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

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

2004-09-19

arxiv.org/abs/nlin/0409038v1

Nonlinear Sciences

Chaotic Dynamics

9 pages, 19 figures, accepted to IEEE Transactions on Power Systems

Scientific paper

To study the impacts of price responsive demand on the electric power system requires better load models. This paper discusses the modeling of uncertainties in aggregated thermostatically controlled loads using a state queueing (SQ) model. The cycling times of thermostatically controlled appliances (TCAs) vary with the TCA types and sizes, as well as the ambient temperatures. The random consumption of consumers, which shortens or prolongs a specific TCA cycling period, introduces another degree of uncertainty. By modifying the state transition matrix, these random factors can be taken into account in a discrete SQ model. The impacts of considering load diversity in the SQ model while simulating TCA setpoint response are also studied.

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