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 the article posted on the day, here’s a focused look at what can be seen in (‘next day’ public) data for Yarranlea Solar Farm on Friday 1st May 2020 – a day that saw negative prices through many half-hour trading periods in Queensland, and Large Solar farms cycling as a result.
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.
There are a number of reasons why we’re completing the analysis we are sharing via WattClarity – here are two big ones.
Third case study in a growing series – on this occasion looking at the (extreme – and possibly excessive?) lengths taken by Tailem Bend Solar Farm to avoid being dispatched at times of negative spot prices in South Australia. This analysis is specifically focused on Wednesday 6th November 2019.
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.
One example of a thermal unit failing to start. We will endeavour to explore how often this happens as part of the Generator Report Card 2018.
A detailed look at two specific trading periods in the day (Tuesday 24th July 2018) that saw negative dispatch prices occur at the start of trading periods – hence provided a case study for how existing Semi-Scheduled plant respond (especially in combination with transmission constraints and the Semi-Dispatch Cap).