Decentralized and Centralized Optimal Control of HVAC Systems

Utility service providers are often challenged with the synchronization of thermostatically controlled loads. Load synchronization, resulting from naturally occurring or demand response events, can damage power distribution equipment and reduce the grid\u27s efficiency. Because thermostatically controlled loads constitute most of the power consumed by the grid at any given time, the proper control of such devices can lead to significant energy savings and improved grid stability. The contribution of this thesis is developing optimal control algorithms for both single-stage and variable-speed heat pump HVAC systems. Our control architecture allows for regulating home temperatures through selective peer-to-peer communication while simultaneously minimizing aggregate power consumption and aggregate load volatility. For comparison purposes, various low-level and centralized optimal controllers are explored and compared against their decentralized counterparts