| Building a new power system with new energy as the main body is an important means to promote the realization of the "double carbon" goal.China’s wind power,photovoltaic and other new energy power generation capacity has developed rapidly in recent years,and the overall proportion has been increasing.However,the uncertainty caused by large-scale access to wind power,photovoltaic and other new energy power generation is very prominent,and how to improve the absorption capacity of new energy has become a key issue to be solved.In today’s demand-side loads,small and micro loads represented by temperature control loads and electric vehicles occupy an important position.However,this part of loads has a large number,complicated distribution and obvious differences,and direct control of monomer is not feasible.After a large number of small and micro loads are aggregated,they have great adjustment potential,and are considered to be an effective means to deal with the uncertainty of new energy.In this context,this paper takes small and micro loads as the research object,studies their classification and aggregation methods,taps their cluster demand response scheduling potential,and promotes the reasonable consumption of new energy.The main work is as follows:(1)Small and micro load cluster analysis based on improved rough K-means algorithmIn view of the large number of small and micro loads,the distribution is random,and it is difficult to organize and manage independently.This paper presents a cluster analysis method for small and micro loads based on improved rough K-means algorithm.By introducing the improved rough Kmeans algorithm,the small and micro loads with the same power consumption characteristics are aggregated into the same class group,which is convenient for subsequent analysis and control.Using the historical data of small and micro loads in a place,it is verified that the proposed method can realize the division of small and micro load clusters with different power consumption characteristics.Compared with other clustering algorithms,it can effectively improve the accuracy of small and micro load clustering.(2)Assessment of small and micro load cluster control capacity considering new energy outputConsidering that the small and micro load clusters are translational in time and adjustable in power,the regulation after aggregation can better cope with the volatility and randomness of new energy output,so as to absorb new energy.In this paper,a new evaluation method of small and micro load cluster control ability considering new energy output is proposed,which focuses on the study and evaluation of small and micro load cluster control ability of new energy.The model analysis of the temperature control load represented by air conditioning and the load of electric vehicles was carried out to evaluate the cluster scheduling potential of the temperature control load and electric vehicles considering the output of new energy.The simulation analysis verified the effectiveness of the proposed method.(3)Control strategy of small and micro load cluster consuming new energy considering user satisfactionThere is a great difference between the user’s inherent habitual power consumption mode and the spatio-temporal characteristics of new energy output.To solve this problem,this paper proposes a demand response adjustment strategy for small and micro load clusters considering user satisfaction.From the demand response point of view,give full play to the small and micro load cluster of new energy consumption.Through the introduction of TOU demand response mechanism,users are guided to participate in demand response based on full consideration of user satisfaction,and small and micro load clusters divided according to user characteristics are increased,reduced and shifted to cope with the randomness and volatility of new energy output,so as to achieve the purpose of "load with the source".Simulation analysis verifies the effectiveness of the proposed method. |
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