Transmission network expansion planning under demand uncertainty and risk aversion

• Type: Article in International Scientific Journal
• Date: 2013

Authors

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

Journal

Title: International Journal of Electrical Power and Energy Systems

Vol. 44

Pages: 696-702

ISSN: 0142-0615

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 31 Citations

ISI Web of Science

Scopus - 32 Citations

INSPEC

COMPENDEX

Scientific classification

FOS: Social sciences > Economics and Business

CORDIS: Social sciences > Economics > Management studies > Facilities management ; Technological sciences > Engineering > Electrical engineering ; Physical sciences > Mathematics > Applied mathematics > Operations research

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7