IntroductionShapefile showing the UK Power Networks boundary.Click here to see the areas we cover.

Methodological Approach This dataset was extracted from UK Power Networks' geospatial system - NetMap.

Quality Control Statement

The data is provided "as is".

Assurance Statement The Open Data Team reviewed this 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 operational boundaries in the UK Power Networks South Eastern Power Networks (SPN) area.

Methodological Approach This dataset was extracted from UK Power Networks' internal geospatial mapping database - NetMap.

Quality Control Statement The data is provided "as is".

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/

Author:UK Power NetworksCreation date:October 2021Date of source data harvest:December 2024 Temporal coverage of source data:Up to October 2024 (last modified date, when harvested)Spatial Resolution:Primary substation distribution areaGeometry:PointSource data URL:UK Power Networks primary substation distribution areas — UK Power Networks (opendatasoft.com)Data terms of use:CC BY 4.0Data attribution:- UK Power Networks, UK Power Networks primary substation distribution areas, https://ukpowernetworks.opendatasoft.com/explore/dataset/ukpn_primary_postcode_area/information/, October 2024.Workflow Diagram:Not available.Comments:The data and analysis developed for the sub-regional LAEP was undertaken using data available at the time and will need to be refined for a full Phase 2 LAEP. Please check here for more detailed background on the data.Whilst every effort has been made to ensure the quality and accuracy of the data, the Greater London Authority is not responsible for any inaccuracies and/or mistakes in the information provided.Definitions of key terms related to this dataset can be found in the UKPN Open Data Portal Glossary.

Introduction The dataset provides detailed information about UK Power Networks' Grid and Primary Sites. It includes key characteristics such as:

Spatial coordinates of each site Year commissioned Asset counts against each site Power transformer count Local authority information Winter and summer demand Transformer ratings

This data is useful for understanding the infrastructure and capacity of the electricity network across its regions.

Methodological Approach

Source: Various internal data domains - geospatial, asset, long term development statement; as well as openly available data from the Ordnance Survey and Office of National Statistics Manipulation: Various data characteristics were combined together using Functional Locations (FLOCs)

Quality Control Statement The data is provided "as is".

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 Contains data from Office for National Statistics licensed under the Open Government Licence v.3.0. Local Authority District (2022) to Grouped Local Authority District (2022) Lookup for EW - data.gov.uk

Contains Ordnance Survey data Crown copyright and database right [2019-]. Free OS OpenData Map Downloads | Free Vector & Raster Map Data | OS Data Hub

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 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/

Credit report of Uk Power Networks Operations Ltd contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

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/

IntroductionShapefile showing operational boundaries in the UK Power Networks Eastern Power Networks (EPN) area.

Methodological Approach This dataset was extracted from UK Power Networks' internal geospatial mapping database - NetMap.

Quality Control Statement The data is provided "as is".

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/

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 operational boundaries of the UK Power Networks London Power Networks (LPN) area

Methodological Approach This dataset was extracted from UK Power Networks' internal geospatial mapping database - NetMap.

Quality Control Statement The data is provided "as is".

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/

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

Introduction This dataset is a feed from UK Power Networks' Distribution Network Management System - ADMS, showing near real time power cut (fault) data. It includes planned and unplanned power cuts. Users will be able to consume live fault data via API.

Methodological Approach

  Data Extraction: Fault data is queried from our PowerOn system.
  Data Cleaning: Any fault which contains five or less customers, and can not be aggregated have been omitted.
  Geopoint Creation: These are created from aggregated post code data to protect individual customer privacy. 

Quality Control Statement The data is provided "as is".

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/

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/

Introduction This dataset provides information on where UK Power Networks requires flexibility services. The dataset provides a mapping of postcodes to Flexibility Zones – for all existing and historic day-ahead and long-term flexibility requirements. This enables potential flexibility service providers to quickly understand their eligibility for revenue from flexibility, without sharing any sensitive personal or commercial information. This dataset provides an approximation of eligibility for our flexibility tenders. Please note that even if your asset is within a postcode listed in this dataset, as part of the flexibility procurement process we will need to validate that the individual meter point (MPAN) is electrically connected to the Flexibility Zone. Methodological Approach Postcodes are listed against a Flexibility Zone where at least one meter point within that postcode is electrically connected to the constrained network asset. For large Flexibility Zones, which cover multiple postcodes, this will be a very good indication of eligibility for flexibility services. For smaller Flexibility Zones, particularly those at Low Voltage, a significant proportion of properties within a listed postcode may ultimately not be eligible. As part of our flexibility procurement process, we will check the individual meter point (MPAN) to confirm its final eligibility. This dataset offers an approximation of eligibility, without requiring any sharing of household or business level data. Quality Control Statement Dispatches are passed through a quality control algorithm to flag anomalies and erroneous data. Quality control checks include: Checking the formatting of postcodes Checking the number of postcodes mapped to each Flexibility Zone Checking that Flexibility Zone names align with those in other datasets on the Open Data Portal and on UK Power Networks’ chosen flexibility market platform: www.localflex.co.uk Assurance Statement The Flex Zone to Postcode mapping is reviewed before publication by a member of Flexibility Markets team.

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 is a geospatial view of the areas fed by primary substations. The aim is to create an indicative map showing the extent to which individual primary substations feed areas based on MPAN data.

Methodological Approach

  Data Extraction: MPAN data is downloaded from the geographical system. The system searches with a geographical window and assigns it to the nearest supply point.
  Connectivity. Data is taken from the connectivity model and mapped to the relevant MPAN.
  Data Filtering: Any coordinates that are more than 500m from the nearest secondary site are removed.
  Primary Assignment: Postcodes of the MPANs are assigned to a primary substation based on the number of MPANs fed.
  Polygon Creation: Primary Feed Polygons are created and cleaned up to remove holes and inclusions.
  Hierarchy Construction: Grid Supply Point polygons are produced from schematics and merged based on hierarchical relationships.
  FLOC Matching: Functional Location Codes (FLOC) are matched to the respective sites.


Quality Control Statement
Quality control measures include:

  Verification steps to match features only with confirmed FLOCs.
  Manual review and correction of data inconsistencies.
  Use of additional verification steps to ensure accuracy in the methodology.
  Regular updates and reviews documented in the version history.


Assurance Statement
The Open Data team, worked with the Geospatial Data Engineering team 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 These maps show the potential area affected by noise from Grid or Primary Substations. Acoustic mitigation strategies that have already been applied to some substations are not reflected in the maps.Please take this into account when looking at individual sites.

Please note this dataset is restricted, and if you would like to be considered for access, please contact: "opendata @ukpowernetworks.co.uk"

Developers and local authority planners should be aware that the responsibility to mitigate noise issues rests with the developer as the ‘agent of change’.

Methodological Approach There are three contours:Distance (m)Predicted Noise Level (dBA)ComplaintsAction4044Likely from any new residential developmentPlease consult environment@ukpowernetworks.co.uk7539Possible from any new residential developmentPlease consult environment@ukpowernetworks.co.uk13534Not very likely

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 Environment 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 shows our secondary sites and a number of attributes including oil natural air natural (ONAN) ratings, spatial coordinates, customer counts, whether a site is indoor/outdoor, the address, substation name, alias and its primary feeder.

Note: as of 18 April 2024, we have included an additional column showing the utilisation band of the site. The utilisation bands do not indicate contractually committed capacity e.g. capacity on our network may be unused now but expected to be used by a connection in a future year, recent acceptances which will be covered in next year's data.

There is a site classification as follows:

GMT: Ground Mounted Transformer; andPMT: Pole Mounted Transformer.

As per the attached triage document, we have redacted sites from this dataset where a transformer serves five or less customers. This is in the interest of protecting customer privacy. Further, we are aware that for a small number of records there are null values, this is primarily for the rare cases where sites have more than one transformer. There is an ongoing review into how this is recorded, which will be reflected in the data once resolved. If you notice any errors, please let us know by feedbacking against the record in the table tab.

Methodological Approach

  Data Extraction: This dataset is extracted from Azure Databricks.
  Combination: Various data columns are joined in Azure Databricks based on the FLOC. This includes Grid Reference, connectivity and the number of customers.

Processing: There are some processing, such as conversion of Grid Reference into longitude and latitude.

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 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 To ensure we deliver a safe and reliable electricity supply or to invest in our network, we may need to carry out works on highways and footways. This dataset contains details of our proposed street and roadwork permit applications taking place on the highway within UK Power Networks' footprint. This report is refreshed daily. For further information including contact details, please visit https://www.ukpowernetworks.co.uk/our-company/road-works

Methodological Approach

Data Extraction: Data is extracted from Street Manager onto a server every two hours. Data Upload: Another script is run every two hours to upload onto an FTP server, before passing onto the Open Data Portal.

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 and Streetworks Team worked together to ensure data accuracy and consistency.

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