Skip to main content

Imbalance Costs

Updated over 2 months ago

Introducing – Imbalance Costs Data

This data set enables users to track and compare the costs associated with mismatches between day-ahead forecasted and realised renewable generation across different balancing zones and technologies. The imbalance costs are based on the renewable generation of the whole balancing zone and provide a historical trend for realised imbalance costs for a specific technology in the considered balancing zone.

What Are Imbalance Costs?

Renewable generators incur imbalance costs when the day-ahead forecasted renewable generation deviates from the realised generation levels, leading grid operators to take action to maintain system stability.

These actions can include activating reserve power, participating in short-term markets, or curtailing excess production.

Depending on the costs for the TSO to smooth out the net imbalance of all Balancing Responsible Parties (BRPs) in the system, an imbalance price is determined. Costs are passed on to generators via imbalance charges or reflected in grid fees and market prices.

The realised imbalance costs displayed in the Pexapark platform correspond to the raw costs of such deviations. Even though they do not correspond to the final balancing fees agreed within a balancing contract, they strongly influence these fees.

Why are Imbalance Costs Important?

Understanding imbalance costs is crucial for operational and commercial decision-making. These costs can significantly impact profitability, especially in merchant markets. Knowing how they vary across technologies, countries, or seasons can help in:

  • Understanding the trends of realised imbalance costs across different markets and technologies

  • Optimising forecasting of imbalance costs

  • Informing negotiation of balancing contract pricing and terms

Pexapark Imbalance Costs Data and How it Helps

Data / Feature

Use Case

Benefit

12 month rolling average absolute (EUR/MWh)

View the direct monetary cost of imbalances, averaged over a 12 month period

Supports evaluation of financial exposure

12 month rolling average ratio (% of Spot Price)

Understand imbalance costs as a percentage of the average day-ahead spot price for the same perio

Supports analysis of cross-market and cross-technology comparisons

Imbalance cost data filters

for onshore wind, offshore

wind, solar and pricing

markets

Compare imbalance costs across different markets and technologies

Identify which markets or technologies have the lowest volatility to support procurement and investment decisions

Export Function

Download data for further analysis

Integrate data into workflows, price and risk modelling for increased accuracy

How the Data Works

The methodology uses the following input data:

What’s Not Considered:

  • Intraday market optimisation

  • Intraday updated forecasts

  • Real-time dispatch actions

We update data every month after the end of the month.

The estimated realised imbalance costs are based on day-ahead forecast, production and imbalance price data from TSOs and day-ahead spot market prices. They do not include any intraday optimization (i.e. adapting the position in the intraday market, to potentially reduce imbalance volumes), and assumes the difference between day-ahead forecasted and realised generation is fully exposed to imbalance charges.

The costs are averaged over 12 months, on a 12-month rolling basis, to show a continuous trend.

The relative imbalance cost is a ratio of the imbalance cost and the simple average day-ahead price for the 12-month rolling window.


They represent the difference between the revenues that would have been earned with a perfect day-ahead forecast and the actual revenues obtained - based on the day-ahead forecast used for bidding and the forecast error settled at the imbalance price.

The imbalance costs are defined by the following formulae, depending on the system used in the market:

For Dual-Price Systems - e.g. France

  • if the renewable asset is long,

  • if the renewable asset is short,

Balancing Zone Long

Balancing Zone Short

Renewable Asset Long

​-> Cost

-> Small or No Cost/Gain​

Renewable Asset Short

-> Small or No Cost/Gain​

-> Cost

For Single-Price Systems - e.g. Germany

Balancing Zone Long

IP < DAP

Balancing Zone Short

IP > DAP

Renewable Asset Long

-> Cost

-> Gain

Renewable Asset Short

-> Gain

-> Cost

We normalise the monthly imbalance costs. Therefore, to get the rolling average we must weight by the production.

So the rolling 12-months average is calculated as: ​



How do I compare markets / technologies?

The comparison feature enables side-by-side analysis of different technologies within the same market (see screenshot). For example, users can compare the relative imbalance costs of offshore and onshore wind in Germany over the past year, identify volatility, and use this insight to inform investment or operational strategy.



What are some Limitations and Assumptions?

  • Calculations are based on public and estimated data

  • Intraday optimisation is not factored into the costs

  • Data is presented “as-is” and does not capture all system-side corrections

  • Portfolio effects are not accounted for

  • NOTE: Pexapark does not guarantee the completeness or accuracy of external data sources

The data represents an indication of the realised imbalance cost of an average asset in the balancing zone. The cost of such imbalances for any individual asset in the balancing zone will depend on the correlation between the asset imbalance and that of the system. The more positive this correlation, the more negative it works out on the earnings of the asset. For example, if the system is short and the wind or solar asset produces less than expected, the imbalance is likely to be settled at a high price. In turn, if the imbalance of the asset is supporting the overall system’s stability, and the wind or solar asset produces more than expected in the system is short, it will receive a higher price for the imbalance volume.


In addition, the imbalance cost of a (diversified) portfolio will lead to lower imbalance costs.

How are Imbalance Costs managed in the market?

While the platform focuses on cost visibility, it’s important to understand that system-level efforts to reduce imbalance costs include:

  • Improved forecasting techniques.

  • Flexible market mechanisms (e.g. intraday trading).

  • Investment in energy storage and hybrid assets

  • Grid reinforcement to reduce congestion

What are the Available Markets, Technologies and Historical Data?

In determining whether to make data available for a given market and technology, we review the historical data for consistency and reliability. The current list below represents those that offer a reasonable view of the market as of 30 April 2025.

The earliest date of the historical data for each market and technology pair is show below.

Market

System

Offshore Wind

Onshore Wind

Solar

Denmark DK1

Single price

December 2016

December 2016

December 2016

Denmark DK2

Single price

December 2016

December 2016

Finland

Single price

December 2016

France

Dual price

December 2016

December 2016

Germany

Single price

August 2019

August 2019

August 2019

Great Britain

Single price

February 2017

Portugal

Dual price

December 2016

Spain

Dual price

December 2016

December 2016

Sweden SE3

Dual price

December 2016

Did this answer your question?