A python toolbox for flexibility aggregation and disaggregation: PyFlexAD

The increasing penetration of volatile renewables and growing electricity demand pose several challenges for power systems. Simultaneously, flexible devices – so called distributed energy resources (DER) – are becoming more widespread, making them attractive for providing ancillary services. The flexibility of a single device can be represented by a set of reference power profiles, and the flexibility of multiple devices by the summation of individual flexibility sets. However, set addition, also known as the Minkowski sum, is usually computationally intractable. This has led to the development of various approximation methods in the literature. The current study improves upon our previously published vertex-based inner approximation, by extending it to more general storage devices and hierarchical aggregation settings. We validate the efficacy and accuracy of the proposed method through case studies using real data and provide the source code of the algorithm as a Python package that enables the (dis-)aggregation of various flexible devices in real-world scenarios.

Subjects

Flexibility aggregation

Disaggregation

Distributed energy resources

Energy storage systems

Python

Minkowski sum computation

DDC Class

621.3: Electrical Engineering, Electronic Engineering

333: Economics of Land and Energy

004: Computer Sciences

Lizenz

https://creativecommons.org/licenses/by/4.0/

Publication version

publishedVersion

Name

1-s2.0-S2352467725004151-main.pdf

Type

Main Article

Size

3.12 MB

Format

Adobe PDF

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A python toolbox for flexibility aggregation and disaggregation: PyFlexAD