基于深度神经网络的数字化变电站继电保护二次回路监测研究

Research on Digital Substation Relay Protection Secondary Circuit Monitoring Based on Deep Neural Networks

常规的变电站继电保护二次回路监测方法以虚拟场景监测为主,很难做到全面覆盖,影响二次回路监测的准确性。文章设计了一种基于深度神经网络的数字化变电站继电保护二次回路监测方法。通过识别数字化变电站二次回路的不平衡负荷电流,分析二次回路中电流的变化情况。基于深度神经网络监测继电保护二次回路的运行状态和运行规律,并实现二次回路运行状态的可视化展示,避免监测失误问题。采用对比实验证实该方法的监测准确性较高,能够应用于实际生活。

The conventional monitoring method of secondary circuit of substation relay protection is mainly based on virtual scene monitoring,which is difficult to achieve comprehensive coverage and affects the accuracy of secondary circuit monitoring.In this paper,a monitoring method of secondary circuit of digital substation relay protection based on deep neural network is designed.By identifying the unbalanced load current in the secondary circuit of digital substation,the change of the secondary circuit current is analyzed.Based on the deep neural network,the operation state and law of the secondary circuit of relay protection are monitored,and the visual display of the operation state of the secondary circuit is realized to avoid the monitoring error.The comparison experiment proves that the monitoring accuracy of this method is high and it can be applied to real life.