基于SNA的中国电力消费空间网络结构特征

Structural Characteristics of China′s Electricity Consumption Spatial Network Based on SNA

为揭示中国省际电力消费格局及特征,对全国性电力市场形成及电力资源使用效率优化提供指导,采用社会网络分析方法,对全国电力消费空间关联网络构造与特点展开研究。结果表明:省际电力消费关联格局呈网络结构,在整个考察期间整体网络密度有升有降,网络效率与网络密度的变化趋势大致相反,网络等级度“V”型台阶式变化;山东、江苏、北京等地区的中心度大小均处于前列,在网络中处于中心及其他各地电力消费关联的重要中介地位;各地根据特征被划分为8个板块,分为4种类型;青海、山西、广东等14个地区属于电力空间关联网络的核心,呈现出不显著的核心-边缘格局;中国省际电力消费格局呈网络结构,该网络存在中心和边缘区域,各地在网络中扮演的角色差异明显。

To reveal the pattern and characteristics of China′s inter-provincial electricity consumption,and provide guidance for the formation of the national electricity market and the optimization of power resource utilization efficiency,the social network analysis method was used to study the structure and characteristics of the national electricity consumption spatial correlation network.The results showed that the correlation pattern of inter-provincial electricity consumption is a network structure,the overall network density rises and falls throughout the investigation period.The network efficiency is roughly opposite to the network density change trend,and the network hierarchy"V"type changes step by step.The centrality of Shandong,Jiangsu,Beijing and other provincial-level regions is in the forefront,and it is in the center of the network and an important intermediary position in the correlation of electricity consumption in other provincial-level regions.The provincial-level regions are grouped into eight plates based on their features,which are further classified into four categories.Fourteen provincial-level regions,including Qinghai,Shanxi,and Guangdong,form the core of the power spatial correlation network,exhibiting a negligible core-edge pattern.To summarize,China's inter-provincial energy consumption pattern is a network structure that occurs in both the central and periphery areas,with provincial-level regions playing distinct roles in the network.