基于次序依赖的智能配电网损坏数据自动修复模型构建  

Construction of an automatic repair model for damaged data of intelligent distribution network based on order dependence

作　　者：卢俊 李朝瑞 肖康 戚永青 邓奕星 LU Jun;LI Chaorui;XIAO Kang;QI Yongqing;DENG Yixing(State Grid Xiangyang Power Supply Company,Xiangyang 441002,China;HY Power Technology Co.,Ltd.,Guangzhou 510000,China)

机构地区：[1]国网襄阳供电公司,湖北襄阳441002 [2]国电华研电力科技有限公司,广东广州510000

出　　处：《电子设计工程》2021年第21期74-78,共5页Electronic Design Engineering

基　　金：国家重点研发计划(2018YFB0904800);国网湖北省电力有限公司科技项目(5215C018002H)。

摘　　要：目前提出的智能配电网损坏数据自动修复模型修复完整度较低,导致损坏数据收集精准度较差。基于次序依赖构建一种新的智能配电网损坏数据自动修复模型,确定自动修复数据通过序列的组数,设定迭代数据,重新在动态规划结构中应用二分法查找相应的n值与符合复杂度的次序依赖位置。根据分层数据采集优化结构得到智能配电网损坏数据自动修复模型。实验结果表明,基于次序依赖的智能配电网损坏数据自动修复模型有效提高了修复完整度,增强了损坏数据收集精准度。The currently proposed automatic repair model for damaged data in smart distribution networks has low repair integrity,resulting in poor accuracy in collecting damaged data.Based on order dependence,build a new automatic repair model for damaged data of intelligent distribution network,determine the number of groups of automatic repair data through the sequence,set iterative data,and re⁃apply the dichotomy in the dynamic programming structure to find the corresponding n value and meet the complexity the order of degrees depends on location.According to the optimized structure of hierarchical data collection,an automatic repair model of damaged data of the intelligent distribution network is obtained.The experimental results show that the automatic repair model of damage data for intelligent distribution network based on order dependence effectively improves the integrity of repair and enhances the accuracy of damage data collection.

关 键 词：次序依赖 智能配电网 损坏数据 自动修复 修复模型 

分 类 号：TN914[电子电信—通信与信息系统]