Distributed constrained Model Predictive Control based on bundle method for building energy management

Mohamed Yacine Lamoudi (1, 2) , Mazen Alamir (1) , Patrick Béguery (2)

1 GIPSA-SYSCO - GIPSA - Systèmes non linéaires et complexité
2 SE - Schneider Electric

This paper presents a distributed Model Predictive Control framework based on a primal decomposition and a bundle method to control the indoor environmental conditions in a multisource/multizone building. The control aims to minimize the total energy cost under restrictions on global power consumption and local constraints on comfort and saturations on actuators. Moreover, each power source is supposed to have a time varying tarification. The distributed Model Predictive Control algorithm is based on two layers: a zone layer which is responsible of local zone decisions and a coordination layer that handles decisions that go beyond the scope of the zone. Simulation results are finally provided for a three zones building with a local power production and a changing price grid power. A computational study is also provided in order to assess the effectiveness and the real-time implementability of the proposed control method. (15 References).

Domaines: Automatique / Robotique

Mohamed Yacine Lamoudi, Mazen Alamir, Patrick Béguery. Distributed constrained Model Predictive Control based on bundle method for building energy management. CDC 2011 - ECC 2011 - 50th IEEE Conference on Decision and Control and European Control Conference, Dec 2011, Orlando, Floride, United States. pp.8118-8124, ⟨10.1109/CDC.2011.6161076⟩. ⟨hal-00867897⟩