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Smart grid optimization through asynchronous, distributed primal dual iterations


Millar, B and Jiang, D, Smart grid optimization through asynchronous, distributed primal dual iterations, IEEE Transactions on Smart Grid, 8, (5) pp. 2324-2331. ISSN 1949-3053 (2017) [Refereed Article]

Copyright Statement

Copyright 2016 IEEE

DOI: doi:10.1109/TSG.2016.2522970


The diversity of components in the smart grid and issues, such as scalability, stability, and privacy, have led to the desire for more distributed control paradigms. In this paper, we address the problem of optimizing smart grid operation with separable global costs and separable but nonconvex constraints, while considering important aspects of network operation, such as power flow and nodal voltage constraints. A localized primal dual method is applied through the use of an augmented Lagrange function, which is used to overcome the issues of nonconvexity in the presence of nonlinear equality constraints. The nonseparability of the augmented Lagrange penalty function is addressed through the use of local and neighborhood communication leading to a completely distributed solution of the global problem.

Item Details

Item Type:Refereed Article
Keywords:Cooperative systems, distributed algorithms, distributed control, duality, optimization, smart grids
Research Division:Information and Computing Sciences
Research Group:Distributed computing and systems software
Research Field:Distributed systems and algorithms
Objective Division:Information and Communication Services
Objective Group:Communication technologies, systems and services
Objective Field:Mobile technologies and communications
UTAS Author:Millar, B (Dr Benjamin Millar)
UTAS Author:Jiang, D (Dr Danchi Jiang)
ID Code:108487
Year Published:2017 (online first 2016)
Web of Science® Times Cited:3
Deposited By:Engineering
Deposited On:2016-04-20
Last Modified:2017-11-13
Downloads:42 View Download Statistics

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