Intraday Revenues
The dispatch model that uses forecast intraday prices to generate a battery intraday revenue forecast
Modo produces an intraday price forecast, as well as a day-ahead price forecast.
We provide a forecast of revenues from re-optimising a battery in intraday markets, given a day-ahead position which considers day-ahead wholesale pricing and ancillary service contracts. This is shown as a revenue line 'Intraday Revenues (£/MW)' in our downloadable curves.
It is new in our v3.3 release and replaces an intraday uplift that was previously used. It represents a more realistic view of intraday revenues.
This subsection describes how we optimise a battery against intraday prices to get intraday revenues, within our dispatch model. Find information on how we generated intraday prices here.
Modelling intraday battery dispatch
Once we have the forecast of the EPEX intraday continuous RPD HH price, we plug it into the dispatch model.
The intraday continuous market is continuous: it's an order book in which trades can be placed anything from ~18 hours out from delivery to 20 minutes beforehand (with most volume traded ~2 hours from delivery). In the real world, trading decisions made, say, 4 hours out will impact decisions 3, 2, or 1 hour out, with factors like liquidity an issue. It's often a very fluid picture. The reality is quite different to a 24-hour perfect foresight model.
To try and mimic continuous intraday trading, we perform multiple optimisations.
- First, we lock in the day-ahead position using the wholesale day-ahead price forecast and any ancillary contracts using the Dynamic Frequency Response price forecasts. These can introduce constraints on parameters like the battery's state of charge, which are respected in subsequent optimisations.
- This day-ahead position is then re-optimised in many steps across the delivery day. Multiple optimisations are run in increments of 2h, and the price signal for the rest of the day is adjusted to consider the intraday price for the first 2h of the new optimisation window.
The result is 13 optimisations for each 24-hour period of our forecast:
More information and daily profiles of the intraday optimisation can be found here.
Backtest of intraday battery revenues
As you can see here, the intraday market was less volatile in 2024 than in the previous 2 years. This means that in 2024, intraday prices were much closer to day-ahead prices than in 2022 - and so the potential revenue from re-optimising a battery in intraday markets is lower in 2024.
Intraday battery revenues are typically described as an 'uplift' on day-ahead revenues—i.e., how much more revenue can be generated by trading a battery intraday vs just looking at day-ahead markets. Forecast curves often use a revenue uplift for intraday trading (and this is how Modo previously modelled intraday revenues). However, given the change in the market seen in 2024, if uplifts are used to model intraday revenues based on data from 2022 or 2023, they could overestimate the revenue opportunity.
This graph shows how the revenue going from day-ahead only to day-ahead plus intraday has reduced in 2024. With the assumptions (stated here), for a 2h battery doing 2 cycles a day, we expect a 22% uplift in 2024 with real data, vs a modelled uplift of 19%. This compares to 35% in 2022 and 2023.
Updated 2 days ago