A Comparative Study between ANN and ANFIS for Asymmetrical Fault Current Analysis in Power Systems
Keywords:
Fault current analysis, Artificial Neural Network, Adaptive Neuro-Fuzzy Inference SystemsAbstract
This paper presents the asymmetrical fault analysis at the location of buses and lines in the power system. Artificial Neural Network typed Multi Layer Neural Networks with Back-Propagation learning algorithm (ANN) is compared with Adaptive Neuro-Fuzzy Inference Systems (ANFIS). The ANN and ANFIS are used to learn the relationship between fault location and fault type, which effect on fault current. The data used in this study came from IEEE 30-bus and EGAT North-eastern area which calculated by PowerWorld program. The analysis result shows that the ANN obtains more accurate solutions than the ANFIS.
References
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