Also worth noting in the same bundle of analysis is Friday 20th January 2023, which looked as follows (in terms of Aggregate Raw Off-Target across Semi-Scheduled units:
We see that, from around the time the sun rose on the day the vast majority of dispatch intervals feature collective under-performance. But this flips from around 15:25 with a bunch of instances of over-performance seen together, with the largest being AggROT = -497MW at 16:25 on the day.
This is another event that might be further explored in subsequent extensions to this Case Study.
Paul was one of the founders of Global-Roam in February 2000. He is currently the CEO of the company and the principal author of WattClarity. Writing for WattClarity has become a natural extension of his work in understanding the electricity market, enabling him to lead the team in developing better software for clients.
Before co-founding the company, Paul worked as a Mechanical Engineer for the Queensland Electricity Commission in the early 1990s. He also gained international experience in Japan, the United States, Canada, the UK, and Argentina as part of his ES Cornwall Memorial Scholarship.
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 …
Guest author, Allan O’Neil, takes us several steps further in understanding the events in Victoria on Tuesday 13th February 2024 – especially with respect to VRE (wind and solar) production.
It is indispensable to understand how the semi-scheduled unit availability gets produced to optimally manage the critical inputs and comprehend dispatch outcomes. This article explains the key inputs and processes, focusing on the dispatch timeframe.
Today (Tue 23rd May) is the go-live date for AEMO’s EMMS v5.2 – which will contain new data for some market enhancements. Here’s a quick look at where this first change will appear in ez2view, highlighting some considerations for Semi-Scheduled units and self-forecasting.
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