Abstract

Plug-in Electric Vehicles (PEVs) are increasingly being adopted in order to reduce the environmental impacts of fossil fuel-based transportation sector. However, uncontrolled charging of a high number of PEVs may cause sharp and unexpected load spikes in power systems operation. In this paper, we propose a continuous-time optimal control model for optimal scheduling of aggregated PEV charging and generating units in day-ahead power systems operation. The aggregated population of PEVs is modeled by a queuing model, which facilitates incorporating two types of deadline-based and delay-based service quality constraints for PEV owners. Numerical results, provided for IEEE-RTS, demonstrates the effectiveness of the proposed control model in harvesting PEV charging flexibility to enhance the economic efficiency of the system operation.

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