Reliable Dispatch of Renewable Generation via Charging of Dynamic PEV Populations
For power system operators, this work addresses the challenge of integrating renewable energy and electric vehicles, but the results are preliminary and incremental.
The paper proposes a three-stage scheme to achieve dispatchability of a power system with intermittent renewable generation and plug-in electric vehicles, using probabilistic forecasts and aggregated dynamic models. Simulation results based on real data validate the approach.
The inherent storage of plug-in electric vehicles is likely to foster the integration of intermittent generation from renewable energy sources into existing power systems. In the present paper, we propose a three-stage scheme to the end of achieving dispatchability of a system composed of plug-in electric vehicles and intermittent generation. The main difficulties in dispatching such a system are the uncertainties inherent to intermittent generation and the time-varying aggregation of vehicles. We propose to address the former by means of probabilistic forecasts and we approach the latter with separate stage-specific models. Specifically, we first compute a dispatch schedule, using probabilistic forecasts together with an aggregated dynamic model of the system. The power output of the single devices are set subsequently, using deterministic forecasts and device-specific models. We draw upon a simulation study based on real data of generation and vehicle traffic to validate our findings.