**5. Future Work**

After the fault current characterization and evaluation of SCs' performance during fault conditions, it has been identified that that there are many challenges that the protection schemes must take into consideration. As the simulation results revealed, the variable resistance of SCs, the reduced fault currents, the higher voltage magnitude during quenching stages, and the impact of high fault resistance values which jeopardize the quenching process, are factors which are anticipated to introduce challenges to the fault detection and classification methods, and by extension to the applicability of conventional protection schemes (e.g., over-current, distance protection, etc.) towards protecting SCs feeders. Considering the protection of future power grids (integrating SCs and inverter-connected generation), more research shall be steered towards the development of novel protection solutions which capture the particularities and distinctive features of SCs. For example, potential merits can arise from the utilization of learning-based methods for fault diagnosis on SCs, such as Deep-Learning techniques, which take advantage of the sequential relationships of the data and are able to handle long-term dependencies and correlated features that are important for fault diagnosis.

**Author Contributions:** Conceptualization and Investigation, E.T., A.E. and D.T.; Methodology E.T., D.T., A.E., A.D. and M.E.; Resources E.T., A.E., Q.H., W.Y. and M.E.; Software E.T., A.E. and D.T.; Analyses and interpretation of data E.T., A.E., D.T., W.Y. and A.D.; Supervision D.T., A.D., C.B. and Q.H.; Visualization E.T.; Writing-original draft E.T.; Writing-review and editing D.T., A.E., A.D., C.B., Q.H., M.E. and W.Y. All authors have read and agreed to the published version of the manuscript.

**Funding:** This research received no external funding.

**Conflicts of Interest:** The authors declare no conflict of interest.
