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Transformer Monitoring



Case Study: Rapid Changes in Bushing Health

IntroductionContinuous online monitoring of bushings provides real-time information which can result in the early detection of a possible failure. Challenge: A Major AlarmA prominent U.S. utility was looking for a way to improve system reliability for their 138kV assets. They researched and...

How to Improve Transformer Protection

Using symmetrical components for fault discrimination in differential protection BY IMRAN RIZVI, ABB Inc. Classical differential protection schemes are subject to ghost differential currents due to current transformer (CT) saturation and magnetization currents. Several methods are used to counter...

Transformer Monitoring

Advanced Sensor Technologies for Intelligent Transformers and Substations

In the evolving landscape of power grid management, integrating advanced sensor technologies in intelligent transformers and substations is revolutionizing monitoring and control. These sensors provide real-time data collection and analysis, significantly improving asset management and fault detection. Modern sensors enhance substation automation by enabling real-time monitoring, fault detection, and predictive control.

This article delves into the types of advanced sensors used in transformers and substations, the benefits of real-time data collection and analysis, the integration...

Related Articles


How to Improve Transformer Protection

Using symmetrical components for fault discrimination in differential protection BY IMRAN RIZVI, ABB Inc. Classical differential protection schemes are subject to ghost differential currents due to current transformer (CT) saturation and magnetization currents. Several methods are used to counter...

The Truth About Cast-Resin Transformers

Debunking the myths surrounding aluminum usage BY SCOTT MAY, VIJAI NARAYANAN, ANDREW LAWLESS, Siemens Much has been written about the use of aluminum versus copper for transformer conductors within the electrical industry. Aluminum conductors have been used successfully in the electrical industry...

Advantages of Headspace Hydrogen Monitoring for Network Transformers

INTRODUCTION The utilization of online dissolved gas analysis monitoring has proven to be one of the most effective predictors of overall transformer health and condition. Monitoring can vary greatly from nine gas to single gas systems to best suit the customers application when considering...

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FERC Approves Interconnection for Talen Energy, Amazon Data Center

In a significant move that underscores the growing demand for reliable and sustainable energy to power the expanding digital infrastructure, the Federal Energy Regulatory Commission (FERC) has approved an interconnection agreement between Talen Energy, Amazon Web Services (AWS), and Exelon. This...


The Role of AI and Machine Learning in Predicting Transformer Faults

AI and Machine Learning can predict transformer faults by analyzing dissolved gas data, thermal patterns, and vibration trends to identify insulation degradation, detect anomalies, and prevent costly power transformer failures before they occur. Why AI Integration into Transformer Diagnostics...

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