Self-healing Capability against Power Outage in Smart Grid

Abstract

An important feature of the new Smart Grid is self-healing capability against major power outages, transient instability, and power quality disturbance events. Of those probably the most damage done is by a power outage caused by a natural disaster. Just recently hurricanes like Dorian, Elsa, Ida, etc. caused large-scale blackouts. This is not to mention the most frequent bad weather, unexpected tornados, and hurricanes categorized under the rank of two. In those cases, the smart Grid should have a prediction and estimation capability for rapid maintenances. Most works in this area concentrate on learning a machine from historical logs, learning environmental measured data from satellites, or surprisingly enough but sometimes analyzing measured electromagnetic signals that are above the normal background activity of the earth. In the frequent case of power quality disturbance and transient instability, many works in the literature enable self-healing capability. But devices need to be software-defined equipped with cognitive capability that can be remotely reconfigured.