Congestion

Congestion represents situations where network equipment is operating at or near its limits. Modelling congestion explicitly allows the dataset to highlight where capacity is constrained and how such constraints propagate through the grid.

Core entities

  • Contingency: represents a condition or event that may lead to congestion, such as equipment outage or high demand.

  • ContingencyEquipment: links a contingency to specific items of equipment.

  • PowerTransformer: equipment that may be subject to congestion when associated with a contingency.

Modelling choices

  • ContingencyEquipment is used to associate a Contingency with a PowerTransformer, explicitly marking transformers under congestion.

  • This association allows data consumers to trace where congestion is present in the grid.

  • Congestion cascades through the network: once a transformer is marked as congested, the effect can be followed through the connected topology to understand its impact on zones and demand areas.

  • Representing congestion in this way supports planning and investment decisions, by making it possible to identify which parts of the grid require reinforcement or expansion.