Multi-objective Flexibility Disaggregation to Distributed Energy Management Systems

Dominik Danner (University of Passau, Germany); Robin Huwa(University of Passau, Germany); and Hermann de Meer (University of Passau, Germany)


Flexibility from stationary batteries and electric vehicles allow home energy management systems to optimally consume local photovoltaic generation. The aggregated flexibility potential of a set of energy management systems can further contribute to a common objective, e.g., peak shaving at the transformer station. This paper formalizes the (non-convex) goals of involved stakeholders when disaggregating a flexibility request to a pool of energy management systems as multi-objective problem. The proposed genetic algorithm optimizes for the resource aggregator (minimizing cost and maximizing delivery probability), the grid operator (minimizing grid losses), the resource provider (maximizing autarky and self-consumption), and a fairness provider (maximizing fairness among participants). A disaggregation schedule that satisfies the objectives of all stakeholders can be chosen a posteriori from the Pareto-optimal solution set, which is demonstrated with a case study on the IEEE 906 low voltage test feeder.