Identifying faulty lines and their accurate location is key for rapidly restoring distribution systems. This will become a greater challenge as the penetration of power electronics increases, and contingencies are seen across larger areas. This paper proposes a single terminal methodology (i.e., no communication involved) that is robust to variations of key parameters (e.g., sampling frequency, system parameters, etc.) and performs particularly well for low resistance faults that constitute the majority of faults in low voltage DC systems. The proposed method uses local measurements to estimate the current caused by the other terminals affected by the contingency. This mimics the strategy followed by double terminal methods that require communications and decouples the accuracy of the methodology from the fault resistance. The algorithm takes consecutive voltage and current samples, including the estimated current of the other terminal, into the analysis. This mathematical methodology results in a better accuracy than other single-terminal approaches found in the literature. The robustness of the proposed strategy against different fault resistances and locations is demonstrated using MATLAB simulations.

Accurately locating the fault helps in the rapid restoration of the isolated line back into the system. This article proposes a novel communication-based multi-terminal method to locate the fault in a radial medium voltage DC (MVDC) microgrid. A time-domain based algorithm is proposed which applies to an MVDC system with different possible combinations of lines and cables. Terminal measurements of voltages and currents, voltages across current limiting reactor (CLR), and node currents are used to propose a flexible online fault location method. Based on the availability of communication and sensors, different terminals can be used to increase the reliability of the proposed fault location method. This method is robust to variations of key implementation parameters like type of faults, fault resistance, fault location, sampling frequency, white Gaussian noise (WGN) in measurement, and different line/cable combinations. Further, the fault location calculation is analyzed with parameter variation. PSCAD/EMTDC based electromagnetic transient simulations are used to validate the performance of the algorithm.