Reserve Provision from Electric Vehicles: Aggregate Boundaries and Stochastic Model Predictive Control

This dataset contains simulation results for the research article Reserve Provision from Electric Vehicles: Aggregate Boundaries and Stochastic Model Predictive Control. Each CSV file corresponds to an experimental setup with a certain number of EVs included in the fleet and the risk-aversion determined by the risk-aversion factor Ω. Each CSV file contains ten columns that contain the following features: Penalty incurred, positive reserve commitment, negative reserve commitment, total cumulative energy trajectory, G2V charging, V2G charging, lower bound of the conceptual battery, upper bound of the conceptual battery, power boundary of the conceptual battery, electricity system price. Benchmark 1 shows the results for a naive algorithm that solely relies on deterministic predictions. Benchmark 2 is an algorithm that has perfect future knowledge and therefore does not need to rely on predictions.