What is congestion management and why is it important now?

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Direct answer

Congestion management is the controlling, limiting or shifting of electricity demand or supply when the electricity grid has insufficient capacity. It is important now because companies increasingly face limited grid capacity, electrification and waiting times for heavier connections.

  • Use grid capacity smarter
  • Understand peaks and simultaneity
  • Make flexibility visible
  • Relevant for business parks and industry
Congestion management with peaks, grid capacity and flexibility

Grid reinforcement versus congestion management

Due to electrification, charging infrastructure, renewable generation and economic growth, the grid is becoming full in many places. Congestion management makes visible which flexibility is available and how capacity can be better used.

  • Congestion management is about smarter handling of scarce grid capacity.
  • Companies need insight into peaks, profiles and flexibility.
  • Measurement data is the basis for agreements, control and investment choices.

Approach

Traditional approach

Waiting for extra grid capacity.

Modern approach

Using current capacity more smartly.

Data

Traditional approach

Connection value and peak after the fact.

Modern approach

Profiles, peaks, simultaneity and flexibility.

Action

Traditional approach

Requesting individual expansion.

Modern approach

Spread, control, make agreements or deploy flexibility.

Why does this affect companies?

Companies want to electrify, install charging infrastructure or grow, but do not always get extra capacity immediately. Controlling existing capacity then becomes more important.

  • Limited connection capacity.
  • More charging infrastructure and electrical processes.
  • Local generation and feed-in.
  • Greater need for flexibility.

What role does software play?

Software makes visible when capacity is demanded and where flexibility is possible. Without data, congestion management remains mainly a technical conversation.

  • Analyse peak load.
  • Recognise simultaneity.
  • Create scenarios for spreading.
  • Set up alerts and reports.

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