Scalability through decentralization: a robust control approach for the energy management of a building community

Recent studies in the literature have shown that cooperative energy management of an aggregation of buildings may lead to substantial energy savings. These approaches typically assume the existence of a central operator that is capable of formulating and solving, within a reasonable amount of time, a centralized optimization problem. However, this requirement may be unrealizable in cases of large scale districts, and it also fails to address privacy concerns of the building occupants. In this paper, we deal with these issues by proposing a decentralized control scheme which only requires the individual buildings to communicate bounds on their energy demands. The proposed method partly alleviates concerns on privacy since this limited communication scheme does not reveal the exact characteristics of the energy usage within each building. In addition, it enables a distributed computation of the solution, making our method highly scalable. We demonstrate through a numerical study the efficacy of the proposed approach, which leads to solutions that closely approximate those obtained by the centralized formulation only at a fraction of the computational effort.

Schlagworte

building energy management

convex optimization

decentralized control

distributed robust controller synthesis

predictive control

DDC Class

004: Informatik

More Funding Information

This research was partially funded by CTI within the SCCER FEEB&D, the Swiss National Science Foundation under the project FMEEESB&anDd, the ESwTiHssZNuartiicohnFalouSncideantcieonF.oundation under the project IMES and the ETH Zurich Foundation. IMES and the ETH Zurich Foundation.

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Scalability through decentralization: a robust control approach for the energy management of a building community