Residential Air-Conditioning System with Smart-Grid Functionality
Is Version Of
This thesis sets forth a novel intelligent residential air-conditioning (A/C) system controller that provides optimal thermal comfort and electricity cost trade-offs for a household resident based on four key aspects, namely (i) a resident's behavioral preferences, (ii) the structural attributes of the house and the A/C system, (iii) a retail price signal, and (iv) the environmental conditions. It also describes a computational platform that tests the effects of the aggregate intelligent A/C load on the bulk power system. An interesting feedback loop is established between the wholesale power market and the distribution system in that the wholesale energy prices affect the aggregate intelligent A/C load that in turn affects the wholesale energy prices.