Economic MPC for a linear stochastic system of energy units

John Bagterp Jørgensen, Leo Emil Sokoler, Laura Standardi, Rasmus Fogtmann Halvgaard, Tobias Gybel Hovgaard, Gianluca Frison, Niels Kjølstad Poulsen, Henrik Madsen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


This paper summarizes comprehensively the work in four recent PhD theses from the Technical University of Denmark related to Economic MPC of future power systems. Future power systems will consist of a large number of decentralized power producers and a large number of controllable power consumers in addition to stochastic power producers such as wind turbines and solar power plants. Control of such large scale systems requires new control algorithms. In this paper, we formulate the control of such a system as an Economic Model Predictive Control (MPC) problem. When the power producers and controllable power consumers have linear dynamics, the Economic MPC may be expressed as a linear program. We provide linear models for a number of energy units in an energy system, formulate an Economic MPC for coordination of such a system. We indicate how advances in computational MPC makes the solutions of such large-scale models feasible in real-time. The system presented may serve as a benchmark for simulation and control of smart energy systems and we indicate how advances in computational MPC.
Original languageEnglish
Title of host publicationProceedings of the 15th European Control Conference (ECC16)
Publication date2016
ISBN (Print)978-1-5090-2591-6
Publication statusPublished - 2016
Event15th European Control Conference (ECC16) - Aalborg, Denmark
Duration: 29 Jun 20161 Jul 2016
Conference number: 16


Conference15th European Control Conference (ECC16)
Internet address

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