Data-driven Control Design Schemes in Active Distribution Grids: Capabilities and Challenges

Karagiannopoulos, S, Dobbe, R, Aristidou, P orcid.org/0000-0003-4429-0225 et al. (2 more authors) (2019) Data-driven Control Design Schemes in Active Distribution Grids: Capabilities and Challenges. In: Proceedings of the 2019 IEEE PowerTech conference. 2019 IEEE Milan PowerTech, 23-27 Jun 2019, Milan, Italy. IEEE . ISBN 9781538647226

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: This conference paper is protected by copyright. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: —optimal control, data-driven control design, active distribution networks, OPF, machine learning
Dates:
  • Accepted: 1 May 2019
  • Published (online): 26 August 2019
  • Published: 26 August 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 23 May 2019 14:00
Last Modified: 23 Oct 2019 15:08
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/PTC.2019.8810586

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