A case study, drawing heavily on various widgets in ez2view, looking at some large (and unexpected) oscillations in output at Darlington Point Solar Farm through a ~2 hour period on Thursday 29th August 2024.
Gate Closure #3 represents the cut-off time for solar and wind availability forecasts to be used in dispatch. Since 2019 the timings are reducing and narrowing.
Our GSD2023 was released just over 4 weeks ago. This is the second sequential article utilising the GSD2023 Data Extract to take a look across all the Semi-Scheduled units (i.e. Wind and Solar). In this case looking at use of Self-Forecasting, and revealing more questions …
This morning I was fortunate to listen into an ESIG Webinar with respect to their report ‘Weather Dataset Needs for Planning and Analyzing Modern Power Systems’
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.
AEMO is re-enabling the ‘MaxAvail’ figure in bids for Semi-Scheduled units. It will act as a limit on capacity available, feeding into the NEMDE dispatch process for the unit. We look at how Semi-Scheduled plant have currently been treating MaxAvail in the bid and share some insights.
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.
We delve deeper into dispatch availability self-forecasts and the assessment process to further enhance our understanding of this important aspect, testing sensitivity to gate closure times and requirements on minimum intervals.
In Part 3 of this Case Study, we look at the source of the Dispatch Interval Availability forecasts for these units at 17:05 on 27th October 2022 (i.e. Self-Forecast or something else, incl AWEFS/ASEFS).
This first excerpt from GenInsights Quarterly Update for Q4 2022 looks specifically at the trended level of adoption of self-forecasting for Semi-Scheduled Solar Farms in the NEM. This article on Monday 26th February 2023 precedes some changes AEMO might make on Tuesday 27th February 2023.
Today, more than 14 months after the publication of GenInsights21 we’re sharing Key Observation 15 of 22, relating to self-forecasting for Semi-Scheduled units.
Another article today presenting 12 hours of history of System Frequency (to ~14:00 on Friday 3rd February 2023) with a few questions added. Comments welcome!
A short article, to record the upgrade of the ASEFS and AWEFS forecasts for Semi-Scheduled (i.e. Wind and Large Solar) units.
On Thursday 17th March, Jonathon Dyson presented at the CEC Wind Industry Forum in Melbourne about the increasing role of auto-bidding and self-forecasting in the modern-day NEM. In this article, he shares some of the key points from that presentation.
Following from the release of GenInsights21, in this article we look at some of what that analytical publication can help us understand, in terms of how the changing market is impacting on the role that renewables will increasingly play in the NEM in the years to come.
In our development of GenInsights21, we’re exploring ways to also include some analysis of different types of stakeholders in the generation process. In this article we outline a couple (and seek your input).
As promised in the Intermittent Generation Forum late in 2020, the AEMO has released an important Handbook for operators of Semi-Scheduled (wind and solar) assets.
Following up to AEMO’s recent Intermittent Generator forum, Marcelle looks at the challenges for wind and solar farms in providing consistently good plant availability information to AEMO and the value of transparency of this data.