IntroductionThe data shown above constitutes UK Power Networks’ provisional view against the Clean Power 2030 technology breakdowns applicable to UK Power Networks – the information will continue to be updated as we confirm the evidence from our customers. This is for indicative purposes only.Here is a breakdown of the different categories:Connected: Connected capacity.Potentially Protected Schemes by 2030: Projects meeting any of the protections criteria against Strategic Alignment. In line with the Connections Network Design Methodology (CNDM) from NESO, if the 2030 permitted capacity is reached at this stage, all remaining potentially protected projects will be allocated to Phase 2 (2035 allocation), even if this results in 2035 permitted capacity being exceeded. Potentially Protected Schemes by 2035: Remaining projects meeting any of the protections criteria against Strategic Alignment, and which exceeded the 2030 permitted capacity.Projects with readiness connecting by 2030: Projects with land rights (and either application submitted, under appeal or only land), connecting by 2030 as per their contracted connection date.Projects with readiness connecting by 2035: Projects with land rights (and either application submitted, under appeal or only land), connecting by 2035 as per their contracted connection date.No readiness or progress recorded: Projects without land rights (despite having consents approved or application submitted), or no progress recorded at all.Outside of scope for Gate 2 to Whole Queue: Projects which fall outside of the upcoming Gate 2 application window (Gate 2 to Whole Queue) due to not being part of an application to NESO before “The Pause” .DESNZ 2030: Regional capacity breakdown per technologies for UK Power Networks’ distribution network region for 2030, as provided by the Clean Power 2030 Action Plan (Clean Power 2030 Action Plan: A new era of clean electricity: Connections reform annex)DESNZ 2035: Regional capacity breakdown per technologies for UK Power Networks’ distribution network region for 2035, as provided by the Clean Power 2030 Action Plan (Clean Power 2030 Action Plan: A new era of clean electricity: Connections reform annex)

Methodological Approach The breakdown has been generated based on the progress status which aligns with NESO’s Gate 2 Readiness Criteria, compared against DESNZ allocation for UK Power Networks. This continues to be updated as more information is provided and validated.

Quality Control Statement This dataset has been peer reviewed and is the outcome of an iterative process as the queue formation process has become clearer over the last months (and is still subject to change following Ofgem’s decision).

Assurance Statement The Open Data Team and DSO Regional Development Team worked together ensure data accuracy and consistency.

OtherDownload dataset information: Metadata (JSON)

Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

IntroductionThis dataset contains the frequency and duration that EHV electricity assets are out of service for planned outages from UK Power Networks' Network Vision - an outage planning tracking tool. Which provides a customer facing web portal to provide information about generation customer curtailments and shutdowns to our customers, and provides an interface for our customers to engage with our Outage Planners.

We have removed planned outages which are related to customer sites, i.e. this dataset is not the complete view of unplanned EHV network outages. Distributed generation customers should register and login via our Network Vision tool for full visibility.

Methodological Approach

Data Extraction and Cleaning: Data is extracted from Network Vision.

Data Filtering: We have removed planned outages which are related to customer sites, i.e. this dataset is not the complete view of unplanned EHV network outages.

  Functional Location Codes (FLOC) Matching: FLOC codes are extracted and matched to Primaries, Grid Sites and Grid Supply Points. Confirmed FLOCs are used to ensure accuracy, with any unmatched sites reviewed by the Open Data Team.

Quality Control Statement

Quality Control Measures include:

Verification steps to match features only with confirmed functional locations. Manual review and correct of data inconsistencies

Assurance Statement The Open Data Team and Outage Planning Team worked together to ensure data accuracy and consistency.

Other

Download dataset information: Metadata (JSON)

Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

IntroductionThis dataset contains the geographical locations of High Voltage overhead lines that are in use in the Eastern Power Network (EPN) and South Eastern Power Network (SPN) licence areas. Locations are available as Geo Point (latitude and longitude) and Geo Shape. The dataset can be downloaded as a shapefile.

Methodological Approach

  Data Extraction: Shapefiles are extracted from our geospatial mapping system - NetMap.
  Vectorisation: Shapefiles will be regularly updated to account for vectorisation updates

Quality Control Statement The data is provided "as is". Please be aware that not all locations are fully vectorised yet, so the dataset provides only partial coverage. Refer to our EPN Vectorisation Delivery Plan.

Assurance Statement The Open Data team has checked the data against source to ensure data accuracy and consistency. The data domain owners have checked their respective data aspects.

Other Download dataset information: Metadata (JSON)

Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/To view this data please register and login.

IntroductionShapefile showing UK Power Networks' 66kV overhead lines.

Methodological Approach

  Data Extraction: Shapefiles are extracted from our geospatial mapping system - NetMap.
  Vectorisation: Shapefiles will be regularly updated to account for vectorisation updates

Quality Control Statement The data is provided "as is". Please be aware that not all locations are fully vectorized yet, so the dataset provides only partial coverage. Refer to our EPN Vectorisation Delivery Plan.

Assurance Statement The Open Data Team checked to ensure data accuracy and consistency.

Other Download dataset information: Metadata (JSON)Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

IntroductionA dataset showing the location of UK Power Networks' 33kV poles and towers.

Methodological Approach

  Data Extraction: Shapefiles are extracted from our geospatial mapping system - NetMap.
  Vectorisation: Shapefiles will be regularly updated to account for vectorisation updates

Quality Control Statement The data is provided "as is". Please be aware that not all locations are fully vectorised yet, so the dataset provides only partial coverage. Refer to our EPN Vectorisation Delivery Plan.

Assurance Statement The Open Data Team checked to ensure data accuracy and consistency.

Other Download dataset information: Metadata (JSON)

Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

Introduction Shapefile showing UK Power Networks' 132kV overhead lines.

Methodological Approach

  Data Extraction: Shapefiles are extracted from our geospatial mapping system - NetMap; and

Vectorisation: Shapefiles will be regularly updated to account for vectorisation updates.

Quality Control Statement The data is provided "as is". Please be aware that not all locations are fully vectorised yet, so the dataset provides only partial coverage. Refer to our EPN Vectorisation Delivery Plan.

Assurance Statement The Open Data Team checked to ensure data accuracy and consistency.

Other Download dataset information: Metadata (JSON)

Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

Introduction The GIS (Geographic Information System) vectorisation project will deliver the incremental digital conversion of our legacy geospatial network records. This dataset defines the sub-areas which will be incrementally delivered, detailing corresponding current status and planned completion dates. This allows users to understand the current and future coverage of digital geospatial network records as the project progresses.

Methodological Approach Progress against a defined project plan is captured and updated throughout the day. A script is run to convert into a shapefile. This shapefile is then uploaded onto the Open Data Portal.

Quality Control Statement

This dataset is provided "as is".

Assurance Statement The Open Data Team has checked outputs to validate.

Other Download dataset information: Metadata (JSON)

Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

Introduction This dataset contains the geographical locations of Low Voltage overhead lines that are in use in the UK Power Networks licence areas. Locations are available as Geo Point (latitude and longitude) and Geo Shape. The dataset can be downloaded as a shapefile. Please be aware that not all locations are fully vectorised yet, so the dataset provides only partial coverage. Refer to our EPN Vectorisation Delivery Plan.

Methodological Approach

  Data Extraction: Shapefiles are extracted from our geospatial mapping system - NetMap.
  Vectorisation: Shapefiles will be regularly updated to account for vectorisation updates.


Quality Control Statement
Quality Control Measures include:

  Manual review and correction of data inconsistencies.
  Use of additional verification steps to ensure accuracy in the methodology.


Assurance Statement
The Open Data Team checked to ensure data accuracy and consistency.

Other
Download dataset information: Metadata (JSON)
Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: Open Data Portal Glossary

Introduction Generation customers connected to UK Power Networks can be subjected to curtailment through our Distributed Energy Resource Management System (DERMS) if they accepted a curtailable-connection. During periods of network congestion, these DERS will have their access reduced to mitigate network constraint breaches. Their reduction is organised according to their connection application date in a last-in first-out (LIFO) arrangement. The Constraints Real Time Meter Readings dataset on the Open Data Portal (ODP) gives a near real time status of the constraints on our network that are used by DERMS to reduce access. This API accessible dataset can be used to see just how congested the network is, and for the specific DER operators themselves, they have access and visibility to the constraints of their specific site. The dataset contains a timestamp, the constraint identifier, the most recent current reading in amps, the trim and release limits (curtailment starts at the trim and ends at the release), whether the site is in breach, a description of the constraint, and (only if you have access) the name of the DER. The dataset updates as close to real time as is possible. Our scheduling is as follows:

At 15s past the minute mark, we scrape the network data and push it to the ODP server On the minute mark, the ODP runs an update to refresh the dataset The dataset refresh is completed between 5-15s past the minute mark Only after this refresh has completed can you get the latest values from the ODP

You can run this notebook to see the dataset in action: https://colab.research.google.com/drive/1Czx98U6zttlA3PC2OfI_0UzAbE48BvEq?usp=sharing

Methodological Approach

A Remote Terminal Unit (RTU) is installed at each curtailable-connection site providing live telemetry data into the DERMS. It measures communications status, generator output, and mode of operation. RTUs are also installed at constraint locations (physical parts of the network, e.g., transformers, cables which may become overloaded under certain conditions). These are identified through planning power load studies. These RTUs monitor current at the constraint and communications status. The DERMS design integrates network topology information. This maps constraints to associated curtailable connections under different network running conditions, including the sensitivity of the constraints to each curtailable connection. In general, a 1MW reduction in generation of a customer will cause <1MW reduction at the constraint. Each constraint is registered to a GSP. DERMS monitors constraints against the associated breach limit. When a constraint limit is breached, DERMS calculates the amount of access reduction required from curtailable connections linked to the constraint to alleviate the breach. This calculation factors in the real-time level of generation of each customer and the sensitivity of the constraint to each generator. Access reduction is issued to each curtailable-connection via the RTU until the constraint limit breach is mitigated. Multiple constraints can apply to a curtailable-connection and constraint breaches can occur simultaneously. Where multiple constraint breaches act upon a single curtailable-connection, we apportion the access reduction of that connection to the constraint breaches depending on the relative magnitude of the breaches. Where customer curtailment occurs without any associated constraint breach, we categorize the curtailment as non-constraint driven. Future developments will include the reason for non-constraint driven curtailment.

Quality Control Statement Quality Control Measures include:

Manual review and correction of data inconsistencies. Use of additional verification steps to ensure accuracy in the methodology.

Assurance Statement The DSO Data Science Team checked to ensure data accuracy and consistency.

Other Download dataset information: Metadata (JSON) Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

IntroductionShapefile showing the position of UK Power Networks' 33kV overhead lines for all licence areas.

Methodological Approach

Data Extraction: Shapefiles are extracted from our geospatial mapping system - NetMap. Vectorisation: Shapefiles will be regularly updated to account for vectorisation updates

Quality Control Statement The data is provided "as is". Please be aware that not all locations are fully vectorised yet, so the dataset provides only partial coverage. Refer to our EPN Vectorisation Delivery Plan.

Assurance Statement The Open Data team has checked the data against source to ensure data accuracy and consistency. The data domain owners have checked their respective data aspects.

Other

Download dataset information: Metadata (JSON)

Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

IntroductionFollowing the identification of Local Area Energy Planning (LAEP) use cases, this dataset lists the data sources and/or information that could help facilitate this research. View our dedicated page to find out how we derived this list: Local Area Energy Plan — UK Power Networks (opendatasoft.com)

Methodological Approach Data upload: a list of datasets and ancillary details are uploaded into a static Excel file before uploaded onto the Open Data Portal.

Quality Control Statement

Quality Control Measures include: Manual review and correct of data inconsistencies Use of additional verification steps to ensure accuracy in the methodology

Assurance Statement The Open Data Team and Local Net Zero Team worked together to ensure data accuracy and consistency.

Other Download dataset information: Metadata (JSON)

Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

Please note that "number of records" in the top left corner is higher than the number of datasets available as many datasets are indexed against multiple use cases leading to them being counted as multiple records.

Introduction The Long Term Development Statement (LTDS) report on a 0-5 year period, describing a forecast of load on the network and envisioned network developments. The LTDS is published at the end of May and November each year. This is Table 1 from our current LTDS report (published 30 May 2025), showing the circuit associated with each Grid and Primary substation. More information and full reports are available from the landing page below: Long Term Development Statement and Network Development Plan Landing Page — UK Power Networks (opendatasoft.com)

Methodological Approach

Site Functional Locations (FLOCs) are used to associate the From Substation to Key characteristics of active Grid and Primary sites — UK Power Networks ID field added to identify row number for reference purposes

Quality Control Statement Quality Control Measures include:

Verification steps to match features only with confirmed functional locations. Manual review and correction of data inconsistencies Use of additional verification steps to ensure accuracy in the methodology

Assurance Statement The Open Data Team and Network Insights Team worked together to ensure data accuracy and consistency.

Other Download dataset information: Metadata (JSON) Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: Open Data Portal Glossary

Introduction UK Power Network maintains the 132kV voltage level network and below. An important part of the distribution network is distributing this electricity across our regions through circuits. Electricity enters our network through Super Grid Transformers at substations shared with National Grid we call Grid Supply Points. It is then sent at across our 132 kV Circuits towards our grid substations and primary substations. These circuits can be viewed on the single line diagrams in our Long-Term Development Statements (LTDS) and the underlying data is then found in the LTDS tables .
Care is taken to protect the private affairs of companies connected to the 132 kV network, resulting in the redaction of certain circuits. Where redacted, we provide monthly statistics to continue to add value where possible. Where monthly statistics exist but half-hourly is absent, this data has been redacted. This dataset provides monthly statistics across these named circuits from 2021 through to the previous month across our license areas. The data is aligned with the same naming convention as the LTDS for improved interoperability. To find half-hourly current and power flow for the circuit you are looking for, use the ‘ltds_line_name’ that can be cross referenced in the 132kV Circuits Half Hourly Data. If you want to download all this data, it is perhaps more convenient from our public sharepoint: Sharepoint This dataset is part of a larger endeavour to share more operational data on UK Power Networks assets. Please visit our Network Operational Data Dashboard for more operational datasets.

Methodological Approach

The dataset is not derived, it is the measurements from our network stored in our historian. The measurement devices are taken from current transformers attached to the cable at the circuit breaker, and power is derived combining this with the data from voltage transformers physically attached to the busbar. The historian stores datasets based on a report-by-exception process, such that a certain deviation from the present value must be reached before logging a point measurement to the historian. We extract the data following a 30-min time weighted averaging method to get half-hourly values. Where there are no measurements logged in the period, the data provided is blank; due to the report-by-exception process, it may be appropriate to forward fill this data for shorter gaps. We developed a data redactions process to protect the privacy or companies according to the Utilities Act 2000 section 105.1.b, which requires UK Power Networks to not disclose information relating to the affairs of a business. For this reason, where the demand of a private customer is derivable from our data and that data is not already public information (e.g., data provided via Elexon on the Balancing Mechanism), we redact the half-hourly time series, and provide only the monthly averages. This redaction process considers the correlation of all the data, of only corresponding periods where the customer is active, the first order difference of all the data, and the first order difference of only corresponding periods where the customer is active. Should any of these four tests have a high linear correlation, the data is deemed redacted. This process is not simply applied to only the circuit of the customer, but of the surrounding circuits that would also reveal the signal of that customer. The directionality of the data is not consistent within this dataset. Where directionality was ascertainable, we arrange the power data in the direction of the LTDS "from node" to the LTDS "to node". Measurements of current do not indicate directionality and are instead positive regardless of direction. In some circumstances, the polarity can be negative, and depends on the data commissioner's decision on what the operators in the control room might find most helpful in ensuring reliable and secure network operation.

Quality Control Statement The data is provided "as is".
In the design and delivery process adopted by the DSO, customer feedback and guidance is considered at each phase of the project. One of the earliest steers was that raw data was preferable. This means that we do not perform prior quality control screening to our raw network data. The result of this decision is that network rearrangements and other periods of non-intact running of the network are present throughout the dataset, which has the potential to misconstrue the true utilisation of the network, which is determined regulatorily by considering only by in-tact running arrangements. Therefore, taking the maximum or minimum of these measurements are not a reliable method of correctly ascertaining the true utilisation. This does have the intended added benefit of giving a realistic view of how the network was operated. The critical feedback was that our customers have a desire to understand what would have been the impact to them under real operational conditions. As such, this dataset offers unique insight into that. Assurance Statement

Creating this dataset involved a lot of human data imputation. At UK Power Networks, we have differing software to run the network operationally (ADMS) and to plan and study the network (PowerFactory). The measurement devices are intended to primarily inform the network operators of the real time condition of the network, and importantly, the network drawings visible in the LTDS are a planning approach, which differs to the operational. To compile this dataset, we made the union between the two modes of operating manually. A team of data scientists, data engineers, and power system engineers manually identified the LTDS circuit from the single line diagram, identified the line name from LTDS Table 2a/b, then identified the same circuit in ADMS to identify the measurement data tags. This was then manually inputted to a spreadsheet. Any influential customers to that circuit were noted using ADMS and the single line diagrams. From there, a python code is used to perform the triage and compilation of the datasets.
There is potential for human error during the manual data processing. These issues can include missing circuits, incorrectly labelled circuits, incorrectly identified measurement data tags, incorrectly interpreted directionality. Whilst care has been taken to minimise the risk of these issues, they may persist in the provided dataset. Any uncertain behaviour observed by using this data should be reported to allow us to correct as fast as possible.

Additional Information Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary. Download dataset information: Metadata (JSON) We would be grateful if you find this dataset useful to submit a “reuse” case study to tell us what you did and how you used it. This enables us to drive our direction and gain better understanding for how we improve our data offering in the future. For more information click here: Open Data Portal Reuses — UK Power Networks

Introduction A dataset showing the location of UK Power Networks' LV (Low Voltage) poles.

Methodological Approach

  Data Extraction: Shapefiles are extracted from our geospatial mapping system - NetMap.
  Vectorisation: Shapefiles will be regularly updated to account for vectorisation updates.


Quality Control Statement
Please be aware that not all locations are fully vectorised yet, so the dataset provides only partial coverage. Refer to our EPN Vectorisation Delivery Plan.

Assurance Statement
The Open Data Team checked to ensure data accuracy and consistency.

Other
Download dataset information: Metadata (JSON)
Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: Open Data Portal Glossary

IntroductionThis list outlines the current plans for the development of UK Power Networks' three license areas over the next five years, as detailed in the latest Long Term Development Statement (LTDS) Development Proposals. The LTDS is updated twice a year, at the end of May and November.

Please note that these plans may change in both content and timing. All listed projects aim to increase network capacity, while those focused solely on asset replacement are not included.

For more information and full reports, visit the landing page below: Long Term Development Statement and Network Development Plan Landing Page

Methodological Approach FLOC association: FLOCs are used to associate the LTDS infrastructure upgrade projects to grid and primary substations, to create geopoints.

Quality Control Statement

Quality Control Measures include: Verification steps to match features only with confirmed functional locations. Manual review and correct of data inconsistencies Use of additional verification steps to ensure accuracy in the methodology

Assurance Statement The Open Data Team and Network Insights Team worked together to ensure data accuracy and consistency.

Other You can also download dataset information here: Metadata (JSON).

Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: Glossary.

Introduction Our Distribution Future Energy Scenarios Network Scenario Headroom Report (DFES NSHR) is part of our Network Development Plan (NDP). The full NDP is published every other year, and the DFES NSHR is updated annually.The 1 May 2025 DFES NSHR dataset uses the network loading from our the Long Term Development Statement November 2024 as baseline, and our Distribution Future Energy Scenarios 2025 for the future scenarios of demand and generation. For further information on the NDP and the methodology to produce the DFES NSHR dataset please see Long Term Development Statement and Network Development Plan Landing PageThe DFES NSHR indicates the amount of unused network capacity for demand and generation over time to 2050 on our Bulk Supply Point and Primary substations. It shows where we may need to further reinforce our substations or procure flexibility services beyond our existing plans, if the energy system develops as indicated in each of our scenarios. Since the report indicates unused substation capacity in each year, please note unused capacity may be contractually committed to customers. Those seeking connection should contact our connections gateway to understand the latest view of available capacity.The headroom tables show firm capacity - more capacity may be available for customers on a non-firm, flexible or curtailable connection.The demand headroom tables reflect our latest firm capacity figures for demand, consistent with the May 2025 LTDS. The generation headroom tables reflect the equipment ratings in the November 2024 LTDS. As noted in the methodology, unused substation capacity (headroom) is indicative and may be already contractually-committed to specific customers.

Methodological Approach

Data Collection: Gathering data from various sources, including historical usage patterns, projected growth in renewable energy, and changes in regulatory frameworks. Forecasting: The process begins with forecasting future network loads and demands. This often involves scenario planning to predict how energy consumption and generation will evolve to 2050. The forecast methodology is reviewed periodically to incorporate new data, stakeholder feedback, and changes in energy policy or technology. Stakeholder inputs including local authorities, developers, and energy providers are included to ensure the plans align with community needs and regulatory requirements. Analysis of Network Capacity: Assessing the current capacity of the network to identify areas where reinforcement or upgrades are necessary. This includes our planning teams evaluating substations and distribution lines. Option Development: Creating potential solutions to address identified constraints. This may involve traditional reinforcement methods or exploring flexibility services that can alleviate pressure on the network. Reporting: Compiling findings into a structured report that outlines the methodology, assumptions, and planned interventions. This report is typically made available to the public for transparency. Review and Update: The methodology is reviewed periodically to incorporate new data, stakeholder feedback, and changes in energy policy or technology.

Quality Control Statement Quality Control Measures include:

Verification steps to match features only with confirmed functional locations. Manual review and correction of data inconsistencies. Use of additional verification steps to ensure accuracy in the methodology.

Assurance Statement The Open Data Team and Network Insights Team worked together to ensure data accuracy and consistency.OtherDownload dataset information: Metadata (JSON)Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

IntroductionUK Power Network maintains the 132kV voltage level network and below. An important part of the distribution network is distributing this electricity across our regions through circuits. Electricity enters our network through Super Grid Transformers at substations shared with National Grid we call Grid Supply Points. It is then sent at across our 132 kV Circuits towards our grid substations and primary substations. These circuits can be viewed on the single line diagrams in our Long-Term Development Statements (LTDS) and the underlying data is then found in the LTDS tables.

This dataset provides half-hourly current and power flow data across these named circuits from 2021 through to the previous month across our license areas. The data are aligned with the same naming convention as the LTDS for improved interoperability.

Care is taken to protect the private affairs of companies connected to the 132 kV network, resulting in the redaction of certain circuits. Where redacted, we provide monthly statistics to continue to add value where possible. Where monthly statistics exist but half-hourly is absent, this data has been redacted.

To find which circuit you are looking for, use the ‘ltds_line_name’ that can be cross-referenced in the 132kV Circuits Monthly Data, which describes by month what circuits were triaged, if they could be made public, and what the monthly statistics are of that site.

If you want to download all this data, it is perhaps more convenient from our public sharepoint: Sharepoint

This dataset is part of a larger endeavour to share more operational data on UK Power Networks assets. Please visit our Network Operational Data Dashboard for more operational datasets.

Methodological Approach

The dataset is not derived, it is the measurements from our network stored in our historian.

The measurement devices are taken from current transformers attached to the cable at the circuit breaker, and power is derived combining this with the data from voltage transformers physically attached to the busbar. The historian stores datasets based on a report-by-exception process, such that a certain deviation from the present value must be reached before logging a point measurement to the historian. We extract the data following a 30-min time weighted averaging method to get half-hourly values. Where there are no measurements logged in the period, the data provided is blank; due to the report-by-exception process, it may be appropriate to forward fill this data for shorter gaps.

We developed a data redactions process to protect the privacy of companies according to the Utilities Act 2000 section 105.1.b, which requires UK Power Networks to not disclose information relating to the affairs of a business. For this reason, where the demand of a private customer is derivable from our data and that data is not already public information (e.g., data provided via Elexon on the Balancing Mechanism), we redact the half-hourly time series, and provide only the monthly averages. This redaction process considers the correlation of all the data, of only corresponding periods where the customer is active, the first order difference of all the data, and the first order difference of only corresponding periods where the customer is active. Should any of these four tests have a high linear correlation, the data is deemed redacted. This process is not simply applied to only the circuit of the customer, but of the surrounding circuits that would also reveal the signal of that customer.

The directionality of the data is not consistent within this dataset. Where directionality was ascertainable, we arrange the power data in the direction of the LTDS "from node" to the LTDS "to node". Measurements of current do not indicate directionality and are instead positive regardless of direction. In some circumstances, the polarity can be negative, and depends on the data commissioner's decision on what the operators in the control room might find most helpful in ensuring reliable and secure network operation.

Quality Control Statement

The data is provided "as is".

In the design and delivery process adopted by the DSO, customer feedback and guidance is considered at each phase of the project. One of the earliest steers was that raw data was preferable. This means that we do not perform prior quality control screening to our raw network data. The result of this decision is that network rearrangements and other periods of non-intact running of the network are present throughout the dataset, which has the potential to misconstrue the true utilisation of the network, which is determined regulatorily by considering only by in-tact running arrangements. Therefore, taking the maximum or minimum of these measurements are not a reliable method of correctly ascertaining the true utilisation. This does have the intended added benefit of giving a realistic view of how the network was operated. The critical feedback was that our customers have a desire to understand what would have been the impact to them under real operational conditions. As such, this dataset offers unique insight into that.

Assurance Statement

Creating this dataset involved a lot of human data imputation. At UK Power Networks, we have differing software to run the network operationally (ADMS) and to plan and study the network (PowerFactory). The measurement devices are intended to primarily inform the network operators of the real time condition of the network, and importantly, the network drawings visible in the LTDS are a planning approach, which differs to the operational. To compile this dataset, we made the union between the two modes of operating manually. A team of data scientists, data engineers, and power system engineers manually identified the LTDS circuit from the single line diagram, identified the line name from LTDS Table 2a/b, then identified the same circuit in ADMS to identify the measurement data tags. This was then manually inputted to a spreadsheet. Any influential customers to that circuit were noted using ADMS and the single line diagrams. From there, a python code is used to perform the triage and compilation of the datasets.

There is potential for human error during the manual data processing. These issues can include missing circuits, incorrectly labelled circuits, incorrectly identified measurement data tags, incorrectly interpreted directionality. Whilst care has been taken to minimise the risk of these issues, they may persist in the provided dataset. Any uncertain behaviour observed by using this data should be reported to allow us to correct as fast as possible.

Additional Information

Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary.

Download dataset information: Metadata (JSON)

Introduction In the context of the upcoming Connections Reform, UK Power Networks seeks to provide further insight, at the Grid Supply Point (GSP) level, on the progress status of generation projects. These progress status categories are based on the National Energy System Operator's (NESO) proposed queue formation criteria, awaiting Ofgem’s final decision. This allows further visibility at a more granular level, while protecting individual information from projects.

A project can be classed as one of seven categories:

Under construction: Any project that is registered as such in our internal deliverability database, or that has met some of the older construction milestones that indicate construction stage. Consents approved and readiness (land rights): Projects that have land rights and have achieved planning. Application submitted and readiness (land rights): Projects that have land rights and have either applied for planning or are appealing the decision. Projects with readiness only: Projects which have only demonstrated land rights. Projects without readiness or not progress at all: Projects which have not provided any record of progress or projects which, despite having consents approved or application submitted, do not have land rights. Outside of scope for Gate 2 to Whole Queue: Projects which were not part of an offer or an application to NESO by the 29th of January 2025, following Ofgem’s decision on pause of applications to NESO.

Methodological Approach We follow a strict approach to ensure that, while we want to share as much useful data as possible, we are not providing specific information that can be linked to an individual project. The progress status of each project is obtained from our internal registers, which in turn has been obtained from our interactions with customers, our delivery pipeline and other requests for information. This is in turn grouped by GSPs and technologies, and classified as one of the seven categories used (aligning with NESO’s Gate 2 Readiness Criteria).

From this dataset, we will apply two iterations to be certain no specific project is identifiable with a progress status stage. In the first place, all categories where the customer count is 1 (e.g. one solar project is Under Construction”) would be blanked out. By doing this, we avoid what we understand would allow that specific project to be identified, by looking at its capacity, and locating it in the queue of that GSP.

In addition, if, after applying that initial check, there is a technology row with only a single non-blank, non-zero entry, we would blank the entire row . E.g. only three solar projects with Land rights only, those three projects could then be located in the queue as the only three solar schemes. The same blanking out correction is applied if the only non-blank, non-zero row entries are “Projects without readiness or not progress at all” and/or “Outside of scope for Gate 2 to Whole Queue”.

Quality Control Statement This dataset has been peer reviewed, and sample checked.

Assurance Statement The data provided above constitutes UK Power Networks’ provisional view of the status at this GSP at the date of publication and is for general information only.

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Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/To view this data please register and login.

Introduction The Long Term Development Statements (LTDS) report on a 0-5 year period, describing a forecast of load on the network and envisioned network developments. The LTDS is published at the end of May and November each year.

Long Term Development Statement Table 8 indicates any Fault Level restrictions or mitigations in place at our Grid and Primary substations. Published 30 May 2025.

More information and full reports are available from the landing page below: Long Term Development Statement and Network Development Plan Landing Page

Methodological Approach

Site Functional Locations (FLOCs) are used to associate the Substation to Key characteristics of active Grid and Primary sites — UK Power Networks 
ID field added to identify row number for reference purposes

Quality Control Statement Quality Control Measures include:

Verification steps to match features only with confirmed functional locations.
Manual review and correction of data inconsistencies.
Use of additional verification steps to ensure accuracy in the methodology.

Assurance Statement The Open Data Team and Network Insights Team worked together to ensure data accuracy and consistency.

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Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

The GIS (Geographic Information System) vectorisation project will deliver the incremental digital conversion of our legacy geospatial network records. This dataset defines the sub-areas which will be incrementally delivered, detailing corresponding current status and planned completion dates. This allows users to understand the current and future coverage of digital geospatial network records as the project progresses.

Methodological Approach Progress against a defined project plan is captured and updated throughout the day. A script is run to convert into a shapefile. This shapefile is then uploaded onto the Open Data Portal.

Quality Control Statement

This dataset is provided "as is".

Assurance Statement The Open Data Team has checked outputs to validate.

Other Download dataset information: Metadata (JSON)Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/