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Transformer Software & Technologies




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...

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 that such local planning, lacking independent oversight, leads to inefficient and costly transmission development, resulting in unjust and unreasonable rates for consumers.

Background

Transmission planning involves determining the necessary infrastructure to transport electricity from generation...

Related Articles


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...

Mirus International ULLTRA(TM) graph

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...

Purchasing Reconditioned Electrical Equipment

Debunking the myths about tested and refurbished equipment BY RISHI SUDAN, RS Electrical Supply Extending the lifecycle of capital equipment such as 15-kilovolt circuit breakers, switchgear, and transformers through testing and reconditioning saves time and money by cutting down on new equipment...


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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