Abstract: In this paper, a novel technique is presented for fault location in Distribution Networks (DN) in the presence of distributed generators (DGs). The proposed approach uses recorded voltage and current at the beginning of feeder and DG terminals. This method is based on transient state data, and due to presence of high frequencies in this state, to achieve high accuracy it utilizes the Distributed Time-Domain (DTD) line model. To calculate the fault location and resistance, the problem is formulated as an optimization problem and solved using Genetic Algorithm (GA). Through modal transformation, in addition to locate the symmetrical three-phase to ground (3LG) faults, the location of asymmetrical faults including single line to ground (SLG) and double line (LL) faults can also be determined. The effects of fault distance, fault resistance and fault inception angle on the accuracy of the proposed algorithm have also been investigated. In order to overcome the multi-response problem and to estimate fault section, the measured voltage samples are compared with those of obtained from the simulation of the possible fault points. The proposed method can also be applied to networks with multiple DGs. The simulations are conducted and the results are obtained via PSCAD and MATLAB softwares, respectively. The effectiveness of the proposed approach has been verified using the modified IEEE 34-node test feeder under

Keywords