a fault location scheme for distribution networks with inverter-based resources

Numerous techniques have been suggested to pinpoint fault locations in power distribution systems with dgs. in this paper, an efficient and simple feature is extracted by evaluating the pros and cons of traditional techniques. first, the principles of these methods are elaborated. then, an improved fault location method based on impedance estimation is introduced. the proposed method does not suffer from the inherent drawback of the impedance-based methods, which is the need to know the network data and voltage and current measurements along the feeder in multiple points. the proposed feature could be used in ai-based techniques, which considerably improves the accuracy and reduces their complexity. to verify the effectiveness of the scheme, in addition to the mathematical proof, a various set of time-domain simulations are carried out. the results show that the proposed scheme provides effective performance in the presence of ibdgs under the fault with different resistances.