Fault Locating of Grounding Grids Based on Ant colony Optimizing Elman Neural Network
- Resource Type
- Conference
- Authors
- Zhipeng, Yi; Minfang, Peng; Hao, He; Xianfeng, Liu
- Source
- 2012 Third International Conference on Digital Manufacturing & Automation Digital Manufacturing and Automation (ICDMA), 2012 Third International Conference on. :406-409 Jul, 2012
- Subject
- Components, Circuits, Devices and Systems
Power, Energy and Industry Applications
Grounding
Biological neural networks
Training
Vectors
Conductors
Fault diagnosis
grounding grids
fault locating
Elman neural network
ant colony algorithm
- Language
In order to improve the accuracy and efficiency of the fault location of grounding grids, a new method combing ant colony algorithm (ACA) with Elman neural network is proposed. The method contrasts the voltages of the test points when the grounding grids is normal or not. The simulation results showes that the method can save time and improve accuracy.