Modeling Uncertainties in Aggregated Thermostatically Controlled Loads Using a State Queueing Model

摘要

To study the impacts of price responsive demand on the electric power systemrequires better load models. This paper discusses the modeling of uncertaintiesin aggregated thermostatically controlled loads using a state queueing (SQ)model. The cycling times of thermostatically controlled appliances (TCAs) varywith the TCA types and sizes, as well as the ambient temperatures. The randomconsumption of consumers, which shortens or prolongs a specific TCA cyclingperiod, introduces another degree of uncertainty. By modifying the statetransition matrix, these random factors can be taken into account in a discreteSQ model. The impacts of considering load diversity in the SQ model whilesimulating TCA setpoint response are also studied.