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Transformer Software & Technologies



Grounding Transformers Explained

By R. W. Hurst, Editor Grounding transformers are used to provide a path to ground for unbalanced load current and for fault currents on systems where a suitable ground is otherwise not available. Grounding transformers are normally constructed with one of the two configurations: Zig-Zag (Zn) with...

Optimal Transformer Efficiency Using Weighted Average

In order to improve the efficiency of electrical distribution in commercial buildings, the US Department of Energy (DOE) introduced regulations with more stringent minimums on transformer efficiencies in January 2016. This was covered under the Code of Federal Regulations 10 CFR Part 431.192 and...

Transformer Software & Technologies

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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 agreement allows for the integration of new energy generation sources to supply a large-scale Amazon data center facility at the Susquehanna nuclear plant in Pennsylvania.

The Growing Need for Data Centers and Renewable Energy

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Optimal Transformer Efficiency Using Weighted Average

In order to improve the efficiency of electrical distribution in commercial buildings, the US Department of Energy (DOE) introduced regulations with more stringent minimums on transformer efficiencies in January 2016. This was covered under the Code of Federal Regulations 10 CFR Part 431.192 and...

Digital Twins for Substations: Bridging the Physical and Digital Worlds

In the rapidly evolving landscape of power grid management, digital twin technology is emerging as a game-changer for substations. By creating virtual replicas of physical assets, digital twins bridge the gap between the physical and digital worlds, enabling enhanced operational efficiency and...


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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