Research On Demand-Side Response Control Strategy Based On Air-Conditioning Load Cluster

Demand-side response is an indispensable part of the framework in intelligent distribution network,which plays a very important role in optimizing the allocation of supply and demand resources and reducing the valley-to-peak difference of the power system.As a representative type of demand side resources,air-conditioning load has a lot of advantages and it is can be flexible scheduled and has great potential adjustable power capacity.Therefore,in this paper,the air conditioner and central air conditioning load cluster of a specific regional is taken as the research object to establish a bi-level optimization model for peak regulation in power system considering the demand response of air-conditioning load.In this paper,a single air conditioning load model is set up by using equivalent thermal parameter method.In order to reflect different users' feelings on comfort degree,this paper studies the influence of two types of human comfort evaluation indexes,namely thermal sensation voting model and human body temperature-humidity index,on the allowance range of room temperature.In addition,according to the different initial temperature,room temperature allowable upper limit and building equivalent thermal parameters of different air-conditioning users,the load groups of central air-conditioning under turn-stop control mode and split air-conditioning under direct start-stop control strategy are aggregated based on the nearest neighbor propagation algorithm,and the influence of the above parameters and two human body comfort models on the maximum schedulable duration and schedulable power capacity of air-conditioning load is analyzed.On the basis of the above research,a demand response bi-level optimization model based on air-conditioning load cluster is established in this paper.The upper optimization model is the grid side optimal scheduling model considering the credibility of load aggregators,and the peak cutting cost of the grid can be reduced by optimizing the actual bid-winning power of each air-conditioning load aggregator in the peak cutting period.In order to consider the user-side optimization control model with uncertain demand response,the lower optimization model maximizes the net profit of load aggregators by optimizing the incentive compensation price of central air-conditioning and split air-conditioning load clusters.In addition,the influence of the uncertainty of air-conditioning load response on the power grid is further taken into account in the upper optimization model,the effect on the peak cutting cost of electric power company by selecting different classes of storage battery as reserve is compared,then the economy of peak cutting scheme suggested in this paper is compared with the traditional scheme.In the lower optimization model,the impact of the different proportion of central air conditioners and split air conditioners in the load aggregator on the net profit is also studied,and the corresponding operating strategies are given.In the end,the effect of two human body comfort assessment criteria on the power capacity can participate in scheduling and the net profit of the load aggregators are compared and analyzed.Through the aforementioned simulation analysis,the rationality and feasibility of the demand-side response control strategy based on air-conditioning load cluster proposed in this paper are verified.