电测与仪表2024，Vol.61Issue(5)：91-97,7.DOI:10.19753/j.issn1001-1390.2024.05.014
基于边缘计算的低压配电网健康状态评价方法
A health status assessment method for low-voltage distribution network based on edge computing
摘要
Abstract
The large-scale integration of renewable distributed generations into the distribution network is a necessa-ry process to achieve carbon neutrality,but the potential stability hazards brought in need to be treated seriously.It is of great significance to effectively screen the weak links in the low-voltage distribution network via data analysis,and carry out targeted optimization and improvement.Therefore,a health status assessment method for low-voltage distribution network based on edge computing is proposed in this paper.In the method,5+1 indices are selected for the assessment of low-voltage distribution network,which are performed normalization processing before applica-tion.The subjective and objective weights of each evaluation index are obtained by the order relation analysis meth-od and the variation coefficient method which simulate the expert knowledge respectively.The subjective weight and objective weight are optimized by Lagrange optimal multiplier method,and the comprehensive weight and evaluation function of each index are obtained.The health status of low-voltage distribution network is reasonably quantified the value of evaluation function.The proposed method is performed by edge computing in the smart terminals on site to relieve computing pressure for communication and main station systems.The evolution and analysis results of 8 low-voltage transformer stations in Zibo City prove the effectiveness and objectiveness of the proposed method,which can be implemented in practical power systems.关键词
低压配网/碳中和/分布式新能源/边缘计算/健康状态评价Key words
low-voltage distribution network/carbon neutrality/distributed new energy/edge computing/health sta-tus assessment分类
动力与电气工程引用本文复制引用
张明泽,栾文鹏,艾欣,胡博伟,刘博,刘文彬..基于边缘计算的低压配电网健康状态评价方法[J].电测与仪表,2024,61(5):91-97,7.基金项目
国家电网有限公司科技项目(520600230011) （520600230011）
