Congestion control for high bandwidth-delay product networks
Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications
nPlug: a smart plug for alleviating peak loads
Proceedings of the 3rd International Conference on Future Energy Systems: Where Energy, Computing and Communication Meet
Optimal deployment of charging stations for electric vehicular networks
Proceedings of the first workshop on Urban networking
Distributed control of electric vehicle charging
Proceedings of the fourth international conference on Future energy systems
Proceedings of the fourth international conference on Future energy systems
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The significant load and unpredictable mobility of electric vehicles (EVs) makes them a challenge for grid distribution systems. Unlike most current approaches to control EV charging, which construct optimal charging schedules by predicting EV state of charge and future behaviour, we leverage the anticipated widespread deployment of measurement and control points to propose an alternative vision. In our approach, drawing from a comparative analysis of Internet and distribution grid congestion, control actions taken by a charger every few milliseconds in response to congestion signals allow it to rapidly reduce its charging rate to avoid grid congestion. We sketch three control schemes that embody this vision and compare their relative merits and demerits.