Model Predictive Control of Residential Energy Systems Using Energy Storage and Controllable Loads

  • Philipp BraunEmail author
  • Lars Grüne
  • Christopher M. Kellett
  • Steven R. Weller
  • Karl Worthmann
Conference paper
Part of the Mathematics in Industry book series (MATHINDUSTRY, volume 22)


Local energy storage and smart energy scheduling can be used to flatten energy profiles with undesirable peaks. Extending a recently developed model to allow controllable loads, we present Centralized and Decentralized Model Predictive Control algorithms to reduce these peaks. Numerical results show that the additional degree of freedom leads to improved performance.


Centralized model predictive control Decentralized model predictive control Model predictive control 


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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Philipp Braun
    • 1
    Email author
  • Lars Grüne
    • 1
  • Christopher M. Kellett
    • 2
  • Steven R. Weller
    • 2
  • Karl Worthmann
    • 3
  1. 1.Mathematisches InstitutUniversität BayreuthBayreuthGermany
  2. 2.School of Electrical Engineering and Computer Science at the University of NewcastleCallaghanAustralia
  3. 3.Institut für MathematikTechnische Universität IlmenauIlmenauGermany

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