Fault classification and location of power transmission lines using artificial neural network

TLDR: In this paper, the authors described the application of an artificial neural network (ANN) based algorithm with modular structure to the fault classification and location of a single-circuit high voltage transmission line.

Abstract: This paper describes the application of an artificial neural network (ANN) based algorithm with modular structure to the fault classification and location of a single-circuit high voltage transmission line Different fault types containing single-phase to ground, two-phase, two-phase to ground and three-phase are considered The variation of fault resistance is considered, too The operation of proposed strategy is not dependent on fault inception angle (FIA) A new classification method is proposed for decreasing of training time and dimensions of ANN Using the proposed method, high accuracy of fault classification is achieved Fundamental component of pre-fault and post-fault positive sequence component of currents and voltages of three phases have been used as inputs to proposed ANN The output of the ANN is the estimated fault location A two machine power system model is simulated by PSCAD/EMTDC to obtain the mentioned voltages and currents values The neural network toolbox of MATLAB is used for training and testing of ANN