I-NERGY Project:
Circuit Breaker Asset Management
by R&D Nester

Dashboard for Asset Management of Circuit Breakers (CBs), including a set of AI-based analytics for power system fault analysis and predictive maintenance for CBs, predicting the optimal days of operation before the next maintenance action is required.

About I-NERGY

I-NERGY is an EU funded project aiming to support, develop and demonstrate innovative AI-as-a-Service (AIaaS) Energy Analytics Applications and digital twins services validated along 9 pilots (15 use cases) across 8 countries.

The large geographical coverage of the demo sites aims to support the EU-wide replicability and market take-up of AI-driven solutions in different socio-economical contexts to maximize the impact of I-NERGY services across Europe. I-NERGY pilot’s approach permits to comprehensively test the analytics devised to cover the initially detected interests of relevant EPES stakeholders within the energy value chain, covering their whole energy market: from the operation and maintenance to the society, as well as cross-cutting interests, such as policy making and research.

The AI energy services focus on three different sectors:

• Energy Commodity Networks
• Distributed Energy Resources
• Energy Efficiency

UC1 - AI for enhanced network assets predictive maintenance, integrating off-grid data with condition-based monitoring

1) Fault Analysis

The service is divided into four different submodules:

• Fault Detection: Detects whether the COMTRADE file describes a fault event in the power system or not.
• Fault Classification: Perform classification of the fault under analysis (e.g., single line to ground short circuit).
• Incident Report: Compute incident statistics key to asset management departments, using data extracted through signal processing techniques (e.g., FFT, wavelet transforms) on voltage and current analogue time-series data.
• Predictive Maintenance: Predict the remaining days of normal operation of the asset, providing maintenance action suggestions accordingly. The module is called upon in the asset management service, after adding a new event to the database.

2) Asset Management Dashboard

After processing all available fault events into the pipeline, one can use the Asset Management Database to have a handy and efficient tool for asset management departments of system operators. The database stores the processed faults grouped by assets and leverages colors for fast and easy visualization of assets' status. The color depends on the failure probability calculated by the above Predictive Maintenance module, which considers the CB to have anomalous operations according to the following standard ranges of normal operation, depending on the rated voltage:

The failure probability threshold triggering the red label, meaning maintenance is required, is set at 95%, but may be modified in the dashboard. It is possible to edit the date as well, to analyze assets' status in previous years. By clicking on each row, one will have a more detailed visualization on the events occured for a certain asset, and by clicking on the events, current and voltage signals will be shown.

To access UC1 services, click on the buttons below:

Go to Fault Analysis Go to Asset Management

In case you do not have yet access to the service, please contact info@rdnester.com.

More information available at:

• I-NERGY webpage
• R&D Nester webpage