Convergence Analysis of a Distributed Optimization Algorithm with a General Unbalanced Directed Communication Network

In this paper, we discuss a class of distributed constrained optimization problems in power systems where the target is to optimize the sum of all agents’ local convex objective functions over a general unbalanced directed communication network. Each local convex objective function is known exclusiv...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on network science and engineering Jg. 6; H. 3; S. 237 - 248
Hauptverfasser:	Li, Huaqing, Lu, Qingguo, Huang, Tingwen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.07.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Communication Communication networks Communications networks Constraints Convergence Convexity Coupling Couplings Distributed constrained optimization Economic models Linear programming Load management Mathematical analysis Optimization Power systems primal-dual (sub)gradient algorithm Smoothness unbalanced directed network uncoordinated step-sizes Upper bounds
ISSN:	2327-4697, 2334-329X
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!