Electricity Substation Supply Area based Data Collation and Visualization Techniques for Local Area Energy Planning: Perspectives from UK Distribution Network Datasets

Achieving net-zero carbon emissions necessitates the integration of low carbon technologies into electricity distribution networks. This paper explores the process of gathering, cleaning, formatting, and analyzing electricity network data from various UK Distribution Network Operators (DNOs) and other sources. The objective is to create a comprehensive dataset for electricity networks, from granular levels (secondary substation supply areas) to broader scales (GSP electricity supply areas). Rigorous methodologies, including demand and generation headroom analysis, represent the available capacity of electricity networks and evaluate the feasibility of integrating low carbon technologies (LCTs). The study also cooperate in Local Area Energy Planning (LAEP) methodology requirements, guiding local authorities and DNOs in planning to meet decarbonization objectives. Python was used for data processing, and QGIS software for spatial analysis and visualization. Sample processed datasets across the UK demonstrate the practical application of them, providing insights into the technical feasibility of integrating LCTs. This work supports policymakers, utility companies, and stakeholders in navigating the energy transition, contributing to regional and national decarbonization goals.