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https://doi.org/10.1109/tnse.2...
Article . 2025 . Peer-reviewed
License: IEEE Copyright
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https://doi.org/10.2139/ssrn.4...
Article . 2024 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2023
License: CC BY NC SA
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Advancing Distributed AC Optimal Power Flow for Integrated Transmission-Distribution Systems

Authors: Xinliang Dai; Junyi Zhai; Yuning Jiang; Yi Guo; Colin N. Jones; Veit Hagenmeyer;

Advancing Distributed AC Optimal Power Flow for Integrated Transmission-Distribution Systems

Abstract

This paper introduces a distributed operational solution for coordinating integrated transmission-distribution (ITD) systems regarding data privacy. To tackle the nonconvex challenges of AC optimal power flow (OPF) problems, our research proposes an enhanced version of the Augmented Lagrangian based Alternating Direction Inexact Newton method (ALADIN). This proposed framework incorporates a second-order correction strategy and convexification, thereby enhancing numerical robustness and computational efficiency. The theoretical studies demonstrate that the proposed distributed algorithm operates the ITD systems with a local quadratic convergence guarantee. Extensive simulations on various ITD configurations highlight the superior performance of our distributed approach in terms of convergence speed, computational efficiency, scalability, and adaptability.

Country
Germany
Keywords

ddc:004, DATA processing & computer science, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, 004, FOS: Electrical engineering, electronic engineering, information engineering, info:eu-repo/classification/ddc/004

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green