摘要
结合反向传播(Back Propagation,BP)神经网络模型,提出了一种定位继电保护系统故障的方法。根据继电保护系统运行情况构建继电保护系统状态解析式,将其作为继电保护系统故障判断依据,利用矩阵算法获取继电保护系统故障范围,并将其输入到BP神经网络中获取精准定位结果。以某变电站继电保护系统的跳闸事故为例,验证了所提算法的有效性和可靠性。
Combined with the Back Propagation(BP)neural network model,a method of fault location of relay protection system is proposed.According to the operation of relay protection system,the analytical formula of relay protection system state is constructed,which is used as the basis of relay protection system fault judgment.The fault range of relay protection system is obtained by matrix algorithm,and it is input into BP neural network to obtain accurate positioning results.Taking a substation relay protection system tripping accident as an example,the effectiveness and reliability of the proposed algorithm are verified.
作者
高峥
韩艳
刘佳
GAO Zheng;HAN Yan;LIU Jia(Ultra-High Voltage Branch of State Grid Jibei Electric Power Co.,Ltd.,Beijing 102488,China)
出处
《通信电源技术》
2023年第2期220-223,共4页
Telecom Power Technology
