Making Fault Data and Non-SCADA Data Accessible for Predictive Analysis in Data Historians
Analyzing power system disturbances is a critically important task for any electrical utility. When a power system event occurs, such as an outage, utilities need a clear picture of the root cause of the event in order to take the optimal corrective action. Appropriate responses to system events will allow the utility to improve grid reliability, safety, profitability and to increase customer satisfaction.
Historical analysis on both the fault data and non-SCADA data allows utilities to perform predictive maintenance, event analysis, load contingency studies, reliability improvement studies, substation transformer life studies, power quality studies and much more. This analysis enables utilities to better prioritize money, prioritize labor resources and improve system reliability.
The paper discusses how a major North American utility, Southern Company, approached the process for automated fault file collection highlighting the importance and benefits that a company can receive by archiving both fault file data and non-SCADA data in a data historian.