Residential Microgrid Scheduling Based on Smart Meters Data and Temperature Dependent Thermal Load Modeling

One of the important points in optimal operation of a micro-CHP based microgrids (e.g., a residential building) is to coordinate its thermal and electrical loads. Therefore, in this study, thermal load is analyzed more precisely in terms of the required hot water and desired building temperature. The microgrid is assumed to be equipped with smart meters and controllable electrical loads. The information provided by smart meters is utilized in implementing smart control of micro-CHP, storages, and demand response programs. This study is aimed at presenting an optimal scheduling model for a microgrid considering technical and economical constraints based on temperature dependent thermal load modeling. A sensitivity analysis is conducted to identify and rank the impact of several uncertainties such as variations in temperature, electrical and thermal demand.