- Title
- A distributed optimization algorithm for the predictive control of smart grids
- Creator
- Braun, Philipp; Grüne, Lars; Kellett, Christopher M.; Weller, Steven R.; Worthmann, Karl
- Relation
- IEEE Transactions on Automatic Control Vol. 61, Issue 12, p. 3898-3911
- Publisher Link
- http://dx.doi.org/10.1109/TAC.2016.2525808
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- journal article
- Date
- 2016
- Description
- In this paper, we present a hierarchical, iterative distributed optimization algorithm and show that the algorithm converges to the global solution of a particular optimization problem. The motivation for the distributed optimization problem is the predictive control of a smart grid, in which the states of charge of a network of residential-scale batteries are optimally coordinated so as to minimize variability in the aggregated power supplied to/from the grid by the residential network. The distributed algorithm developed in this paper calls for communication between a central entity and an optimizing agent associated with each battery, but does not require communication between agents. The distributed algorithm is shown to achieve the performance of a large-scale centralized optimization algorithm, but with greatly reduced communication overhead and computational burden. A numerical case study using data from an Australian electricity distribution network is presented to demonstrate the performance of the distributed optimization algorithm.
- Subject
- control over communications; optimization algorithms; predictive control for linear systems; smart grid
- Identifier
- http://hdl.handle.net/1959.13/1325673
- Identifier
- uon:25326
- Identifier
- ISSN:0018-9286
- Language
- eng
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