Problem Discription

Due to the increasing changes in electrical grids, load flow information is becoming more and more important. For you as a distribution network operator, increasingly also in combination with power quality data. As a distribution network operator, you are increasingly complaining that the relevant information at grid level 7 is either not available at all or is inadequate. Without a proper smart grid solution, this would be equivalent to “flying blind.” Intelligent metering systems (smart meters) won’t help you with this either. This is because, among other things, these are only suitable to a limited extent (e.g. due to data protection rules, insufficient measurement performance for network management, etc.).

The idea: A modular smart grid solution incorporating the power quality

For you as a distribution network operator, the result is that on network level 7 the load flows can be controlled and, in addition, the network quality limits can be efficiently exploited. As a result, no expensive grid expansion should be required in order to avoid the enormous costs associated with it. For you as a network operator, this also promotes the issue of general resource conservation (e.g., dispensing with additional quantities of copper).

The basis: A scalable measurement system

Smart grid solution with scalable measuring system LINAX PQ5000

We propose certified power quality detection and power analysis up to 32 channels in the sub-distribution. Signal processing is implemented on the LINAX PQ5000 series measuring device. There, the respective current measured values of the so-called current link modules are processed. By means of the link technology, the individual Current Links and their sensors (Rogowski) are networked in a scalable manner by means of signal loops via coaxial lines. This reduces the installation effort to an absolute minimum and ensures proper cable routing. In addition, this measurement system for determining power quality is extremely cost-efficient.

Interested? Please klick here