Neural Network Approach for Fault Location in Distribution Networks with Limited Measurements

this paper presents new method for fault location in radial distribution feeder in which artificial neural network and the measurements of the limited points along the radial distribution feeder are used to enhance the accuracy of the fault locator. Conventional fault locator uses recursive algorithm of load flow in order to estimate the loads in each tap of distribution feeder before fault

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