On the robustness of a multiperiod energy management system including electric vehicles and V2G operation

Abstract

In recent years, the potential capability of plug-in electric vehicles to offset the intermittency of renewable generation is being analyzed widely. In power systems literature, these electric vehicles are often merged into an aggregator, i.e. an agent responsible of their charging/discharging operation. However, the available power from the aggregator is likewise subject to uncertainty. In this paper, a robust linear programming problem is considered to model the power system operation. In order to clarify the influence of the electric vehicles on the solution, only the available power from the electric vehicles aggregator is taken into account. A multiperiod case study is used to show the behavior of the robust optimization framework in the solution of a multiperiod energy management system. The role of the uncertainty level and different criteria to reduce the cost of uncertainty are also analyzed.