Valuation of flexible transmission investment options under uncertainty
File(s)SpS_IK_final.pdf (672.92 KB)
Accepted version
Author(s)
Konstantelos, I
Strbac, G
Type
Journal Article
Abstract
Significant uncertainty surrounds the future development of electricity systems, primarily in terms of size, location and type of new renewable generation to be connected. In this paper we assess the potential for flexible network technologies, such as phase-shifting transformers, and non-network solutions, such as energy storage and demand-side management, to constitute valuable interim measures within a long-term planning strategy. The benefit of such flexible assets lies not only in the transmission services provided but also in the way they can facilitate and de-risk subsequent decisions by deferring commitment to capital-intensive projects until more information on generation development becomes available. A novel stochastic formulation for transmission expansion planning is presented that includes consideration of investment in these flexible solutions. The proposed framework is demonstrated with a case study on the IEEE-RTS where flexible technologies are shown to constitute valuable investment options when facing uncertainties in future renewable generation development.
Date Issued
2015-03-01
Date Acceptance
2014-10-07
Citation
IEEE Transactions on Power Systems, 2015, 30 (2), pp.1047-1055
ISSN
0885-8950
Publisher
Institute of Electrical and Electronics Engineers
Start Page
1047
End Page
1055
Journal / Book Title
IEEE Transactions on Power Systems
Volume
30
Issue
2
Copyright Statement
© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (E
Engineering & Physical Science Research Council (EPSRC)
Identifier
https://ieeexplore.ieee.org/document/6936945
Grant Number
EP/L014386/1
EP/K002252/1
EP/K039326/1
EP/I013636/1
Subjects
Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
Benders decomposition
energy storage
stochastic programming
transmission expansion planning
OPTIMAL POWER-FLOW
EXPANSION
CHALLENGES
MARKET
Publication Status
Published
Date Publish Online
2014-10-27