This 19th Case Study in the series investigates one dispatch interval showing extreme Aggregate Under-Performance across all Semi-Scheduled units on Friday 5th April 2019.
This 18th Case Study in the series investigates two separate dispatch intervals showing extreme collective under-performance across all Semi-Scheduled units on Monday 25th March 2019.
A quick look at this dispatch interval – as the 17th Case Study in the series looking at extreme results for Aggregate Raw Off-Target for all Semi-Scheduled DUIDs.
In a sneak preview of part of next Thursday’s Clean Energy Council webinar, Marcelle compares the spot revenue performance of wind farms across the NEM.
This 16th Case Study in a series covers the first ‘extreme event’ into 2019 where there was an aggregate under-performance (compared to Target) across all Semi-Scheduled plant totaling greater than 300MW.
Prompted, in part, by yesterday’s record low for Victorian demand, today I have finished off my earlier review of what happened on Saturday 29th August (8 days earlier) when demand levels also dropped in VIC, and right across the NEM.
Out of curiosity, and driven by questions received from several people, I’ve invested a bit of time today to delve further into the record low level of Scheduled Demand seen in the Victorian region (and perhaps also across the whole of the NEM) on Saturday 29th August 2020.
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 is the 12th Case Study in this series (looking at each of 98 extreme incidents). This one is simpler than the 11th Case Study!
This is the 11th Case Study in a series (looking at extreme outcomes of Aggregate Raw Off-Target for Semi-Sched units). We’ve rolled into 2018, now and (coincidence?) this one is much more complex than the first 10 from the earlier years …
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 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).
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.
Marcelle digs into the data to find out what the real issues are in the AER’s proposed rule change for semi-scheduled generators.