Stochastic transmission expansion planning for the GB grid: modeling future energy scenarios and budget constraints

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Abstract

The transmission expansion planning (TEP) problem addresses the questions of what, where, and when to build transmission infrastructure to ensure economic and reliable power transport. This paper presents a stochastic optimisation modeling approach to tackle this problem. Our study is based on the GB 36 Bus electricity transmission network model, incorporating generation and load scenarios from the three Future Energy Scenarios 2025 proposed by the GB National Energy System Operator (NESO): Holistic Transition(HT), Electric Engagement(EE), and Hydrogen Evolution (HE). These scenarios are used to evaluate potential transmission expansion strategies over a 26-year planning horizon (2025–2050). To fully account for the impact of operational expenses, we introduce a dual timescale approach, considering hourly operational costs alongside longterm investment decisions over multiple years.
Original languageEnglish
Title of host publication2025 10th IEEE Workshop on the Electronic Grid (eGRID)
PublisherIEEE
Number of pages6
ISBN (Electronic)979-8-3315-9364-3
ISBN (Print)979-8-3315-9365-0
DOIs
Publication statusPublished - 25 Nov 2025
Event10th IEEE Workshop on the Electronic Grid - University of Strathclyde Technology and Innovation Centre, Glasgow, United Kingdom
Duration: 30 Sept 20252 Oct 2025
https://2025.ieee-egrid.org/

Publication series

Name2025 10th IEEE Workshop on the Electronic Grid (eGRID)
PublisherIEEE
ISSN (Print)2831-364X
ISSN (Electronic)2831-3658

Workshop

Workshop10th IEEE Workshop on the Electronic Grid
Abbreviated title eGrid 2025
Country/TerritoryUnited Kingdom
CityGlasgow
Period30/09/252/10/25
Internet address

Keywords

  • stochastic optimisation
  • transmission expansion planning
  • grid investment

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