Efficient Fault Detection and Location in Extra High Voltage Networks: An Artificial Neural Network (ANN)-Based Approach
Keywords:
ANN, EHV, Fault Location, Detection, BackpropagationAbstract
This paper focuses on the use of ANN to detect and locate faults in Extra High Voltage (EHV) network. For each phase in the fault location process, backpropagation algorithms and feedforward networks have been used. Many ANNs have been proposed for each of the many types of faults that might occur, including LG, LL, LLG, and 3f faults. To support the selection of the neural networks in each phase, analysis on neural networks with different numbers of hidden layers and neurons per hidden layer has been provided. The simulation results show that the ANN-based strategy was effective in finding transmission line problems and achieving good outcomes.
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