基于非径向网络 DEA 的智慧城市供电环境绩效与测量研究

Ying Sun, Jiajia Huang, Fusheng Wei, Yanzhe Fu, LiangZhao He
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引用次数: 0

摘要

智慧城市的不断发展对电力系统的供给提出了更高的要求。针对智慧城市供电环境绩效与衡量中存在的制约因素,本文根据 DEA 模型和距离函数的特点,提出了一种基于非径向网络 DEA 的智慧城市供电环境绩效与衡量研究模型。该模型可以结合供电的不同阶段,对不同区域的供电效率进行更合理的统计和分析。此外,还分析了供电系统生产和销售阶段效率因素对相位比影响的相关系数。研究结果表明,售电产值和发电量与售电阶段效率呈正相关关系,相关系数分别为 0.57 和 0.092;新增线路长度、新增设备容量、线损率均与其效率呈负相关关系,相关系数分别为-0.42、-0.12 和-0.46。基于以上分析,本研究为智慧城市供电环境绩效研究与测量提供了更多理论支持。
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Research on Environmental Performance and Measurement of Smart City Power Supply Based on Non Radial Network DEA
The continuous development of smart cities has put forward higher requirements for the supply of power systems. In response to the constraints in the environmental performance and measurement of smart city power supply, this paper proposes a research model for smart city power supply environmental performance and measurement based on non-radial network DEA based on the characteristics of DEA model and distance function. This model can combine different stages of power supply to conduct more reasonable statistics and analysis of efficiency in different regions. In addition, correlation coefficients were analyzed for the impact of efficiency factors on the phase ratio in the production and sales stages of the power supply system. The research results indicate that there is a positive correlation between the output value and power generation of electricity sales and the efficiency of the electricity sales stage, with correlation coefficients of 0.57 and 0.092, respectively; The length of newly added lines, capacity of new equipment, and line loss rate are all negatively correlated with their efficiency, with correlation coefficients of −0.42, −0.12, and −0.46, respectively. Based on the above analysis, this study provides more theoretical support for the study of environmental performance and measurement of smart city power supply.
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