On Aggregation Performance in Privacy Conscious Hierarchical Flexibility Coordination Schemes
Thomas Offergeld, Nils Mattus, Florian Schmidtke, Andreas Ulbig

TL;DR
This paper introduces a method to quantify the performance of privacy-preserving hierarchical flexibility aggregation, focusing on energy storage systems, and highlights the impact of system parameters and demand profiles on aggregation accuracy.
Contribution
The paper presents a novel performance quantification framework for hierarchical flexibility coordination, emphasizing privacy preservation and the role of energy storage parameters.
Findings
Aggregation error is influenced by the power-to-energy ratio of ESS.
Grouping FPUs by similar power-to-energy ratios improves coordination performance.
Considering multiple demand timeseries is crucial for accurate aggregation error assessment.
Abstract
In this paper we introduce a method for performance quantification of flexibility aggregation in flexibility coordination schemes (FCS), with a focus on privacy preserving hierarchical FCS. The quantification is based on two performance metrics: The aggregation error and the aggregation efficiency. We present the simulation framework and the modelling of one complex type of flexibility providing units (FPUs), namely energy storage systems (ESS). ESS cause intertemporal constraints for flexibility coordination that lead to aggregation errors in case flexibility is aggregated from heterogeneous groups of FPUs. We identify one parameter responsible for the aggregation error to be the power-to-energy ratio of the ESS. A grouping of FPUs using similarity in their power-to-energy ratios is shown to improve the coordination performance. Additionally, we describe the influence of flexibility…
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