Expansion planning for transmission network under demand uncertainty: A real options framework
Fikri Kucuksayacigil and
K. Jo Min
The Engineering Economist, 2018, vol. 63, issue 1, 20-53
Abstract:
In recent years, there has been much expectation that transmission expansion planning should address ever increasing demands for transmission services under significant and complex economic and regulatory uncertainties. In this article, toward meeting the aforementioned expectation, we develop and analyze a real options framework that provides the valuation of a transmission owner's option to expand in his or her network. What distinguishes our framework from the extant literature is that the evolution of the demand follows a geometric Brownian motion process, it explicitly accounts for the physical flow of the electric power economically manifested as the locational marginal prices, and it shows how the values of the expansion options can be determined in the transmission network. Furthermore, our framework shows how to value an option to expedite or delay can be determined given that a specific expansion is planned. An extensive numerical example is presented to illustrate the key features of our framework.
Date: 2018
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/0013791X.2016.1256459 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:uteexx:v:63:y:2018:i:1:p:20-53
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/UTEE20
DOI: 10.1080/0013791X.2016.1256459
Access Statistics for this article
The Engineering Economist is currently edited by Sarah Ryan
More articles in The Engineering Economist from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().