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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, DThe 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 GridVolume
8Issue
5Pagination
2324-2331ISSN
1949-3053Department/School
School of EngineeringPublisher
Institute of Electrical and Electronics EngineersPlace of publication
United StatesRights statement
Copyright 2016 IEEERepository Status
- Restricted