The Iberian Blackout

Module 5: Complex Networks

Reading
  • Compulsory: Motter and Lai (2002).
  • Recommended: Schäfer et al. (2018).

This lab studies cascading failures with a network model. It starts from a real event so you can see, from the start, how much a simple model leaves out.

What happened on 28 April 2025

The facts below come from the two reports of the Expert Panel set up by ENTSO-E, the European association of transmission system operators: the factual report of 3 October 2025 (ENTSO-E ICS Investigation Expert Panel 2025) and the final report of 20 March 2026 (ENTSO-E ICS Investigation Expert Panel 2026). All times are CEST.

The reports contain a root cause tree and a long list of recommendations. Read the management summary of the final report if you want the full picture. This page does not try to summarize the causes beyond the points above.

What a network model can and cannot say

The word “cascade” appears in the official conclusion, and that is the only link to this lab. The cascade on 28 April involved voltage control, reactive power, oscillations, protection settings and the behaviour of generating units (ENTSO-E ICS Investigation Expert Panel 2026). None of these quantities exists in the model you will build.

The Motter-Lai model (Motter and Lai 2002) is an intentionally simplified cascade model:

  • the grid is a graph with no electrical parameters;
  • the “load” of a node is the number of shortest paths through it;
  • a node fails when its load exceeds a fixed capacity;
  • there is no time, no voltage, no frequency and no control action.

It is not an explanation of the Iberian blackout. It is a minimal model that isolates one mechanism: when a node fails, its load moves to other nodes, and some of those may fail in turn. Use it to ask how network topology and spare capacity change the size of a cascade. Models that include the power flow dynamics exist, for example Schäfer et al. (2018); the Swing Equation page gives a first look.

Prediction

Exercise

Before you open the next page, write down your answers:

  1. A network has a few hubs that carry most of the shortest paths. Do you expect it to be more fragile when a random node fails or when its most loaded node fails?
  2. Every node gets a capacity 10% above its initial load. Do you expect a small or a large cascade? What about 100%?

You will test both predictions in Cascade Simulation.

  1. When its most loaded node fails. A random node is almost always a node with low load, so little load moves. The most loaded hub sends a large share of all shortest paths to other nodes at once.
  2. With a 10% margin a large cascade is likely, at least when the trigger is a highly loaded node. With a 100% margin most triggers cause only small cascades, but on a network with strong hubs the most loaded node can still do damage. The figure in Cascade Simulation shows both effects.

References

ENTSO-E ICS Investigation Expert Panel. 2025. “Grid Incident in Spain and Portugal on 28 April 2025: ICS Investigation Expert Panel Factual Report.” Brussels: ENTSO-E. https://www.entsoe.eu/publications/blackout/28-april-2025-iberian-blackout/.
———. 2026. “Grid Incident in Spain and Portugal on 28 April 2025: ICS Investigation Expert Panel Final Report.” Brussels: ENTSO-E. https://www.entsoe.eu/publications/blackout/28-april-2025-iberian-blackout/.
Motter, Adilson E., and Ying-Cheng Lai. 2002. “Cascade-Based Attacks on Complex Networks.” Physical Review E 66 (6): 065102. https://doi.org/10.1103/PhysRevE.66.065102.
Schäfer, Benjamin, Dirk Witthaut, Marc Timme, and Vito Latora. 2018. “Dynamically Induced Cascading Failures in Power Grids.” Nature Communications 9: 1975. https://doi.org/10.1038/s41467-018-04287-5.