Learning-based Distributed Resource Flexibility Estimation for Enhanced TSO-DSO Coordination

Doctoral Thesis (2026)
Author(s)

D. Chrysostomou (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

J.L. Rueda Torres – Promotor (TU Delft - Electrical Engineering, Mathematics and Computer Science)

J.L. Cremer – Promotor (TU Delft - Electrical Engineering, Mathematics and Computer Science)

M.A.M.M. van der Meijden – Promotor (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group
Intelligent Electrical Power Grids
DOI related publication
https://doi.org/10.4233/uuid:6543ab05-deed-4b9e-bd31-fba18c0e4d82 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
Intelligent Electrical Power Grids
ISBN (electronic)
978-94-6518-225-4
Downloads counter
78
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Abstract

This research focuses on a critical challenge in modern power systems: the effective coordination between transmission system operators (TSOs) and distribution system operators (DSOs) to harness distributed flexibility for grid stability and efficiency. As energy systems undergo a fundamental transformation toward decentralized, decarbonized, and digitalized operations, the ability to accurately estimate and activate aggregated flexibility in distribution systems is becoming a cornerstone of secure and sustainable grid management.....

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