Abstract：The distribution of each phase short-circuit current may be changed when a single phase grounding fault occurs in the distribution network with DGs.According to analysis of the zero sequence current, a new algorithm decomposing zero sequence current on four scales with wavelet function Db4 is presented. Fault characteristic components were extracted to train BP neural network. A distribution model with DGs is built by Matlab/Simulink to verify the algorithm. The results indicate that, the algorithm based on wavelet packet transform and BP neural network has a good practicability and reliability, which is not affected by the neutral grounding, grounding resistance and faults occurring time.
朱红, 王勇, 马洲俊, 文路. 基于小波神经网络的新型配电网单相短路选线算法试验研究[J]. 电气技术, 2016, 17(6): 81-85.
Zhu Hong, Wang Yong, Ma Zhoujun, Ji Wenlu. Test and Research on New Selection Algorithm for Single Phase Grounding Fault in Distribution Network with Distributed Generations. Electrical Engineering, 2016, 17(6): 81-85.
2016, Vol. 17 
