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基于电网监测数据的智能化故障研判与处置平台
引用本文:王文嘉,宋健,王大亮,于洪波,崔宇. 基于电网监测数据的智能化故障研判与处置平台[J]. 吉林电力, 2020, 48(2): 31-35. DOI: 10.3969/j.issn.1009-5306.2020.02.009
作者姓名:王文嘉  宋健  王大亮  于洪波  崔宇
作者单位:国网长春供电公司,长春 130021;国网吉林省电力有限公司信息通信公司,长春 130028;国网丹东供电公司,辽宁 丹东 118000
摘    要:为了更好地应对电网突发故障,改善算法因数据量大而导致计算速度慢的问题,建立了基于电网监测数据的智能化故障研判与处置平台,利用关联规则(Apriori)算法挖掘数据间的逻辑关联性,以准确判断故障类型和发生位置,结合停电范围和电网实时运行状态,利用案例推理(CBR)算法检索历史相似故障案例,继而形成新故障处置策略,完成故障处理与恢复供电。

关 键 词:智能电网  自愈能力  监测数据  关联规则算法  案例推理算法

Intelligent Fault Diagnosis and Disposal Platform Based on Monitoring Data of Power System
WANG Wenjia,SONG Jian,WANG Daliang,YU Hongbo,CUI Yu. Intelligent Fault Diagnosis and Disposal Platform Based on Monitoring Data of Power System[J]. Jilin Electric Power, 2020, 48(2): 31-35. DOI: 10.3969/j.issn.1009-5306.2020.02.009
Authors:WANG Wenjia  SONG Jian  WANG Daliang  YU Hongbo  CUI Yu
Affiliation:(State Grid Changchun Power Supply Company,Changchun 130021,China;State Grid Jilin Electric Power Co.,Ltd.Information and Communication Company,Changchun 130028,China;State Grid Dandong Power Supply Company,Dandong 118000,China)
Abstract:In order to better deal with the sudden power grid fault and improve the calculation speed of the algorithm due to the large amount of data,this paper establishes an intelligent fault diagnosis and disposal platform based on the power grid monitoring data.The Apriori algorithm is used to mine the logical correlation between datum,accurately judge the type and location of the fault,combine the power outage scope and the real-time operation status of the power grid,use case-based reasoning(CBR)algorithm to retrieve the historical similar fault cases,and then form a new fault handling strategy to complete the fault handling and power supply restoration.
Keywords:smart power network  self-healing ability  monitoring data  Apriori algorithm  case-based reasoning algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
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