Robust randomized model predictive control for energy balance in smart thermal grids

V. Rostampour Samarin, Tamás Keviczky

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

9 Citations (Scopus)

Abstract

This paper presents a stochastic model predictive control approach for a thermal grid with uncertainties in the consumer demand profiles. This approach leads to a finite-horizon chance-constrained mixed-integer linear optimization problem at each sampling time, which is in general non-convex and hard to solve. Earlier approaches for such problems are either suboptimal ad-hoc methodologies, or computationally intractable formulations. We provide a unified framework to deal with production planning problems for uncertain systems, while providing a-priori probabilistic certificates for the robustness properties of the resulting solutions. Our methodology is based on solving a random convex optimization problem to compute the uncertainty bounds using the so-called scenario approach and then, solving a robust mixed-integer optimization problem with the computed randomized uncertainty bounds at each sampling time. Using a tractable approximation of uncertainty bounds, the proposed problem formulation retains the complexity of the problem without chance constraints. In the presented thermal grid application this implies that a robust mixed-integer program is solved to provide a day-ahead prediction for the thermal energy production plan in the grid. The performance of the proposed methodology is illustrated using Monte Carlo simulations and employing two different problem formulations: optimization over input sequences (open-loop MPC) and optimization over affine feedback policies (closed-loop MPC).

Original languageEnglish
Title of host publicationProceedings 2016 European Control Conference (ECC)
EditorsAnders Rantzer, John Bagterp Jørgensen, Jakob Stoustrup
Place of PublicationPiscataway, NJ, USA
PublisherIEEE
Pages1201-1208
ISBN (Electronic)978-1-5090-2591-6
DOIs
Publication statusPublished - 2017
Event2016 European Control Conference, ECC 2016: 15th annual European Control Conference - Aalborg, Denmark
Duration: 29 Jun 20161 Jul 2016
http://www.ecc16.eu/index.shtml

Conference

Conference2016 European Control Conference, ECC 2016
Abbreviated titleECC'16
CountryDenmark
CityAalborg
Period29/06/161/07/16
Internet address

Keywords

  • Uncertainty
  • Production
  • Robustness
  • Thermal energy
  • Optimization
  • Boilers

Fingerprint Dive into the research topics of 'Robust randomized model predictive control for energy balance in smart thermal grids'. Together they form a unique fingerprint.

Cite this