Decentralized Management of Commercial HVAC Systems

With the growth of commercial building sizes, it is more beneficial to make them “smart” by controlling schedule heating, ventilation, and air conditioning (HVAC) system adaptively. Single-building-based scheduling methods are focused on individual interests usually result in overlapped schedules that can cause voltage deviations their microgrid. This paper proposes a decentralized management framework able minimize total electricity costs microgrid limit deviations. The proposed scheme two-level optimization where lower level ensures thermal comfort inside buildings while upper consider system-wise constraints costs. decentralization maintain privacy buildings. Multiple data-driven models developed compared. effect modeling overall operation coordinated discussed. validated modified IEEE 13-bus with different connected types results show outperforms commonly used controller also greatly affected modeling.