This is the 10th Case Study in a series working through 98 discrete dispatch intervals of extreme Aggregate Raw Off-Target for Semi-Scheduled events. This Case Study looks at only 1 of 5 occasions of extreme collective OVER-performance.
This 9th case study in this series advances us into October 2017, where we see another example of an extreme outcome for collective under-performance. Most notably this happens across 5 Wind Farms (with one unit completely tripping).
This 8th case study in this series presents tabular results for all Semi-Scheduled DUIDs which were operational at the time of the SA System Black event.
This 7th case study in a series takes a look at 1 of 3 dispatch intervals during 2016 that saw extreme under-performance (in aggregate) across all Semi-Scheduled plant.
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).
For the 5th Case Study in this series (looking at individual outcomes of extremes in aggregate Raw Off-Target performance across all Semi-Scheduled plant) we look at an even rarer time when the aggregate discrepancy was above 400MW. This time collective 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.
Third case study today – and last one looking back at 2013. This one is a bit more complex than the first two.
Like was the case on 4th July 2013, the cause of this large Aggregate Raw Off-Target result (across all Semi-Scheduled Generators) was a single unit trip.
Does not take long to see why this particular dispatch interval was one of the few dispatch intervals (before 2019!) flagged in our top-down analysis of aggregate Raw Off-Target across all Semi-Scheduled units in the NEM….
Following on from Friday’s article (which considered the AER Issues Paper) this article delves into more detail of those extremes of ‘Aggregate Raw Off-Target’ across all Semi-Scheduled units that have been recorded over the past 10 years. There’s a clear clustering of cases in 2019 – what does it mean?
Prompted by the recent AER Issues Paper (submissions on that due today – Friday 24th July) but also aware that I’ve not yet published some broader thoughts in response to the ESB’s requests for input into their Discussion Paper on the Two Sided Market concept, I’ve posted some further thoughts. These have been informed by a longitudinal analysis of Aggregate ‘Raw Off-target’ values across all Semi-Scheduled plant.
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.
This is the 2nd of 4 Case Studies to follow on from Tuesday’s 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 coal units over-performed compared to dispatch targets.
Following on from Tuesday’s main article (summarising results across 105,120 dispatch intervals through 2019 for ‘all Coal’ and ‘all Wind’ groupings), this is the first of 4 x Case Studies that look at each of the extremes in outcome. This one is the dispatch interval featuring the greatest over-performance, collectively, across all coal units through 2019.
Recent invitations (from COAG Energy Council and AEMO) prompt some further analysis of the data set assembled for the GSD2019 in order to understand more about one of the challenges in balancing Supply and Demand in the NEM 2.0 world.
Using the (hot off the press) Generator Statistical Digest 2019, we take a look across all 304 DUIDs to see how they performed through calendar 2019 in terms of large excesses in ‘Raw Off-Target’ in both directions. These results suggests implications for the future…
Our second Case Study in a recent series, aimed to help us explore ways to continue the pushing the development of ez2view forward, but also shared with readers here on WattClarity. This time about Daydream Solar Farm on Tuesday 3rd September 2019.
Thursday 10th October 2019 presented another day of many negative price events in the QLD region. In this Case Study (prepared for dual purposes) we look at how one particular solar farm operated through this period – Ross River Solar Farm.
A quick article highlighting how the trend in aggregate number of unit starts, across the whole of the NEM, highlights the scale of one of the core underlying changes (and challenges) facing us in the NEM’s energy transition.