a new whale optimization algorithm-based fault location method by focusing on dispersed model of the transmission line

In this paper, a fault location approach is presented by using the whale optimization algorithm (woa) strategy in two terminal transmission feeders. also, the grey wolf optimization (gwo) method is discussed. voltage and current are measured in both ends to collect the data required for the proposed strategy. the paper considers several types of faults and simulations, and the objective function identifies the fault location with a high accuracy in a short time. in addition, based on distributed model of the line, the fault location is defined and the optimization algorithm does not utilize the compressed model of the line, and the calculations are highly accurate. the woa-based optimization method results in a notable reduction in the computational time. as the benefit of the proposed technique, accurate and timely location of the source of the fault is highly helpful to the repair crew. almost in all cases, the accuracy of the proposed procedure is very high, and the error is kept below 1%.