Two-Level Optimal Day-ahead Scheduling Strategy for AC Aggregators Based on Single Load Temperature Control

The use of a large number of air-conditioning loads in summer has become the main reason for the increase of peak-valley difference of power grid load. Using a large number of air-conditioning loads to participate in the peak cutting of power grid can greatly improve the characteristics of power grid in summer, which is of great significance to the safe and stable operation of power grid. This article from the perspective of load aggregators, temperature control is proposed based on a single air conditioning load before the peak clipping two-level optimization scheduling strategy, the upper to load optimization goal of maximizing the interests of polymerization, the lower the minimum user does not comfort level as the optimization goal, using the sequential quadratic programming method and particle swarm algorithm based on the integer programming for a single specific regulation of the air conditioning load of the values, guarantee the poly Business interests and user comfort level, as well as the diversity of regulating behavior. The simulation results show that the proposed scheduling strategy is reasonable and effective, and has high practical value. Compared with the scheduling strategy based on packet control, aggregators have higher benefits and users have better comfort level.