Electricity Forum Intelligent Power Today Magazine Arc Flash Clothing

Transformer Software & Technologies




FERC Complaint Targets Duke, PJM Transmission Planning

A coalition of large energy consumers and ratepayer advocates has filed a complaint with the Federal Energy Regulatory Commission (FERC), urging the agency to prohibit transmission owners from independently planning "local" transmission projects exceeding 100 kilovolts (kV). The coalition argues...

Transformer Software & Technologies

Navigating the Transformer Supply Crunch: Strategies for Utilities Amidst Global Shortages

The Growing Transformer Supply Crisis

The global transformer supply chain is facing unprecedented challenges, with utilities worldwide struggling to procure essential equipment due to material shortages, manufacturing delays, and logistical constraints. Transformers are the backbone of electrical transmission and distribution networks, and their scarcity poses significant risks to grid reliability, infrastructure expansion, and system resilience. As demand continues to outpace supply, utilities must adopt strategic approaches to mitigate risks, ensure the timely acquisition of transformers,...

Related Articles


FERC Complaint Targets Duke, PJM Transmission Planning

A coalition of large energy consumers and ratepayer advocates has filed a complaint with the Federal Energy Regulatory Commission (FERC), urging the agency to prohibit transmission owners from independently planning "local" transmission projects exceeding 100 kilovolts (kV). The coalition argues...

magazine_sep_oct_2023_article_2

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...

Page 1 of 5