Assurance of Stability: Non-Intrusive Oscillation Monitoring and Early Warning (NOME)

Project summary

In the Data-Driven Oscillation Monitoring and Early Warning (DOME) project with NESO, we have demonstrated that impedance participation factor (IPF) is an effective early-warning method for generic (including IBRs induced) oscillations. However, the IPF were obtained by frequency-screening of the system, which may pose a stability risk itself, due to the extra and sustained perturbation needed during the frequency-screening. This project will investigate non-intrusive perturbation methods based on DOME and thereby develop an early warning system for oscillations with minimum impact on system stability.  

Name Status Project reference number Start date Proposed End date
Non-Intrusive Oscillation Monitoring and Early Warning (NOME) Live NIA2_NESO102 Sep 2025 Sep 2027
Summary

In the Data-Driven Oscillation Monitoring and Early Warning (DOME) project with NESO, we have demonstrated that impedance participation factor (IPF) is an effective early-warning method for generic (including IBRs induced) oscillations. However, the IPF were obtained by frequency-screening of the system, which may pose a stability risk itself, due to the extra and sustained perturbation needed during the frequency-screening. This project will investigate non-intrusive perturbation methods based on DOME and thereby develop an early warning system for oscillations with minimum impact on system stability.  

Benefits

Expensive mitigation actions are typically taken after a major oscillation event. The cost of an oscillation event can be even higher if it triggers a power outage. This project enables NESO to rapidly and accurately identify the origins of oscillations and thereby limit the range and impact of oscillation events. The project additionally provides a tool for the NESO to communicate with vendors for effective cause identification and troubleshooting. The project aims to deliver clear guidelines for deploying data measurement devices

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