Adaptive ADMM for Distributed AC Optimal Power Flow

In light of the soaring uptake of distributed energy resources, distributed methods are attracting increased focus. This paper proposes an adaptive scheme to improve the convergence of the alternating direction of multipliers method (ADMM) on the component-based dual decomposition of the AC optimal...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on power systems 2019-05, Vol.34 (3), p.2025-2035
Hauptverfasser: Mhanna, Sleiman, Verbic, Gregor, Chapman, Archie C.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:In light of the soaring uptake of distributed energy resources, distributed methods are attracting increased focus. This paper proposes an adaptive scheme to improve the convergence of the alternating direction of multipliers method (ADMM) on the component-based dual decomposition of the AC optimal power flow (OPF). The method incorporates a local curvature approximation scheme, with underlying parameter update steps inspired by the local residual balancing scheme, to automatically tune the penalty parameters locally, without central oversight. Substantial speed-ups over the vanilla ADMM, as high as 10.6 times, are demonstrated on real-world test systems with more than 13\,600 buses, as well as on other difficult test cases. Furthermore, scalability is assessed by showing that, unlike in the centralized computation, the distributed implementation of the proposed adaptive method is independent of system size.
ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2018.2886344