Abstract
Residential air conditioning loads with energy storage characteristics can quickly participate in the demand response, making it an important demand response resource. It can improve resource utilisation and the flexibility of power grid operation through the effective regulation. However, the degree of residential air conditioning to participate in demand response is affected by the outdoor temperature, users' comfort settings, thermal storage and insulation properties of buildings. Moreover, the difficulty of assessing the demand response potential is further increased by the uncertainty of the influencing factors. To guide the residential air conditioners to participate in the power grid operation, the aggregated air conditioner model is established to describe the relationship among the total power, the external environment, and the indoor temperature. The demand response potential model is established from the amount and the duration of demand response. The effects of outdoor temperature, indoor temperature adjustment and the number of air conditioners participating in the response are quantitatively evaluated. Finally, the accuracy of the aggregated model and demand response potential model are verified by numerical simulation.
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