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Smart grid optimization through asynchronous, distributed primal dual iterations

journal contribution
posted on 2023-05-18, 19:01 authored by Benjamin MillarBenjamin Millar, Jiang, D
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.

History

Publication title

IEEE Transactions on Smart Grid

Volume

8

Issue

5

Pagination

2324-2331

ISSN

1949-3053

Department/School

School of Engineering

Publisher

Institute of Electrical and Electronics Engineers

Place of publication

United States

Rights statement

Copyright 2016 IEEE

Repository Status

  • Restricted

Socio-economic Objectives

Mobile technologies and communications

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