Development of geospatial power system planning models

This paper presents GHD’s novel process for building geospatial power system models of UK Distribution Network Operator (DNO) National Grid Energy Distribution’s (NGED) Medium Voltage (MV) network for use in PSS®SINCAL. A Proof of Concept (PoC) model was created using Feature Manipulation Engine (FME) to demonstrate how data from a Geographic Information System (GIS) could be used to create accurate power system models. The PoC identified areas for development, leading to a comprehensive specification for the full model creation process. The project saw the development of an automated process to create over 1,000 MV substation models from the latest network asset data, enabling power system analysis to be undertaken regularly by over 50 network planning engineers. The automated model process has accelerated connection timescales, enabled accurate power system analysis, and supported the transition from DNO to Distribution System Operator (DSO). This paper describes the methodology, models, and data processing steps, summarising the project’s learnings.

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Publication Details

Journal
IET conference proceedings.
Published
2025-10-14
DOI
https://doi.org/10.1049/icp.2025.2199
Primary Topic
Global Energy Security and Policy
Type
article
Field-Weighted Citation Impact
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article

Development of geospatial power system planning models

Neil Murdoch, Nick J. Edwards, Freddie Wiles
IET conference proceedings.
Global Energy Security and Policy
article

Development of geospatial power system planning models

Neil Murdoch, Nick J. Edwards, Freddie Wiles
article en

Abstract

This paper presents GHD’s novel process for building geospatial power system models of UK Distribution Network Operator (DNO) National Grid Energy Distribution’s (NGED) Medium Voltage (MV) network for use in PSS®SINCAL. A Proof of Concept (PoC) model was created using Feature Manipulation Engine (FME) to demonstrate how data from a Geographic Information System (GIS) could be used to create accurate power system models. The PoC identified areas for development, leading to a comprehensive specification for the full model creation process. The project saw the development of an automated process to create over 1,000 MV substation models from the latest network asset data, enabling power system analysis to be undertaken regularly by over 50 network planning engineers. The automated model process has accelerated connection timescales, enabled accurate power system analysis, and supported the transition from DNO to Distribution System Operator (DSO). This paper describes the methodology, models, and data processing steps, summarising the project’s learnings.

IET conference proceedings.Vol. 2025(14)
Cobalt Institute (GB), RedT Energy Storage (United Kingdom) (GB), Sage (United Kingdom) (GB)
Openalex Percentile: Top 56%
Global Energy Security and Policy
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Development of geospatial power system planning models — Neil Murdoch, Nick J. Edwards, et al. · IET conference proceedings. (2025) | TGRS Research Map | TGRS