赵莎莎,朱雅魁,王悦.基于大数据分析的综合能源系统负荷特性聚类分析[J].电测与仪表,2023,60(2):10-15. zhaoshasha,zhuyakui,WangYue.Cluster analysis of integrated energy system load characteristics based on big data analysis[J].Electrical Measurement & Instrumentation,2023,60(2):10-15.
基于大数据分析的综合能源系统负荷特性聚类分析
Cluster analysis of integrated energy system load characteristics based on big data analysis
With the rapid development of China''s comprehensive energy system, more and more comprehensive loads, especially the coupled loads of electricity, heat and heat, appear on the user side. The research on the coupling characteristics of cold, heat and electricity loads are extremely important, which determines whether the planning and operation of the comprehensive energy system are scientific and reasonable. Therefore, this article will be big data analysis is applied to the cold and hot electric coupling characteristics of comprehensive load analysis, based on improved K-means algorithm of cold and hot electricity load coupling analysis model, the model used a university abroad measured integrated energy system related to the real data, the school can use load shall be carried out in accordance with the four seasons of spring/ summer/ autumn/ winter reasonable clustering analysis, in order to obtain the time and in different seasons can use load coupling characteristics of the same season time，On this basis, this paper studies the potential of the integrated demand response of electricity and cold in the integrated energy system. Finally, by simulation analysis, the results show that the proposed method can well explore the coupling characteristics of energy use and demand response potential of the integrated energy system, and provide strong data support for the formulation of a reasonable integrated demand response scheme.
