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

Doctoral Thesis (2026)
Author(s)

D. Chrysostomou (TU Delft - Intelligent Electrical Power Grids)

Contributor(s)

J.L. Rueda Torres – Promotor (TU Delft - Intelligent Electrical Power Grids)

J.L. Cremer – Promotor (TU Delft - Intelligent Electrical Power Grids)

M.A.M.M. van der Meijden – Promotor (TU Delft - Intelligent Electrical Power Grids)

Research Group
Intelligent Electrical Power Grids
More Info
expand_more
Publication Year
2026
Language
English
Research Group
Intelligent Electrical Power Grids
ISBN (electronic)
978-94-6518-225-4
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

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.....

Files

PhD_Thesis_Print..pdf
(pdf | 24.7 Mb)
License info not available