By analyzing the comprehensive operation cost of the power supply company and the air conditioner load aggregator and the electricity consumption cost of the air conditioner user, the operation strategy of storing electricity by using the electricity trough, using the power peak and releasing the power with the level section, and adjusting the power of the refrigeration unit to achieve the The optimal scheduling of the ice storage trough output improves the system’s ability to dissipate wind. A multi-objective optimization model based on energy efficiency and economy was established to maximize the benefits of power supply companies, airconditioning load aggregators and air-conditioning users. The non-dominated sorting genetic algorithm-II (NSGAII) is used to solve the Pareto non-dominated solution set. The generated Pareto solution set is filtered by the fuzzy membership method to obtain the optimal solution. The simulation results of the IEEE ⁃ 37 distribution system are used to verify the effectiveness and feasibility of the proposed method.
Keywords ice storage air conditioning,curtailed wind consumption, multi-objective optimization, Nsga-II