Research On Optimization Method Of Peak Load Shifting For Storage And Air Conditioning Load

With the change of industrial structure and the improvement of economic level,the peak-to-valley difference of summer power grid is getting larger and larger,which leads to the frequency of start-stop of peak-shaving unit and the risk of power outages in users are increased,while the operational efficiency and power supply reliability are reduced.In recent years,with the rapid development of electrochemical energy storage system,and battery energy storage has become a way for power grids to cut peaks and fill valleys;On the other hand,due to the greenhouse effect,the large amount of refrigeration and air-conditioning entering the grid is the main cause of further widening the peak-to-valley difference and the formation of load peaks.Fully exploiting and utilizing the huge peak load shifting potential contained in the air conditioning load is an effective way to solve the load spike hazard.Therefore,it is important to implement peak load shifting based on storage and air conditioning loads.This thesis focuses on the optimization of power grid and peak load shifting in the storage and air conditioning load.Based on the establishment and solution of the battery energy storage system to participate in the grid peaking and valley filling optimization model,analyzing the peak shift characteristics of air conditioning systems and calculating the peaking potential of air conditioning loads.Therefore,the peak load shifting optimization model of the storage and air conditioning load participation is further constructed,and the corresponding optimization solution is carried out.First,based on the structure and working principle of the battery energy storage system,establishing battery energy storage system to participate in grid peak load shifting optimization model.It includes the objective function,the constraint condition and the evaluation index of the peak load shifting effect.The step-power threshold method and the power difference threshold method are used to solve the optimization model.According to the seasonal characteristics of air-conditioning load,the air-conditioning load is calculated by the reference load comparison method and the air-conditioning system model is established,including the thermal storage characteristics of the building,the control system model and the electrical model.Based on the air conditioning system model,the wheel stop,virtual energy storage and peak cooling strategy are proposed and the peaking potential of each strategy is calculated.The calculated air conditioning load is used tosimulate the example,which proves that the air conditioning load contains huge peaking potential and can be transferredFinally,the peak load shifting optimization model,which combines the storage and air-conditioning loads,is built,including the objective function and constraints with the best peak-filling effect,and the model is solved based on genetic algorithm.Through simulation analysis,the grid-mounting and valley-filling optimization strategy jointly constructed by the storage and air-conditioning load constructed in this thesis can achieve good peak-cutting and valley-filling effects and improve energy-saving and emission reduction rates.