Overview

This dataset contains information on what we will look to put forward in our upcoming trades, with the aim to provide more visibility ahead of the actual trade opportunities.

For general Constraint Management Zone (CMZ) information and overall requirements, please go to the Flexibility – Forecasts page.

National Grid facilitates its flexibility procurement activity through its online portal, Market Gateway. Flexibility Service Providers (FSPs) seeking an award to deliver flexibility services should register on the Market Gateway and complete the pre-qualification requirements to enable their eligibility to enter into flexibility Trades.

Pre-qualification is always open and can be completed at any time. Further guidance on this process is available here. Any questions should be sent to nged.flexiblepower@nationalgrid.co.uk.

Data

Currently, this dataset only covers Long Term trade opportunities for HV and LV in detail.

HV – Long Term Trade Parameters.csv includes information for Scheduled Availability Operational Utilisation - Day Ahead Notice and Operational Utilisation - 15min Instruction flexibility products within HV Zones, such as peak MW requirements (min, max), ceiling prices, and delivery windows (dates, times, days required).

LV – Long Term Trade Parameters.csv contains information for all zones where Scheduled Utilisation is available. This information includes the capacity we need (minimum and maximum kW), the maximum price we can pay (ceiling price in £/kW/season and £/MWh), and service delivery windows (dates, times, days required).

The trade results are presented in the Trade_Results.csv file in detail, and in Trade_Results_Summary.csv in a more simplified, aggregated view. The weekly trade auction results are presented in the Weekly_Trade_Results.csv and Weekly_Trade_Results_Summary.csv .

Disclaimer

While every effort has been made to ensure its accuracy, the data may contain inaccuracies, omissions, or may be out of date. Users are advised to independently verify any information before relying on it for decision-making or analysis. The creators of this dataset do not assume any liability for errors, inaccuracies, or omissions, nor for any actions taken based on the information contained herein.