Thermostatically controlled loads account for a significant amount of energy consumption in commercial and residential buildings[1][2]. This thesis studies the impact of controlling the thermostats of air conditioners (ACs) as a way to implement peak load shaving with consideration of end-use device performance. A proposed system model which allows the utility to implement peak load shaving as a component of day-ahead planning for ACs in a large hotel is developed. In the experimental simulation, the results show on-peak demand reduction which is beneficial to the utility, however, the magnitude of the aggregate load that can be shifted as a contribution to peak load shaving may have a significant negative impact on customer comfort as measured by room temperature. The research contribution includes a setpoint variation control strategy that takes into account the information from the utility and sorting of ACs to perform peak load shaving and reduce the negative impact on end-user performance.
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