Journal article
Distributed Model Predictive Control for Smart Energy Systems
Department of Applied Mathematics and Computer Science, Technical University of Denmark1
Dynamical Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark2
University of California at Los Angeles3
Office for Study Programmes and Student Affairs, Administration, Technical University of Denmark4
Copenhagen Center for Health Technology, Centers, Technical University of Denmark5
Center for Energy Resources Engineering, Centers, Technical University of Denmark6
Scientific Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark7
CITIES - Centre for IT-Intelligent Energy Systems, Centers, Technical University of Denmark8
Integration of a large number of flexible consumers in a smart grid requires a scalable power balancing strategy. We formulate the control problem as an optimization problem to be solved repeatedly by the aggregator in a model predictive control framework. To solve the large-scale control problem in real-time requires decomposition methods.
We propose a decomposition method based on Douglas–Rachford splitting to solve this large-scale control problem. The method decomposes the problem into smaller subproblems that can be solved in parallel, e.g., locally by each unit connected to an aggregator. The total power consumption is controlled through a negotiation procedure between all cooperating units and an aggregator that coordinates the overall objective.
For large-scale systems, this method is faster than solving the original problem and can be distributed to include an arbitrary number of units. We show how different aggregator objectives are implemented and provide simulations of the controller including the computational performance.
Language: | English |
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Publisher: | IEEE |
Year: | 2016 |
Pages: | 1675-1682 |
ISSN: | 19493053 and 19493061 |
Types: | Journal article |
DOI: | 10.1109/TSG.2016.2526077 |
ORCIDs: | Halvgaard, Rasmus Fogtmann , Poulsen, Niels Kjølstad , Madsen, Henrik and Jørgensen, John Bagterp |