Application of Immune Support Vector Regression for Fault Location on Power Transmission Line
Because it is difficult to select the parameters of support vector regression(SVR),so an immune support vector regression(ISVR) for fault location is presented in the paper.It uses immune algorithm to optimize the parameters of SVR in order to globally optimize parameters and reduce the blindness of parameters selection by man and improve generation performance of SVR.Compared to the standard SVR,the parameters selection of this algorithm has more specific rule to follow and accelerates the optimization process.A large number of simulations show that the algorithm for fault location is of higher precision,stronger adaptability,fewer samples;and it is free from influence of factors such as fault transition resistance,opposite side impedance changes,and it eliminates false root in the conventional one-terminal algorithm and divergence in iteration.