拓扑重构下智能变电站自动防误模型仿真  

Simulation of Automatic Error Prevention Model for Intelligent Substation under Topology Reconstruction

作　　者：郑树松 茅静 董仲星 张如宏 ZHENG Shu-song;MAO Jing;DONG Zhong-xing;ZHANG Ru-hong(State Grid Zhejiang Electric Power Co.,Ltd.Hangzhou Power Supply Company,Hangzhou Zhejiang 310000,China;Hangzhou Electric Power Design Institute Co.,Ltd,Hangzhou Zhejiang 310000,China)

机构地区：[1]国网浙江省电力有限公司杭州供电公司,浙江杭州310000 [2]杭州市电力设计院有限公司,浙江杭州310000

出　　处：《计算机仿真》2025年第1期116-120,共5页Computer Simulation

基　　金：国网浙江省电力有限公司杭州供电公司科技项目(5211HZ22000S)。

摘　　要：现有智能变电站自动化防误方法未考虑设备的复杂连接关系,变电站设备连接关系较为复杂,影响了自动化防误效果。为此,提出了拓扑重构下智能变电站自动化防误操作仿真。利用导向因子重构简化变电站设备的连接关系拓扑,实现单元组设备状态防误监测降维;通过自回归拟合变电站设备操作状态时序特征,结合移动平均函数将变量转换成稳定的周期序列,得到变电站设备误操作状态特征。将神经网络与双向门控循环单元神经网络相结合改进神经网络建构操作防误模型,计算操作票与误操作的相关度,实现变电站自动化防误。通过实验,证明所提技术对智能变电站自动化防误效果较好,可提高电力供应的可靠性和稳定性,确保电网安全运行。The existing intelligent substation automation error prevention methods do not consider the complex connection relationship of the equipment,and the connection relationship of the substation equipment is complicated,which affects the automation error prevention effect.For this reason,the simulation of intelligent substation automation error-proof operation under topology reconstruction is proposed.The topology of connection relationship of substation equipment is simplified by using guiding factor reconstruction to realize the downgrading of unit group equipment state error prevention monitoring;The time series characteristics of operation state of substation equipment are fitted by autoregression and the variables are converted into stable periodical sequences by combining with the moving average function to obtain the characteristics of the misoperation state of substation equipment.The neural network is combined with the bidirectional gated recurrent unit neural network to improve the neural network to construct the operation error prevention model,calculate the correlation between the operation ticket and the misoperation,and realize the automatic error prevention in substation.Through the experiments,it is proved that the proposed technology is effective in preventing errors in intelligent substation automation,which can improve the reliability and stability of power supply and ensure the safe operation of power grid.

关 键 词：拓扑重构 时间序列 智能变电站 自动化防误 贴近度指数 

分 类 号：TM74[电气工程—电力系统及自动化]