Decision Level Fusion-Based Faulty Section Identification For Medium Voltage Zonal DC Microgrid

This paper proposes a faulty section identification technique for medium voltage zonal DC microgrids. DC systems prove to be more challenging in comparison to AC systems in the context of real-time protection. Numerous well-established AC system protection techniques may not work satisfactorily in the case of DC systems. The scheme presented here works on the first derivatives of DC current, DC voltage, and resistance under faulty conditions. The scheme is tested for a 380V zonal DC microgrid modeled using the MATLAB Simulink environment for various fault scenarios, including Line-to-Line faults, Line-to-Ground faults, close-in faults, high resistance faults, external faults, and load switching. Results obtained from the simulation establish the validity of the proposed faulty section identification scheme.