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TOPIC 35 · IN-DEPTH TOPIC

Scenario design, stress testing and uncertainty

Build decision scenarios with explicit uncertainty.

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Build coherent stress scenarios

A scenario is an internally consistent set of conditions; a sensitivity changes a selected assumption. Tail events can combine correlated drivers such as heat, outages, high demand and low imports. Do not assign probabilities without a defensible basis.

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01Separate a sensitivity from a scenario and a forecast

A sensitivity changes one input while keeping other assumptions explicit. A scenario changes a coherent group of conditions. A forecast estimates an outcome using a stated method and evidence. A stress test probes vulnerability; without calibrated probabilities it does not tell you the likelihood of the loss.

Use the Topic 31 table as a base case, with 60 MWh and A$4,750 energy-only cost. Increase only the 09:20 price from A$200 to A$300/MWh. Its 10 MWh quantity means the cost rises by A$1,000, to A$5,750. This is a fixed-demand sensitivity, not a market-price prediction or an optimal operating strategy.

Explain why the stress is useful: the same price movement has more impact when unhedged volume is larger. The exercise excludes contracts and tariffs; it cannot directly estimate a retailer's profit, a generator's revenue or a data centre's total bill. Maintain separate ledgers when expanding the analysis.

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Supporting diagrams

Price and demand interact

Replace the affected interval, then reconcile the whole table.

  1. 01 · BaseA$4,750

    09:20: 10 MWh × A$200/MWh

  2. 02 · Price onlyA$5,750

    09:20: 10 MWh × A$300/MWh

  3. 03 · Joint stressA$6,350

    09:20: 12 MWh × A$300/MWh

Synthetic energy-only costs with other intervals fixed. No probabilities, contracts, losses or complete customer bill are represented.