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Efficient
identification of
grid bottlenecks
in accordance with Section 14a of the German Energy Industry Act
The new VDE FNN position paper on Section 14a of the German Energy Industry Act (EnWG) provides network operators with guidelines for identifying network bottlenecks efficiently and in a legally compliant manner. Implementation is based on two standardized methods:
1. Indirect determination of a bottleneck by calculation
This method is primarily aimed at network areas without direct measurement data. With the help of a network model, calculations and measurements from local network stations, and additional data from smart metering systems (TAF 10), network bottlenecks can also be identified in areas that are not measured.
- In radial networks, data from at least 15–70% of the smart metering systems is required to meet the accuracy and reliability requirements.
- The exact minimum number of measuring points required depends on whether measured values from outputs or transformers in the local network station are available.
2. Identification of a bottleneck through direct measurement
Where measurement data accurate to the minute is already available (e.g., outgoing or transformer measurements), bottlenecks can be identified directly—without complex calculations or additional measurements at iMsys.
With outgoing measurements by SMIGHT Grid2, you are well prepared:
- In local network stations with potential bottlenecks, minute-by-minute outgoing measurements enable direct live detection of the vast majority of critical overloads – without the need for a calculation model.
- If, in a later step, detection is to be extended to each individual node in the string or network area, the existing outgoing measurements significantly reduce the number of smart metering systems required.
SMIGHT IQ Copilot: Intelligent congestion detection and efficient network management
Learn more about how the SMIGHT IQ Copilot reliably detects bottlenecks based on output measurements and implements network-oriented dimming processes.
