A new fault location technique for underground distribution circuits using artificial neural network
Conference
·
OSTI ID:94256
- Rensselaer Polytechnic Inst., Troy, NY (United States). Dept. of Electric Power Engineering
A novel technique for locating faults in underground cable circuits is presented. The technique utilizes a concept of artificial neural networks. During a system fault a set of measurements of voltages and currents at various locations in the distribution circuit is used as a pattern that is applied to a specially-trained neural network (NN). This pattern is then compared with the library of training patterns (cases) to recognize the location of the fault. The output of the neural network is graphically displayed as a simple 3-D chart that provides an operator with an instantaneous indication of the location of the fault. The last section of the paper illustrates sample results for two typical distribution circuits and discusses the sensitivity analysis of the new method.
- OSTI ID:
- 94256
- Report Number(s):
- CONF-950414--
- Country of Publication:
- United States
- Language:
- English
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