A Quick Look at Dispatch Error for Each Individual Wind Unit (at 03:05 on Thursday 2nd April 2026)

Key Takeaways

• 84 semi‑scheduled wind units analyzed at 03:05
• Most units show balanced dispatch error, low cap impact
• Healthy regional prices reduced semi‑dispatch cap incidents
• Macarthur Wind Farm exhibits continuous under‑performance
• Part 6 will focus on Macarthur’s detailed investigation

Summary

Part 5 of Paul McArdle’s series analyses dispatch error for 84 semi‑scheduled wind farm units at 03:05 on 2 April 2026. The chart shows most units maintaining balanced dispatch error thanks to healthy regional electricity prices, which limited the semi‑dispatch cap’s effect on frequency. In contrast, Macarthur Wind Farm displays a pronounced, continuous under‑performance, flagging it for deeper scrutiny in Part 6. The piece links wind dispatch accuracy to overall grid stability during the Kogan Creek incident earlier that day.

Pulse Analysis

Understanding dispatch error is essential for grid operators because it measures the gap between scheduled and actual generation. In Australia’s National Electricity Market, wind farms—especially semi‑scheduled units—must adhere to dispatch instructions to maintain frequency stability. When prices are robust across regions, as they were on 2 April 2026, the semi‑dispatch cap—a mechanism that limits output during scarcity—activates less frequently, allowing wind generators to follow schedules more closely and reducing the risk of frequency excursions.

The recent analysis of 84 wind units reveals that the majority performed within expected parameters, indicating that market conditions and system controls effectively curbed large deviations. This balance is crucial after the early‑morning Kogan Creek trip, which threatened to depress system frequency. By keeping wind dispatch error low, the market helped absorb the sudden loss of coal generation without exacerbating frequency decline, showcasing the growing reliability contribution of renewable assets in a mixed‑generation grid.

However, the outlier—Macarthur Wind Farm—demonstrates a persistent under‑performance that could signal equipment issues, forecasting errors, or local grid constraints. Persistent under‑dispatch not only reduces revenue for the plant but also erodes the collective buffer that renewables provide during emergencies. Identifying and addressing such anomalies in Part 6 will be vital for maintaining confidence in wind’s role as a dependable frequency support resource, especially as Australia pushes toward higher renewable penetration and tighter market dynamics.