基于智能索引算法的集控设备事故辅助预警方法研究  

Research on auxiliary early warning method of centralized control equipment accident based on intelligent index algorithm

作　　者：李鹏[1] 林显 曾旭川 LI Peng;LIN Xian;ZENG Xuchuan(Three Gorges Cascade Dispatching and Communication Center,Chengdu 610094,China)

机构地区：[1]三峡水利枢纽梯级调度通信中心,四川成都610094

出　　处：《电子设计工程》2024年第5期131-135,共5页Electronic Design Engineering

摘　　要：为了保障电力集控中心设备正常运转,针对信息检索效率较差、电压偏差控制效果较差的问题,研究基于智能索引算法的集控设备事故辅助预警方法。利用R-树索引算法检索集控设备运行数据集内设备事故数据;计算集控设备事故数据状态向量间的相似度,将该相似度组成相似度向量后,利用滑动窗口算法计算集控设备事故辅助预警阈值,当集控设备事故数据状态向量相似度低于该阈值时,则向用户发出设备事故辅助报警。实验结果表明,该方法采集集控设备电压偏差仅为0.05 V左右,可有效采集集控设备运行数据;检索设备事故信息较为迅速和准确。In order to ensure the normal operation of power centralized control center equipment,aiming at the problems of poor information retrieval efficiency and poor voltage deviation control effect,an auxiliary early warning method for centralized control equipment accidents based on intelligent index algorithm is studied.The R-tree index algorithm is used to retrieve the equipment accident data in the centralized control equipment operation data set.Calculate the similarity between the state vectors of the centralized control equipment accident data.After the similarity is formed into the similarity vector,the sliding window algorithm is used to calculate the auxiliary early warning threshold of the centralized control equipment accident.When the similarity of the state vectors of the centralized control equipment accident data is lower than the threshold,the auxiliary alarm of the equipment accident is sent to the user.The experimental results show that the voltage deviation of centralized control equipment collected by this method is only about 0.05 V,which can effectively collect the operation data of centralized control equipment.It is quick and accurate to retrieve equipment accident information.

关 键 词：智能索引算法 集控设备事故 辅助预警方法 关联规则 

分 类 号：TN925.1[电子电信—通信与信息系统]