不依赖零序电压的配电站所接地故障识别方法

缺少零序电压采集的配电站所终端通常用融合识别方法识别接地故障,要求融合识别方法能够适应配电站所的不同拓扑,而且对较小接地电流的故障有较高的识别准确率.文中提出的方法结合了物理模型驱动和神经网络方法.首先,基于接地故障的物理模型,通过比对优化基于零序电流的特征量,预处理数据并选取参考间隔,解决拓扑或间隔数变化的问题,并设...

Identification Methohd of Grounding Fault for Distribution Station Independent of Zero-sequence Voltage

Fusion identification method is usually used to identify grounding faults by distribution station terminals without access to zero-sequence voltage. It is required that the fusion identification method can adapt to different topologies of distribution stations, and has high identification accuracy for faults with small grounding current. The proposed method combines the physical-model-driven and neural-network methods. First, based on the physical model of grounding faults, this method preprocesses data, selects reference bay and solves the problem of adaptation to different topologies and the number of bays according to the comparison and optimization of zero-sequence current characteristic quantities. And the characteristic quantity of the phase current of a single bay is designed to improve the accuracy of fault identification. Then, a neural network is designed to fuse multiple characteristics to enhance the collaborative judgment ability of different characteristics and reduce the influence of the settings on the sensitivity. Field grounding fault experimental results demonstrate the strong adaptability to different topologies and the high identification accuracy of the the proposed method.