It’s now seven months since the SCADA outage on Sunday 24th January 2021 – and we’re finally able to complete and publish this (quite long) article exploring some of the implications for units on the LHS of the ‘Q>>NIL_CLWU_RGLC’ constraint equation
The price has spiked in South Australia this evening (Fri 12th March 2021). Here’s Part 1…
Following a presentation to the EESA in September, Dr Robert May and Ashley Nicholls from SA Water have written a case study detailing the sophisticated energy management system that they have developed over the past 7 years.
On 25th November, guest author Allan O’Neil examined the ‘X5 Constraint’. Two weeks of operation have passed, so now Allan reviews some of what’s happened.
Given the great interest in the new ‘X5 constraint’, guest author, Allan O’Neil, has invested some time to pick the new constraint equation to understand (and then explain) what it is, how likely it will be to bind, and who is likely to be affected.
In part 4 of this expanding Case Study of the unexpected price spike on Tuesday 13th Oct, linked to a large & sudden drop in output across 10 solar farms, we take a quick look at what happened at most of the QLD generators through this 10:00 trading period.
In part 3 of this expanding Case Study of the unexpected price spike on Tuesday 13th Oct, linked to a large & sudden drop in output across 10 solar farms, we dig deeper to explore… including wondering whether it would have been expected in advance.
Based on some preliminary analysis of the Powerlink’s ‘Qdata’ set (available in ez2view) we present our current hypothesis as to the sequence of the events yesterday in the QLD region, where 600MW of solar generation was lost, causing the price to spike to MPC.
This 20th Case Study (the other side of the weekend to the 19th Case Study) in the series investigates one dispatch interval showing extreme Aggregate Under-Performance across all Semi-Scheduled units on Monday 8th April 2019.
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.
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!
Some quick notes today, to document high-level data (to be explored later) relating to some significantly depressed solar harvest data today due to the widespread cloud/wind event.
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).