Enhanced power grid secondary asset management

A non-transitory computer-readable medium comprising instructions that when executed by processing circuitry of a power system cause the processing circuitry to:

• send, by IEDs in a power system, secondary asset management data of the IEDs to at least one device of a device management system or software in communication with the IEDs;
• receive, by the at least one device, the secondary asset management data and additional secondary asset management data from the IEDs to map each secondary asset unique tag (IED) with a corresponding primary asset and an associated breaker, and current and voltage transformer unique tags in a database;
• during a baseline period, register, by the at least one device, baseline device profiles for the IEDs using the secondary asset management data and the additional secondary asset management data;
• form, by the at least one device, baseline IED clusters based on similar statistical data profiles of the IEDs and applications, ages, and manufacturer type of the IEDs;
• during a monitoring period, compare, by the at least one device, latest retrieved secondary asset management data from the IEDs to the baseline device profile of a same IED and a corresponding IED cluster profile of the same IED;
• during the monitoring period, identify, by the at least one device, based on the comparing, deviations between the latest secondary asset management data and at least one of the baseline device profile or the corresponding IED cluster profile;
• during the monitoring period, determine, by the at least one device, based on the deviations, a respective risk index for each of the IEDs;
• during the monitoring period, determine, by the at least one device, based on the latest retrieved additional secondary asset management data, comprising ambient environmental condition data, primary asset data, breaker data, and current and voltage transformer data, deviating from the corresponding baseline device profiles created using the additional secondary asset management data, a respective risk influence factor for each of the IEDs;
• during the monitoring period, determine, by the at least one device, based on the respective risk index and the respective risk influence factor for each of the IEDs, a final risk index for each of the IEDs;
• and
• rank, by the at least one device, a fleet of the IEDs based on the final risk index for each of the IEDs.

A system for managing intelligent electronic devices (IEDs) in a power system, the system comprising memory coupled to at least one processor, wherein the at least one processor is configured to:

• send, by IEDs in a power system, secondary asset management data of the IEDs to at least one device of a device management system or software in communication with the IEDs;
• receive, by the at least one device, the secondary asset management data and additional secondary asset management data from the IEDs to map each secondary asset unique tag (IED) with a corresponding primary asset and an associated breaker, and current and voltage transformer unique tags in a database;
• during a baseline period, register, by the at least one device, baseline device profiles for the IEDs using the secondary asset management data and the additional secondary asset management data;
• form, by the at least one device, baseline IED clusters based on similar statistical data profiles of the IEDs and applications, ages, and manufacturer type of the IEDs;
• during a monitoring period, compare, by the at least one device, latest retrieved secondary asset management data from the IEDs to the baseline device profile of a same IED and a corresponding IED cluster profile of the same IED;
• during the monitoring period, identify, by the at least one device, based on the comparing, deviations between the latest secondary asset management data and at least one of the baseline device profile or the corresponding IED cluster profile;
• during the monitoring period, determine, by the at least one device, based on the deviations, a respective risk index for each of the IEDs;
• during the monitoring period, determine, by the at least one device, based on the latest retrieved additional secondary asset management data, comprising ambient environmental condition data, primary asset data, breaker data, and current and voltage transformer data, deviating from the corresponding baseline device profiles created using the additional secondary asset management data, a respective risk influence factor for each of the IEDs;
• during the monitoring period, determine, by the at least one processor, based on the respective risk index and the respective risk influence factor for each of the IEDs, a final risk index for each of the IEDs;
• and
• rank, by the at least one processor, a fleet of the IEDs based on the final risk index for each of the IEDs.