Optimizing your options: Extracting the full economic value of transmission when planning under uncertainty

Munoz, Francisco D.; Watson, Jean -Paul; Hobbs, Benjamin F.

doi:10.1016/j.tej.2015.05.002

Optimizing your options: Extracting the full economic value of transmission when planning under uncertainty

Journal Article · Thu Jun 04 00:00:00 EDT 2015 · Electricity Journal

DOI:https://doi.org/10.1016/j.tej.2015.05.002· OSTI ID:1237652

Munoz, Francisco D. ^[1]; Watson, Jean -Paul ^[1]; Hobbs, Benjamin F. ^[2]

Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Johns Hopkins Univ., Baltimore, MD (United States)

In this study, the anticipated magnitude of needed investments in new transmission infrastructure in the U.S. requires that these be allocated in a way that maximizes the likelihood of achieving society's goals for power system operation. The use of state-of-the-art optimization tools can identify cost-effective investment alternatives, extract more benefits out of transmission expansion portfolios, and account for the huge economic, technology, and policy uncertainties that the power sector faces over the next several decades.

Research Organization:: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)

Grant/Contract Number:: AC04-94AL85000

OSTI ID:: 1237652

Report Number(s):: SAND--2015-3669J; PII: S1040619015001025

Journal Information:: Electricity Journal, Journal Name: Electricity Journal Journal Issue: 5 Vol. 28; ISSN 1040-6190

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (11)

Proactive planning and valuation of transmission investments in restructured electricity markets Sauma, Enzo E.; Oren, Shmuel S. Journal of Regulatory Economics, Vol. 30, Issue 3 https://doi.org/10.1007/s11149-006-9003-y	journal	September 2006
Optimization methods for electric utility resource planning Hobbs, Benjamin F. European Journal of Operational Research, Vol. 83, Issue 1 https://doi.org/10.1016/0377-2217(94)00190-N	journal	May 1995
The economics of planning electricity transmission to accommodate renewables: Using two-stage optimisation to evaluate flexibility and the cost of disregarding uncertainty van der Weijde, Adriaan Hendrik; Hobbs, Benjamin F. Energy Economics, Vol. 34, Issue 6 https://doi.org/10.1016/j.eneco.2012.02.015	journal	November 2012
Towards a more rigorous and practical unit commitment by Lagrangian relaxation Zhuang, F.; Galiana, F. D. IEEE Transactions on Power Systems, Vol. 3, Issue 2 https://doi.org/10.1109/59.192933	journal	May 1988
Implementation of a Lagrangian relaxation based unit commitment problem Virmani, S.; Adrian, E. C.; Imhof, K. IEEE Transactions on Power Systems, Vol. 4, Issue 4 https://doi.org/10.1109/59.41687	journal	January 1989
Classification of publications and models on transmission expansion planning Latorre, G.; Cruz, R. D.; Areiza, J. M. IEEE Transactions on Power Systems, Vol. 18, Issue 2 https://doi.org/10.1109/TPWRS.2003.811168	journal	May 2003
Transmission expansion planning: a mixed-integer LP approach Alguacil, N.; Motto, A. L.; Conejo, A. J. IEEE Transactions on Power Systems, Vol. 18, Issue 3 https://doi.org/10.1109/TPWRS.2003.814891	journal	August 2003
An Engineering-Economic Approach to Transmission Planning Under Market and Regulatory Uncertainties: WECC Case Study Munoz, Francisco D.; Hobbs, Benjamin F.; Ho, Jonathan L. IEEE Transactions on Power Systems, Vol. 29, Issue 1 https://doi.org/10.1109/TPWRS.2013.2279654	journal	January 2014
Comparing the Costs of Intermittent and Dispatchable Electricity Generating Technologies Joskow, Paul L. American Economic Review, Vol. 101, Issue 3 https://doi.org/10.1257/aer.101.3.238	journal	May 2011
Regulation by Simulation: The Role of Production Cost Models in Electricity Planning and Pricing Kahn, Edward Operations Research, Vol. 43, Issue 3 https://doi.org/10.1287/opre.43.3.388	journal	June 1995
Decision Making Under Uncertainty: Is Sensitivity Analysis of Any Use? Wallace, Stein W. Operations Research, Vol. 48, Issue 1 https://doi.org/10.1287/opre.48.1.20.12441	journal	February 2000

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A Hybrid Bat-Inspired Algorithm for Power Transmission Expansion Planning on a Practical Brazilian Network Moraes, C. A.; De Oliveira, E. J.; Khosravy, M. Applied Nature-Inspired Computing: Algorithms and Case Studies https://doi.org/10.1007/978-981-13-9263-4_4	book	August 2019

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