Computational Efficiency of Economic MPC for Power Systems Operation

Laura Standardi, Niels Kjølstad Poulsen, John Bagterp Jørgensen, Leo Emil Sokoler

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Abstract

In this work, we propose an Economic Model Predictive Control (MPC) strategy to operate power systems that consist of independent power units. The controller balances the power supply and demand, minimizing production costs. The control problem is formulated as a linear program that is solved by a computationally efficient implementation of the Dantzig-Wolfe decomposition. To make the controller suitable for realtime applications, we investigate a suboptimal MPC scheme, introducing an early termination strategy to the Dantzig-Wolfe algorithm. Simulations demonstrate that the early termination technique substantially reduces the computation time.
Original languageEnglish
Title of host publicationProceedings of the 2013 4th IEEE PES Innovative Smart Grid Technologies Europe
Number of pages5
PublisherIEEE
Publication date2013
DOIs
Publication statusPublished - 2013
Event2013 4th IEEE PES Innovative Smart Grid Technologies Europe - Technical University of Denmark (DTU), Lyngby, Denmark
Duration: 6 Oct 20139 Oct 2013
Conference number: 4
http://www.ieee-isgt-2013.eu/

Conference

Conference2013 4th IEEE PES Innovative Smart Grid Technologies Europe
Number4
LocationTechnical University of Denmark (DTU)
CountryDenmark
CityLyngby
Period06/10/201309/10/2013
Internet address

Cite this

Standardi, L., Poulsen, N. K., Jørgensen, J. B., & Sokoler, L. E. (2013). Computational Efficiency of Economic MPC for Power Systems Operation. In Proceedings of the 2013 4th IEEE PES Innovative Smart Grid Technologies Europe IEEE. https://doi.org/10.1109/ISGTEurope.2013.6695361