7781165
2016 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference , ISGT (2016: Sep. 6-9, Minneapolis, MN)
Electrical and Computer Engineering
National Science Foundation (U.S.)
Keywords and Phrases
Battery management systems; Charging (batteries); Crashworthiness; Electric batteries; Electric power transmission networks; Electric vehicles; Smart power grids; Vehicles; Battery degradation; Holistic scheduling; Objective approaches; Real time schedules; Residential parking; System constraints; Vehicle operations; Vehicle-to-grid interactions; Secondary batteries
International Standard Book Number (ISBN)
International Standard Serial Number (ISSN)
Article - Conference proceedings
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