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作 者:郝元钊 吴豫 苗福丰 程文傲 HAO Yuanzhao;WU Yu;MIAO Fufeng;CHENG Wenao(State Grid Henan Electric Power Company,Zhengzhou 450000,China;China Electric Power Construction Group Henan Electric Power Survey and Design Institute Co.,Ltd.,Zhengzhou 450000,China)
机构地区:[1]国网河南省电力公司,河南郑州450000 [2]中国电建集团河南省电力勘测设计院有限公司,河南郑州450000
出 处:《电工技术》2024年第18期228-231,共4页Electric Engineering
摘 要:针对低压配电网的多样化特点及数据不完备性,首先搭建了基于移动边缘计算的低压配电网健康状态评价系统,其架构主要包括三个层级:现场用户级、边缘云基础管理级和中心云高级管理级;随后通过目标层、状态层、指标层(一级)、子指标层(二级)四个层级的划分,建立了一个全面、系统的评价体系;最后通过AHP层次分析法,确定了电能质量与无功配置等关键指标的权重分配,并通过合成权重及排序,建立了综合评价体系。该研究为配电网健康状态评价提供了全新视角,为配电系统的稳定运行和未来发展提供了参考依据。In view of the diversified characteristics and incomplete data of low-voltage distribution networks,this essay first built a low-voltage distribution network health status assessment system based on mobile edge computing,whose architecture mainly includes three hierarchies:on-site user hierarchy,edge cloud basic management hierarchy,and central cloud high-level management hierarchy.Subsequently it established an assessment framework by stratification into target layer,state layer,indicator layer(tier-1),and sub indicator layer(tier-2).Finally the weight allocation of key indicators such as power quality and reactive power allocation was determined using the analytic hierarchy process(AHP),and a comprehensive assessment system was established by synthesizing weights and ranking.This study provides potentially useful information for assessing the health status of distribution networks and facilitating stable operation and future development of distribution systems.
分 类 号:TM73[电气工程—电力系统及自动化]
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