This use case describes how “Data Beyond SCADA” can improve SCE’s ability to identify fault locations. SCADA data represents the operations information used by utilities to monitor and control the transmission grid on a real-time and remote basis (generally from a staffed operations center). “Data Beyond SCADA” represents information about the configuration and health of electrical grid and equipment that is not time sensitive or operational in nature. Utilities generally use this information to assess equipment utilization and health, and to develop long-term maintenance plans. It can also be used to analyze events on the electrical grid on post-event basis. One potential application of “Data Beyond SCADA” is to automate the fault location identification process. Existing fault location identification processes are manual and time consuming. Using “Data Beyond SCADA” to automate these processes would allow SCE to identify fault locations in less time and with greater accuracy. This would enable SCE to complete any necessary repairs and to restore service more quickly.
This use case presents two scenarios, one for transmission and one for distribution. The transmission scenario describes a process whereby a single fault location is identified by a Fault Analysis Application through analysis of the fault currents and voltages, as captured by oscillography. The distribution scenario describes a process in which the Fault Analysis Application identifies a small number of potential fault locations through a similar signature analysis process. The Outage Management System then narrows down the Fault Analysis Application list using additional information from other field devices, such as SmartConnect meters, and customer outage calls. The business value of locating faults through“Data Beyond SCADA” includes improved system reliability and reduced costs.