Hierarchical Optimal Scheduling for Air Conditioner’s Load Aggregator

Abstract

In this paper, a scheduling framework based on air-conditioning load aggregator is first proposed. Then the split constant frequency air-conditioning load is optimized by minute level. The step function characteristic between the average air-conditioning load per hour and the temperature difference set at the beginning and the end of the time is obtained and linearized. A temperature difference-power model suitable for air-conditioning hourly scheduling is established. Secondly, aiming at the multiple load aggregators existing in the distribution area, this paper proposes a non-cooperative game model of air conditioning load aggregators. Considering the problem of discretization of control variables in the game revenue function, this paper introduces continuous intermediate variables, establishes a hierarchical optimization model of the game, and gives the proof that the hierarchical optimization of the game has a unique pure strategy Nash equilibrium solution and the solution method. Finally, the feasibility of the proposed method is verified by numerical simulation.