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Smart grid optimization through asynchronous, distributed primal dual iterations

Citation

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

Abstract

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
Research Field:Distributed and Grid Systems
Objective Division:Information and Communication Services
Objective Group:Communication Networks and Services
Objective Field:Mobile Data Networks and Services
Author:Millar, B (Mr Benjamin Millar)
Author:Jiang, D (Dr Danchi Jiang)
ID Code:108487
Year Published:2017 (online first 2016)
Deposited By:Engineering
Deposited On:2016-04-20
Last Modified:2017-11-13
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