Standardi, Laura1; Sokoler, Leo Emil2; Poulsen, Niels Kjølstad1; Jørgensen, John Bagterp5
1 Department of Applied Mathematics and Computer Science, Technical University of Denmark2 Scientific Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark3 Dynamical Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark4 Center for Energy Resources Engineering, Center, Technical University of Denmark5 Copenhagen Center for Health Technology, Center, Technical University of Denmark
In this paper we apply the Economic Model Predictive Control (MPC) for balancing the power supply and demand in the future power systems in the most economic way. The control problem is formulated as a linear program, having a block-angular structure solved by the implementation of the Dantzig-Wolfe decomposition. For real-time applications we introduce an early termination technique. Simulations demonstrate that the algorithm developed operates effciently a power system, reducing significantly computational time.
Proceedings of the 18th Nordic Process Control Workshop, 2013
Economic Model Predictive Control; Linear Programming; Distributed Optimization; Power Systems