Robust Model Predictive Control with Scenarios for Aggregators in Grids with High Penetration of Renewable Energy Sources

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Abstract

Integrating flexible consumers in grids with high penetration of renewable energy sources requires a robust power balancing strategy. The methodologies and solutions suggested in this article aim to describe a flexible framework for controlling future electric energy systems by formulating the aggregation problem as a hierarchical robust optimization problem on different aggregation levels. The Aggregator solves a minmax robust optimization problem through a model predictive control framework. With two numercal examples we show how our algorithm controls flexible loads in closed loop, such that consumption follows the stochastic changing production influenced by the penetration of renewables into the power system.
Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
Number of pages7
PublisherIEEE
Publication date2018
ISBN (Electronic)978-1-5386-7954-8
DOIs
Publication statusPublished - 2018
Event2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids - Aalborg, Denmark
Duration: 29 Oct 201831 Oct 2018
https://sgc2018.ieee-smartgridcomm.org/

Conference

Conference2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids
CountryDenmark
CityAalborg
Period29/10/201831/10/2018
Internet address

Keywords

  • Robist model predictive control
  • Renewable energy sources
  • Aggregator
  • Direct control
  • Indirect control
  • DER

Cite this

Parvizi, J., Jørgensen, J. B., & Madsen, H. (2018). Robust Model Predictive Control with Scenarios for Aggregators in Grids with High Penetration of Renewable Energy Sources. In Proceedings of the 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) IEEE. https://doi.org/10.1109/SmartGridComm.2018.8587603