Decentralized control strategy and probability model for air conditioning loads

Air conditioners can actively participate in frequency control for power system when it suffers from large power shortage. To make full use of reserve resources, a decentralized control strategy for air conditioning loads was proposed. Meanwhile, in order to facilitate analysis and control, the control strategy's probability model was established. Firstly, a modulation strategy responding to frequency was proposed in which air conditioner autonomously adjusts its upper and lower limit of temperature dead-band to keep the operating state be unchanged after load control, so the aggregated power oscillations caused by load diversity loss can be avoided. Moreover, the load control strategy's probability model was established to describe air conditioning load groups' control characteristics. Lastly, the effectiveness of the proposed load group's decentralized control strategy and probability model were verified by simulation results.