Potential Evaluation and Control Strategy of Air Conditioning Load Aggregation Response Considering Multiple Factors

Abstract

Air conditioning load has become an important demand response resource of a power system. However, due to its different types and decentralized access, it is difficult for the dispatching center to directly obtain its aggregated power and carry out dispatching control, which limits the utilization of its response potential. In view of this, this paper proposes a two-layer regulation framework considering the potential of the aggregated response of the air conditioning load, which combines the cooperative scheduling of the multiple types of the resources with precise control. In the day-ahead scheduling layer, the air conditioning load aggregation power is obtained based on the approximate aggregation model. Considering the users' thermal comfort, intention and controllable degrees and other factors, the air conditioning load aggregation response potential evaluation model is set up to get its aggregation response potential. Combined with the flexible foundation load response characteristics the joint scheduling model is established, fully excavating the adjusting potential of the load side multi-types resources involved in the system. On the day control layer, to perform the load temperature control strategy in the air conditioning group power drop phenomenon and guide the orderly participation in the power grid demand response, the state queue model is set up. Introducing the preparation time for parameters of the heterogeneous cluster grouping control, the air conditioning load follows the scheduling plan, improves the control accuracy, and reduces the impact of falling power on the system running. Finally, a simplified distribution network system simulation analysis is carried out. The results show that the proposed. two-layer control framework can deeply tap and guide the utilization of the air-conditioning load response potential in the scheduling layer and achieve accurate control and reduce the negative impact of power sagging in the control layer, a significant engineering application value.