Abstract
Linear Model Predictive Control (MPC) is an efficient control technique that repeatedly solves online constrained linear programs. In this work we propose an economic linear MPC strategy for operation of energy systems consisting of multiple and independent power units. These systems cooperate to meet the supply of power demand by minimizing production costs. The control problem can be formulated as a linear program with block-angular structure. To speed-up the solution of the optimization control problem, we propose a reduced Dantzig-Wolfe decomposition. This decomposition algorithm computes a suboptimal solution to the economic linear MPC control problem and guarantees feasibility and stability. Finally, six scenarios are performed to show the decrease in computation time in comparison with the classic Dantzig-Wolfe algorithm.
| Original language | English |
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| Title of host publication | Proceedings of the 19th IFAC World Congress 2014 |
| Publisher | International Federation of Automatic Control |
| Publication date | 2014 |
| Pages | 2207-2212 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | 19th World Congress of the International Federation of Automatic Control (IFAC 2014) - Cape Town, South Africa Duration: 24 Aug 2014 → 29 Aug 2014 http://www.ifac2014.org/ |
Conference
| Conference | 19th World Congress of the International Federation of Automatic Control (IFAC 2014) |
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| Country/Territory | South Africa |
| City | Cape Town |
| Period | 24/08/2014 → 29/08/2014 |
| Other | The theme of the congress: “Promoting automatic control for the benefit of humankind” |
| Internet address |
| Series | I F A C Workshop Series |
|---|---|
| Number | 1 |
| Volume | 19 |
| ISSN | 1474-6670 |