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 integrated energy system in China, more and more comprehensive loads, especially the coupled loads of electricity, cold 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 integrated energy system are scientific and reasonable. Therefore, the big data analysis method is applied to the cold-heat-electricity coupling characteristics of comprehensive load analysis, and the cold-heat-electricity coupling characteristic analysis model is established based on improved K-means algorithm. This model uses a real data related to the integrated energy system measured by a foreign university. In order to obtain the coupling characteristics of the same season time or different seasons, a reasonable clustering analysis for energy load in school shall be carried out in accordance with the four seasons of spring, summer, autumn and winter. 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, which provides strong data support for the formulation of a reasonable integrated demand response scheme.
