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More data, increased transparency


Modern electrical grid components deliver, process, and analyze data

One consequence of digitalizing power grids is the steadily growing volume of captured data. These vast quantities of data harbor valuable information that describes the state of the grid, enables advanced computational analysis of changes, and can improve the performance and extend the service life of assets. The hardware and software from Siemens needed for this fulfills all the requirements.

Transparency in the grid

Efficient ways to increase the performance of power grids

Deep insights into what is happening in the grids enable targeted, proactive actions to ensure optimal power quality at all times. 

Thoroughly analyzed grid data enable you to make well-founded decisions. This enhances performance and extends the service life of assets, while also simplifying processes. By optimizing maintenance deployments and increasing grid availability, you can also improve the cost-effectiveness of your grid.

Find out more in detail under the following topics

Seamlessly integrate IT and OT

A large part of project costs is caused during the engineering process that can be reduced by adhering to worldwide standards.

Analyses of past projects confirm that integrating IT and OT into the engineering process can save time and money. Much of the effort involved in such system integration was attributed to converting between different protocols. High costs were also incurred when connecting differing systems in the control centers and other systems such as energy resource planning. Consequently, power providers and suppliers worldwide have developed common standards in order to reduce costs and effort. This enhances the security of investments.


Benefits of integrating IT and OT

  • Reduce engineering costs by avoiding data conversion between protocols and interfaces
  • Get rid of gateways to convert between different protocols
  • Secure investment using long-lasting standards and open protocols

Validation of asset connectivity

Validation of a connectivity model based on secondary data.

The volume of data collected from various locations on grids is steadily growing, particularly due to the expanding feed-in of power from renewable energy sources. As a result, for every distribution network a data model exists which lists all assets and their connections to other such assets. Based on algorithms, a rather precise tree model of the grid can be calculated without knowing what assets it contains and how these are linked to one another. 


This method is important if, for example, connection errors have to be detected during a generational change in the grid control system.



Benefits for grid operators

  • Prevent connection errors when migrating large amounts of data during, for example, a generational change of the control center
  • Easy localization of connection errors
  • Increased efficiency and cost savings during comprehensive changes in the grid infrastructure

Controlling and balancing distributed generation efficiently

Imbalances between generation and load caused by excess supply or lack of generated power need to be managed reliably and cost-efficiently.

Coordinated scheduling and dispatch of distributed energy resources, including energy storage, helps tackle overload situations and voltage problems, and at least balance generation and load. The most efficient manner is to gain access to the distributed energy resources to balance the infeed in combination with the load via a control system. Many industrial processes allow not only a shutdown for load reduction. They also facilitate increased consumption during a high power production period as well. These actions can avoid investments into the grid expansion.


Benefits of balancing generation and load

  • Avoiding shutdowns
  • Compliance with rules and regulations
  • Stable grid
  • Reduce investments into the grid expansion

Products for controlling distributed power producers