Research On Aggregation Regulation Strategies To Improve Air Conditioning Load Rate

During the operation of the power grid,when the requirements of frequency quality and voltage index are met,the prerequisite for stable,safe and economical operation of the power system is to maintain the real-time balance of power and power between power.The way that a conventional power system maintains this balance and primarily is to produce a trailing load.However,today’s power supply side structure is undergoing great changes,the generation capacity that can actively track the load is decreasing,and the renewable energy generation with low utilization and uncontrollable utilization,such as scenery,is occupying a higher and higher proportion,making the power system operation and control more and more passive and facing difficulties.In this context,the implementation of demand-side response measures is perhaps one of the most effective and economical measures to get rid of this passive dilemma.The air conditioning load is a resource with a large response potential,with the characteristics of spatial distribution and a short period of time to change the operating state does not have a large impact on the user.It has a strong ability to actively participate in the operation and regulation of the power system.In this regard,this paper studies the load aggregation regulation strategy of large-scale fixed-frequency air conditioning,and carries out in-depth research on its regulation strategy with the goal of improving the load rate of air conditioning load aggregation(a regulation strategy that pursues the goal of eliminating the simultaneous action behavior of air conditioning groups during the operation cycle),with the following main work and results.Firstly,based on the monomer model of air conditioner,the change law of air conditioner load aggregation power is studied and the air conditioner load aggregation model based on state space is established.For the problem that how the state intervals are divided has a large impact on its model accuracy,Kalman filtering is used to solve the air conditioning load aggregation model under different number of state interval divisions,and the error of the air conditioning load aggregation model under different number of state interval divisions is analyzed.Based on this method,the optimal number of state interval divisions is solved to minimize the error of the air conditioning load aggregation model.The results show that the number of state intervals has a large impact on the error of the air conditioning load aggregation model,and the existence of an optimal number of state intervals minimizes the error of the air conditioning load aggregation model,and the aggregation model can accurately reflect the change of the air conditioning load aggregation power,which provides a basis for the subsequent research of the air conditioning load aggregation regulation strategy.Secondly,the existing temperature control method is analyzed from the mechanism of the reasons for the sharp fluctuations in the regulation characteristics of the air conditioning load aggregation power.The lower and upper temperature limits are separated and the current operating state is maintained for a period of time to ensure the uniformity of the air conditioning load distribution in each state,thus reducing the fluctuation of the air conditioning load aggregation power.The simulation case verifies the effectiveness of the air conditioning load aggregation control strategy under the improved temperature control method.Finally,using the aggregated power of air conditioning load is only related to the temperature setting value,an approximate calculation method of the aggregated power of the air conditioning load is given,and the virtual energy storage system model of the air conditioning load aggregation is established,and the air-conditioning load is regarded as the virtual energy storage system to participate in distribution network scheduling.The multi-objective optimal scheduling model including voltage index and line loss index is also established,and the optimal control strategy of virtual energy storage system at each node is given to adjust the aggregated power of air conditioning load by changing the temperature setting value,so as to achieve the goal of optimizing the tidal distribution of distribution network,improving the voltage quality and enhancing the overall load rate of distribution network.