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Case Study #187 — 300 Software Failure Case Studies

South Australia statewide blackout

A severe storm triggered a cascading failure that left the entire state of South Australia without power for hours, affecting around 850,000 customers.

2016-09-28
When it happened
Energy / Utilities
Sector
#187 of 300
Ranked by documented impact
01 — What Happened

The damage was public. The root cause was preventable.

A severe storm triggered a cascading failure that left the entire state of South Australia without power for hours, affecting around 850,000 customers.

Energy
Sector affected
2016-09-28
Date of the event
#187
Rank in the 300 Software Failure Case Studies
1
Distinct root-cause clause identified below
02 — The Root Cause

What the software actually got wrong

While storm damage to transmission lines began the disturbance, the grid operator's investigation found that several wind farms' turbine control software was configured with overly conservative voltage-disturbance settings that caused them to disconnect automatically during multiple brief voltage dips, unexpectedly removing large amounts of generation and worsening the cascading failure.

01Root Cause

While storm damage to transmission lines began the disturbance,...

What Happened

While storm damage to transmission lines began the disturbance, the grid operator's investigation found that several wind farms' turbine control software was configured with overly conservative voltage-disturbance settings that caused them to disconnect automatically during multiple brief voltage dips, unexpectedly removing large amounts of generation and worsening the cascading failure.

How Requs AI Catches This

Requs AI Edge Case flags this exact pattern at the requirements and architecture stage — before a single line of code implementing it exists — so the assumption behind it gets challenged while it is still cheap to fix.

03 — How This Gets Caught Before It Happens

Beyond code coverage and "shall" testing

Root causes like this one rarely show up in code coverage or requirements-compliance testing, because nobody wrote a requirement anticipating the specific edge case that broke. Requs AI Edge Case and Requs AI Software FMEA are built to surface exactly this class of overlooked failure mode — before the software is written.

Requs AI Edge Case

Surfaces this before code exists

Identifies edge cases like this one at requirements and architecture time, using the Common Defect Enumeration to catalog failure patterns seen across hundreds of real-world software failures — including this one.

Requs AI Software FMEA

Connects the failure mode to the hazard

Traces this class of root cause directly to the system-level hazard it can produce, so a defect pattern like this one gets flagged during design review instead of after it ships.

Find the overlooked root causes before they ship.

Schedule a demonstration, or explore how Requs AI Edge Case and Software FMEA use the Common Defect Enumeration.