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In this paper we introduce a method for performance quantification offlexibility aggregation in flexibility coordination schemes (FCS), with a focuson privacy preserving hierarchical FCS. The quantification is based on twoperformance metrics: The aggregation error and the aggregation efficiency. Wepresent the simulation framework and the modelling of one complex type offlexibility providing units (FPUs), namely energy storage systems (ESS). ESScause intertemporal constraints for flexibility coordination that lead toaggregation errors in case flexibility is aggregated from heterogeneous groupsof FPUs. We identify one parameter responsible for the aggregation error to bethe power-to-energy ratio of the ESS. A grouping of FPUs using similarity intheir power-to-energy ratios is shown to improve the coordination performance.Additionally, we describe the influence of flexibility demand timeseries on theaggregation error, concluding that future assessments of aggregation errorsshould consider multiple representative demand timeseries, which is anon-trivial task. Finally, we discuss the applicability of the developed methodto scenarios of larger system size.

On Aggregation Performance in Privacy Conscious Hierarchical Flexibility Coordination Schemes