Digitalization of transmission products

Digitalization of transmission products

Special Edition - Substations

Digitalization of transmission products


The energy system is changing rapidly

The integration of an increasing amount of renewable energy poses major challenges on grid operators. The higher number of power producers and the intermittent energy flow raise the complexity of grid management significantly. At the same time the expectation towards grid operators regarding profit generation, health, safety, and environmental protection are increasing. How can the conservative industry meet these challenges? And how can equipment suppliers support grid operators?

The digitalization of transmission products is a field that Siemens has been contributing to for several years now, most noticeably with Sensformer ® technology, the comprehensive digital transformer portfolio launched in 2018. Meanwhile the complete transmission products portfolio was updated under the premise of the digitalization imperative, including sales of other transmission products with Sensgear ® technology from April 2019 onwards.

Digitalization is a chance and an enabler

Digitalization offers huge opportunities to optimize the whole energy system and makes it more compact, more efficient, smarter and faster by putting intelligence into the product. Nevertheless, Siemens builds its new products on a proven foundation. The physics of the products, as well as performance and quality, stay the same. Siemens adds a cybersecure digital layer to the products to make them connective for grid operators.

A well thought out technology roadmap shows a very easy entry into digitalization without any additional risk for customers. Sensformer ® and Sensgear ® are very user-friendly and deliver technical key data and understandable information at very little or even no extra costs. The information is available anywhere at any time and uploaded into the cloud in what is almost real-time. The grid operator remains owner of the data, which is generated by his assets.

The analysis of the collected data in combination with historical malfunction data provides the opportunity to predict the lifetime of products and calculate effects of utilization on lifetime in advance. Grid management will be more flexible and more efficient than ever before.