摘要
针对配电网中小电流接地系统故障选线难的问题,提出一种基于RNN⁃LSTM神经网络的小电流接地故障多判据融合的选线方法。将各线路零序电流的基波特征分量、五次谐波特征分量、小波能量特征分量作为输入量,将故障线路作为输出量,建立小电流接地故障选线RNN⁃LSTM选线模型。最后用MATLAB/Simulink进行仿真验证,验证了算法的准确性和可行性。
In view of the difficulty in selecting line in low current grounding systems in distribution networks,a kind of line selection method based on RNN⁃LSTM neural network is proposed for multi⁃criterion fusion of low current ground faults.The RNN⁃LSTM line selection model of the low current ground fault selection line is set up by taking the fundamental characteristic component,the fifth harmonic characteristic component and the wavelet energy char⁃acteristic component of the zero⁃sequence current of each line as the input and the fault line as the output.Finally,Matlab/Simulink is used for simulation verification,which verifies the accuracy and feasibility of the algorithm.
作者
朱晓红
杨伟荣
张蓉
张安斌
李盼盼
ZHU Xiaohong;YANG Weirong;ZHANG Rong;ZHANG Anbin;LI Panpan(Qujing Power Supply Bureau of Yunnan Power Grid Co.,Ltd.,Yunnan Qujing 655000,China;Hefei Yixin Electrical Science and Technology Co.,Ltd.,Hefei 230000,China)
出处
《高压电器》
CAS
CSCD
北大核心
2023年第7期213-220,共8页
High Voltage Apparatus
基金
云南电网公司科技项目计划资助(YNKJXM20220143)。
