Smart Transformers and the Internet of Things (IoT): The Power Revolution from Passive Operation to Full Lifecycle Perception

The ‘information black box’ of traditional transformers is being broken

In traditional power systems, transformatorer have long played the role of “silent devices” – as long as they do not trip or emit smoke, they are assumed to operate safely. However, with the increasing proportion of new energy grid connection, intensified load fluctuations, and increased complexity of distribution systems, this “post maintenance, experience based operation and maintenance” model is exposing huge risks.

In this context, the integration of Smart Transformer and Internet of Things (IoT) technology is fundamentally changing the operation, maintenance, and management of transformers, upgrading them from passive devices to intelligent nodes that are perceptible, analyzable, and decidable.

1.What is an Smart Transformer? Not just ‘adding sensors’

Smart Transformers are not simply installing thermometers or meters on traditional transformers, but rather a system engineering that integrates the sensing layer, communication layer, platform layer, and application layer. The core goal is to achieve digital management of the transformer’s full state, full cycle, and full scenario.

Its typical features include:

• Multi parameter online monitoring: temperature, load, current, voltage, gas in oil, partial discharge, vibration, humidity, etc
• Edge computing capability: perform preliminary data analysis locally to reduce communication burden
• Remote communication capability: through 4G/5G, NB IoT, Ethernet or fiber optic access systems
• Data platform linkage: seamless integration with SCADA, EMS, DMS or cloud platforms

This has transformed the transformer from a ‘device’ to a data source and decision-making node in the power grid.

2.Core application scenarios of IoT in transformers

2.1 Real time monitoring of operating status

By deploying temperature sensors, current transformers, and voltage acquisition modules, the system can real-time monitor:

• Temperature rise change of winding
• Load rate and overload trend
• Three phase imbalance situation

These data provide a quantitative basis for determining whether the transformer is in the “healthy operating range”.

2.2 Hotspot and Insulation Risk Warning

In oil immersed transformers, the hot spot temperature is highly correlated with the aging of oil paper insulation.
IoT systems can be combined with:

• oil temperature
• ambient temperature
• load curve

By calculating the hot spot temperature of the winding through the model, the risk of insulation aging can be alerted in advance to avoid sudden failures.

2.3 Partial discharge and early defect identification

With the help of ultrasound, UHF, or high-frequency current sensing technology, IoT systems can continuously monitor partial discharge signals and early identify the following issues:

• Insulation crack
• Moisture intrusion
• structure looseness

Such defects are often difficult to detect in traditional inspections, but they are the source of major accidents.

3.The value enhancement of Smart Transformers to the power grid system

3.1 Moving from “Regular Maintenance” to “Condition Maintenance”

Traditional mode:

Annual or monthly maintenance, but without knowing the true condition of the equipment

Intelligent mode:

Determine whether maintenance is required based on real-time data

The result is:

The frequency of maintenance has decreased

Improve the utilization rate of operation and maintenance resources

Significant reduction in labor costs

3.2 Improving Power Supply Reliability and System Resilience

Through early warning and risk classification, transformer failures are no longer a “sudden event”, but a predictable and manageable process, particularly critical for industrial users, data centers, and new energy power stations.

3.3 Provide underlying data for digital grids and virtual power plants

The data generated by Smart Transformers can further support:

• load forecasting
• Distributed energy dispatch
• Digital twin modeling of power grid

4.Future oriented: Smart Transformers are the infrastructure of the “new power system”

Under the global trend of promoting carbon neutrality and digitalization of power systems, transformers are upgrading from “power equipment” to “energy information nodes”.
Whoever holds the data holds the initiative in the system.

For manufacturers, this is an opportunity for product upgrades;
For the power grid and property owners, this is the key path to reducing the full lifecycle cost.

Luoyang Datang Energy Technology Co., Ltd. er en høyteknologisk bedrift som integrerer R&D, produksjon og levering av kraftutstyr som transformatorer, nye energikomponenter, distribusjonsskap og omformere. Med teknologisk innovasjon som kjernen, vi fokuserer på å skape kraftløsninger med høy pålitelighet og høy ytelse for å betjene globale kunder. Med et strengt kvalitetskontrollsystem og internasjonal standardsertifisering, vi fortsetter å produsere utmerkede produkter og gjør det mulig for kunder å bygge trygge og stabile kraftsystemer.