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A new method to improve fault location accuracy in transmission line based on fuzzy inference data fusion technology

Accurate fault location is important in transmission lines. As location results from two ends of line are conflicting, the operators cannot restore the fault quickly. In this paper, based on fuzzy inference data fusion technology, a new method is proposed to improve the fault location accuracy by using the location results from distance relays installed in the different end of line. The simulation data is trained firstly to establish the data fusion model. During the modeling, the fuzzy inference system (FIS) is formed by using the training data. Then the data fusion model is validated by using the test data. The fault location result is obtained based on the fuzzy inference data fusion technology. The results through PSCAD/EMTDC simulation show that the method can improve the fault location accuracy and is not affected by fault type, fault resistance and data asynchronization.