Ground faults in medium-voltage distribution networks with resonant grounding present a detection challenge due to the small fault currents. This paper proposes a coordinated protection mechanism that combines multiple algorithms – including wavelet energy entropy analysis, zero-sequence impedance estimation, transient feature extraction, and fuzzy logic decision fusion – for networks employing an arc suppression coil in parallel with a switchable low-resistance grounding. The arc suppression coil (ASC) cancels most capacitive fault current, while a parallel resistor provides controllable damping to improve fault detection. The proposed scheme processes high-frequency transient signatures and fundamental-frequency zero-sequence criteria in parallel, then fuses the information using a fuzzy logic inference system. Simulation experiments on a 10 kV resonant-grounded network demonstrate that the multi-algorithm scheme achieves superior fault detection accuracy and faster trip response compared to single-criterion methods. It reliably identifies high-resistance and intermittent arc faults, significantly improving protection sensitivity and selectivity under various fault conditions. This research offers an effective intelligent protection approach for enhancing the reliability of distribution systems with hybrid resonant grounding.