Transmission expansion planning for hybrid AC/DC grids using a mixed-integer non-linear programming approach

Transmission expansion planning is a well-established field of research focused on modifying existing networks to accommodate increasing loads and geographically distributed generation. However, due to computational constraints, many existing approaches rely on linearised models or simplified repres...

ver descrição completa

Detalhes bibliográficos
Autores: Castro Valerio, Bernardo, Cheah Mañé, Marc|||0000-0002-0942-661X, Albernaz Lacerda Freitas, Vinícius|||0000-0001-8648-9027, Gebraad, Pieter Marinus Otto, Gomis Bellmunt, Oriol|||0000-0002-9507-8278
Tipo de documento: artigo
Data de publicação:2026
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositório:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglês
OAI Identifier:oai:upcommons.upc.edu:2117/450844
Acesso em linha:https://hdl.handle.net/2117/450844
https://dx.doi.org/10.1016/j.ijepes.2025.111459
Access Level:Acceso aberto
Palavra-chave:Transmission expansion
Optimal power flow
Non-linear
Hybrid AC/DC
Àrees temàtiques de la UPC::Enginyeria elèctrica
Descrição
Resumo:Transmission expansion planning is a well-established field of research focused on modifying existing networks to accommodate increasing loads and geographically distributed generation. However, due to computational constraints, many existing approaches rely on linearised models or simplified representations, such as the DC power flow approximation, which may limit modelling accuracy. In contrast, this paper introduces non-linear models to optimise the impedances of AC/DC hybrid systems. The proposed methodology supports network planning along both existing and new corridors, incorporating parallel expansion, reconductoring of current routes, and the selection of optimal line sizing. It aims to optimise investment by balancing capital and operational expenditures while ensuring compliance with system limits and loading conditions. Case studies are presented to demonstrate the versatility and industrial relevance of the approach.