The new generation of digitally enabled edge transmission products and systems opens new possibilities for grid operators to benefit from data driven applications by deploying them within the local substation network.
The shift to an increasingly decarbonised energy landscape poses tremendous challenges to grid operators that require a new way of managing the energy system.
The digitalisation of power transmission assets in the substation, the heart of any electrical power distribution system, plays an important role to manage the increased feed-ins of renewable energy and the exponential increase of complexity.
While most digital solutions for substation assets rely solely on equipment with cloud connectivity, edge-enabled transmission products like Edgegear and Edgeformer offer new possibilities to connect equipment directly within the substation without having to forego the benefits of cloud-based solutions like app-based data analytics. Edge computing technology enables faster computing capabilities for quicker decision-making as well as data storage and processing onsite.
With edge computing the data is kept offline in the substation without compromising a seamless, secure and easy integration into the existing customer IT-landscape. The result is a highly cyber secure system. Siemens Energy’s edge-enabled transformers and switchgear will come with app-based data analytics and asset management.
Beatrix Natter, Executive Vice President Transmission at Siemens Energy, said: “The Internet of Energy offers tremendous opportunities to meet today’s challenges in an increasingly complex energy landscape. In 2018, we initiated a real paradigm shift in the industry with the launch of Sensformer, the world’s first digital transformer. With the launch of our edge products we can proudly present another technological breakthrough that will facilitate highly efficient transmission operations.”
With Edgeformer and Edgegear every transmission system operator will have access to value added applications, enabling them to respond faster to changes in the system and increase asset transparency, productivity, and reliability.
Edgegear, for example, provides operators with real-time partial discharge analyses as well as gas and oil leakage prediction supported by artificial intelligence and machine learning allowing grid operators to manage their networks more effectively.
Originally published at World pipelines