Transmission network expansion planning under demand uncertainty and risk aversion

• Tipo: Artigo em Revista Científica Internacional
• Data: 2013

Autores

Daniel Delgado (Autor) FEUP; João Claro (Autor) FEUP

Revista

Título: International Journal of Electrical Power and Energy Systems

Vol. 44

Páginas: 696-702

ISSN: 0142-0615

Editora: Elsevier

Indexação

ISI Web of Knowledge - 31 Citações

ISI Web of Science

Scopus - 32 Citações

INSPEC

COMPENDEX

Classificação Científica

FOS: Ciências sociais > Economia e gestão

CORDIS: Ciências Sociais > Economia > Estudos de gestão > Gestão de infra-estruturas ; Ciências Tecnológicas > Engenharia > Engenharia electrotécnica ; Ciências Físicas > Matemática > Matemática aplicada > Investigação operacional

Outras Informações

ID Authenticus: P-002-25R

DOI: 10.1016/j.ijepes.2012.08.033

Abstract (EN): The explicit incorporation of uncertainty in transmission network design can help to improve the balance between different and important concerns such as network utilization, demand satisfaction, or dynamic sourcing from lower-cost generation options. The explicit study of mean-risk trade-offs in network design can also better support planners in risk-related decisions. With these motivations, we present in this paper a mean-risk mixed integer linear programming model for transmission network expansion planning. The model has the potential to be used in practical applications, but in the scope of the paper is used to search for network design insights, with a study of loss-averse design of three fundamental network building blocks-an independent design, a radial design, and a meshed design. The study illustrates how different network designs feature different trade-offs between mean cost minimization and risk mitigation, focusing on the impact of network structure, loss aversion, variability, and demand correlation.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 7