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