Author:UK Power NetworksCreation date:August 2022Date of source data harvest:December 2024 Temporal coverage of source data:Up to November 2024 (last modified date, when harvested)Spatial Resolution:Secondary substation locationGeometry:PointSource data URL:UK Power Networks Secondary Sites — UK Power Networks (opendatasoft.com)Data terms of use:CC BY 4.0.Data attribution:- UK Power Networks, Secondary sites, UK Power Networks Secondary Sites — UK Power Networks (opendatasoft.com), November 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.ukContains 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/

Author:UK Power NetworksCreation date:October 2021Date of source data harvest:December 2024 Temporal coverage of source data:Up to August 2024 (last modified date, when harvested)Spatial Resolution:Primary substation locationGeometry:PointSource data URL:https://ukpowernetworks.opendatasoft.com/explore/dataset/grid-and-primary-sites/informationData terms of use:CC BY 4.0Data attribution:- UK Power Networks, Key characteristics of active Grid and Primary sites, https://ukpowernetworks.opendatasoft.com/explore/dataset/grid-and-primary-sites/information, August 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.

IntroductionThe earth potential rise (EPR) dataset includes the fault current, ground return current, EPR and site classification at various voltages (132kV, 66kV, 33kV, 25kV, 20kV, 11kV, 6.6kV) for all Grid and Primary substations. This data can be used in substation earthing system design and assessment.

For further information on earthing refer to UK Power Networks' earthing standard EDS 06-0001 available from our website https://g81.ukpowernetworks.co.uk/. Please send any enquiries related to the dataset to earthingenquiries@ukpowernetworks.co.uk.

Methodological Approach

EPR data is uploaded from UK Power Networks' data warehouse.
Site Functional Locations (FLOCs) are used to associate soil data to Key characteristics of active Grid and Primary sites — UK Power Networks

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 has 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 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 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 29 November 2024), 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

The earthing fault level dataset includes the three-phase and single-phase to earth fault levels for all grid (132kV, 66kV, 33kV) and primary (33kV, 20kV, 11kV, 6.6kV) substations based on the UK Power Networks Long Term Development Statement (LTDS).

This data can be used in substation earthing system design and assessment. For further information on earthing refer to UK Power Networks earthing standard EDS 06-0001 available from our website https://g81.ukpowernetworks.co.uk/. Please send any enquiries related to the dataset to earthingenquiries@ukpowernetworks.co.uk.

Download dataset information: Metadata (JSON)

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. This is Table 2a from our current LTDS report (published 29 November 2024), showing the Transformer information for two winding (1x High Voltage, 1x Low Voltage) transformers associated with each Grid and Primary substation where applicable. 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 where the transformer is located 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

This 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.

Introduction The Embedded Capacity Register (ECR), formerly known as the System Wide Resource Register (SWRR), lists all generation, storage and flexible demand resources where the installed generation capacity, export capacity or the import capacity is greater than or equal to 1MW.

The ECR dataset provides comprehensive information about generation, storage, and flexible demand resources connected to the electricity distribution network. This dataset is crucial for understanding the capacity and distribution of these resources across different licence areas. It includes key characteristics:

Export MPAN/MSID: Unique identifier for the export meter point administration number or meter serial identifier. Import MPAN / MSID: Unique identifier for the import meter point administration number or meter serial identifier. Customer Name: Name of the customer associated with the resource. Location Coordinates: Eastings and Northings coordinates for the resource location. Primary: The primary substation associated with the resource. Energy Source and Conversion Technology: Details about the energy source (e.g., solar, wind) and the conversion technology used (e.g., photovoltaic, wind turbine). Transformer ratings

Methodological Approach

Data Collection: The data is sourced from various internal systems, including the data warehouse and other operational databases. This ensures comprehensive coverage of all relevant resources. Data Integration: The collected data is integrated and organized to provide a clear view of the capacity and distribution of these resources across different license areas. This includes details such as location coordinates, energy source, conversion technology, and associated substations.

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

Assurance Statement We are aware that not all cells are fully populated on the ECR, we are working hard to gather and check data so that we can provide the missing information as soon as possible. If you do notice any errors or omissions please email us at DG-Q&A@ukpowernetworks.co.uk.

Other More information can be found here: https://ukpowernetworks.opendatasoft.com/pages/embedded_capacity_register/ 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/

The data consists of names, types, voltages, constraint status and national grid references for 56,865 electricity substations (33 kV or larger) in Great Britain in 2018. It was compiled from information on individual transmission or distribution network operator websites and interpreted to produce a classification of constraint status (where applicable). The data set was compiled from information on individual transmission or distribution network operator websites. The work was funded by the Natural Environment Research Council Award NE/M019713/1.

Volume of Low Carbon Technologies (LCT) for both generation and demand (under 1MW) connected to UK Power Networks by Primary Substation. Examples of LCTs include electric vehicle charge points and solar PV.

This geospatial data is a combination of Great Britain's 4436 primary substation service areas which have been parsed into a single shapefile for energy systems analysis. The original component datasets were provided by the six distribution network operator (DNO) companies in Great Britain (National Grid Electricity Distribution, Electricity North West Ltd, Scottish and Southern Electricity Networks, UK Power Networks, Scottish Power Energy Networks and Northern Power Grid). Attribution is given to the original data owners at each of these six DNOs and the resulting dataset from this work has been created and published under an open licence with each DNO's permission.

The data is available to download as two geojson files in the WGS84 coordinate system. One is a streamlined version which just contains the polygons along with a unique primary identifier (UPID), primary substation name, DNO licence area and local authority. The other contains the polygons along with richer energy data which was aggregated to the primary substation level from publicly available Department for Energy Security and Net Zero, Office for National Statistics and National Grid ESO datasets. This data is also available to download in tabular form as a csv file. The meter numbers and consumption values are the means of those reported from 2015-2020. The substation polygons were those as received or publicly available as of the time period of this study (2021-22).

The pre-print manuscript of the methodology used to create this dataset can be found on arXiv at:

https://doi.org/10.48550/arXiv.2311.03324

Funding to support this work was received from the Engineering and Physical Sciences Research Council (EP/W008726/1) under the Gas Net New project and the Alan Turing Institute's Science of Cities and Regions Programme. Thanks are also given to the contributors of QGIS and the Geopandas Python library, both of which were used in this analysis.

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. This is Table 3a from our current LTDS report (published 29 November 2024), showing the observed substation peak demands with no correction for demand served by generation. This data has been transposed to show years as rows. 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 HV or LV Substation to Key characteristics of active Grid and Primary sites — UK Power Networks ID field added to identify row number for reference purposes Data is transposed to show year as a value rather than a field - this allows the data to be viewed graphically.

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: 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 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. From there, electricity is distributed along the 33 kV circuits to bring it closer to the home. 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 Eastern Power Networks (EPN) license area. The data is 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 33 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 33kV 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 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 InformationDefinitions 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. Click here for more information: Open Data Portal Reuses — UK Power Networks

Volume of Low Carbon Technologies (LCT) for both generation and demand (under 1MW) connected to the UKPN network by Primary Substation. Includes primary site spatial coordinates and covers LCT types EV Charging Point, Heat Pump, Hydro, CHP, Solar, Wind and Battery Storage among others.

Download dataset information: Metadata (JSON)

Introduction Volume of Low Carbon Technologies (LCT) for both generation and demand (under 1MW) connected or accepted to connect to UK Power Networks Secondary Substations where:

  There are greater than 5 LCT connections (or accepted to connect) by Type.
  The secondary site transformer serves more than 5 customers.

This is done in the interest of protecting customer privacy.

Methodological Approach

  LCT application data (which captures, amongst other things, the location, LCT type, and capacity) is taken from our Smart Connect portal at https://www.ukpowernetworks.co.uk/smart-connect.
  Using the MPAN (Meter Point Administration Number), we look up our connectivity model to ascertain the upstream connecting secondary and primary substations.
  Data is then aggregated to the secondary site where there are greater than 5 connections.


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 has 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

33kV substations for all NGED areas supplied chunked at OS 20km Grid in zipped ESRI Shapefile (SHP) format. Important Safety Information The information contained in this spatial dataset is provided for general informational purposes only. It is not intended, nor should it be used for excavation, construction, or any activities involving work in the vicinity of distribution network assets. Users are expressly prohibited from relying on this dataset for any such purposes. Before undertaking any excavation, construction, or related activities, users must refer to the following HSG47: Avoiding danger from underground services GS6: Avoiding danger from overhead power lines Linesearch before U Dig: Free locational data to locate underground assets when working in the vicinity of the electricity distribution network The creators and distributors of this dataset shall not be held liable for any damages, injuries, or losses resulting from the use or misuse of this dataset. By accessing and using this dataset, you agree to comply with this disclaimer and assume full responsibility for any risks associated with its use.

Um ficheiro de forma que contém as áreas de código postal fornecidas pelas subestações primárias. As definições dos termos-chave relacionados com este conjunto de dados podem ser encontradas no Portal de Dados Abertos Glossário: "https://ukpowernetworks.opendatasoft.com/pages/glossary/" target="_blank"style="color: RGB(241, 142, 13); fundo-cor: transparente;">https://ukpowernetworks.opendatasoft.com/pages/glossary/