Power outages represent one of the most significant challenges facing electrical power systems, as a fault in a single distribution line can interrupt supply to extensive areas. In conventional systems, locating the fault, isolating it, and restoring power requires considerable time and effort from maintenance crews. But what if the electrical grid could automatically identify the affected section and restore power to undamaged areas on its own? ​What Are Self-Healing Grids? ​Self-Healing Grids are defined as systems that utilize automated monitoring and control technologies to detect faults, isolate damaged sections, and restore supply to healthy portions of the grid whenever operational conditions permit. ​These systems rely on sensors, protection equipment, controllable switchgear, and communication networks that transmit data to Distribution Management Systems (DMS). ​Among the key technologies employed is the Fault Location, Isolation, and Service Restoration (FLISR) system, which aims to minimize the number of affected customers and reduce outage durations. ​How Does the Grid Automatically Restore Power? ​Consider a distribution network supplying one thousand homes, where a fault occurs in a segment feeding two hundred homes. ​In a conventional grid, a larger number of customers might experience an interruption until the fault is manually located and necessary switching operations are performed. ​In a self-healing grid, however, the system can pinpoint and isolate the damaged segment using automated switching devices, then restore power to the remaining healthy sections via alternative power pathways. ​If alternative lines with adequate capacity are available, the system may successfully restore electricity to eight hundred homes while keeping only the damaged segment isolated until repairs are completed. ​(Note: This is a simplified hypothetical scenario to illustrate the underlying principle, not a fixed operational outcome; the actual feasibility of service restoration depends on network architecture, loading constraints, and protection coordination requirements). ​Is Artificial Intelligence Required for These Grids? ​Not all self-healing systems require artificial intelligence; many operate effectively using traditional rule-based control logic and deterministic algorithms. ​Nevertheless, AI algorithms can enhance performance by analyzing fault data, estimating fault locations, and evaluating optimal restoration configurations. ​Crucially, validating the safety and stability of switching maneuvers remains essential prior to executing any automated decision, particularly in networks with integrated Distributed Generation (DG). ​What Challenges Impede Deployment? ​Implementing these systems demands a reliable communications infrastructure, advanced control switchgear, and precise coordination among protection devices. ​Furthermore, cybersecurity protection poses a significant challenge, as operational decisions rely heavily on continuous data exchange across interconnected system components. ​Toward More Reliable Power Grids ​Self-healing grids represent a vital direction in the evolution of electrical distribution systems, significantly reducing the impact of power disruptions and accelerating service restoration without relying solely on manual intervention. ​As control and communication systems continue to advance, these technologies will contribute to building more resilient networks capable of responding dynamically to disturbances—opening promising new research avenues for students and researchers in electrical power engineering. ​Al-Mustaqbal University – The First University in Iraq.