High-precision condition monitoring of critical equipment in modern distribution networks

With more solar photovoltaic integration into distribution networks, there has been an acceleration in electrical equipment ageing. This project aims to provide a cost-effective way to monitor and predict equipment conditions by leveraging big data measured via partners high-precision Distribution Phasor Measurement Units (D-PMUs).

Using laboratory experimentation and advanced machine learning techniques to distill signatures of equipment conditions, the project will provide an online early warning system to prevent impending failures.

The outcome will deliver an innovative condition monitoring tool, which will strengthen the reliability of Queensland distribution networks, reduce electricity costs and achieve Queensland’s 50% renewable energy target by 2030.

Advance Queensland Industry Research Fellowship

Industry Collaborators:  Energy Queensland, NOJA Power