In Part 2 of this Case Study, we look at those 15 x Semi-Scheduled units highlighted with large deviations (mostly under-performance) at 17:05 on 27th October 2022 in order to understand more.
This 15th Case Study is longer than the earlier 14 as it deals with 4 discrete instances of extreme level of collective under-performance, and 1 instance of over-performance, all within a 4-hour timeframe on the same day. A day which appears to have had widespread weather activity affecting the output of BOTH Wind and Solar across 3 Regions. A challenging day!
This is the 13th Case Study in this series (looking at each of 98 extreme incidents). We’re looking at an event on 15th October 2018 that seems to heavily feature high-wind cut-out as the primary driver for collective wind farm under-performance.
This is the 13th Case Study in this series (looking at each of 98 extreme incidents). Note I have skipped 2 events earlier in 2018 and will come back to publish case studies of them – this one covers the last event in 2018.
This 6th case study in a series takes a look at only 1 of 5 Dispatch Intervals featuring over-performance in a total of 98 that saw extreme Aggregate Raw Off-Target performance across all Semi-Scheduled plant (rare over-performance and more common under-performance).
After publishing three Case Studies on Saturday, this 4th Case Study in a long series is much more complex – with 8 different Semi-Scheduled Wind Farm units across VIC and SA exhibiting significant deviations from Target. This Case study looks at April 2016, which is also 3 years after the first 3 case studies.
This is the 3rd of 4 Case Studies to follow on from the main article (summarising results across 105,120 dispatch intervals through 2019 for ‘all Coal’ and ‘all Wind’ groupings). In this case, let’s look at the ‘worst’ case, in aggregate, where wind units under-performed compared to dispatch targets.