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Title: Transmission expansion with smart switching under demand uncertainty and line failures

One of the major challenges in deciding where to build new transmission lines is that there is uncertainty regarding future loads, renewal generation output and equipment failures. We propose a robust optimization model whose transmission expansion solutions ensure that demand can be met over a wide range of conditions. Specifically, we require feasible operation for all loads and renewable generation levels within given ranges, and for all single transmission line failures. Furthermore, we consider transmission switching as an allowable recovery action. This relatively inexpensive method of redirecting power flows improves resiliency, but introduces computational challenges. Lastly, we present a novel algorithm to solve this model. Computational results are discussed.
Authors:
 [1] ;  [2] ;  [3]
  1. General Motors Research and Development, Warren, MI (United States)
  2. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
  3. Univ. of Michigan, Ann Arbor, MI (United States)
Publication Date:
Report Number(s):
SAND-2016-9200J
Journal ID: ISSN 1868-3967; PII: 213
Grant/Contract Number:
AC04-94AL85000
Type:
Accepted Manuscript
Journal Name:
Energy Systems
Additional Journal Information:
Journal Volume: 8; Journal Issue: 3; Journal ID: ISSN 1868-3967
Publisher:
Springer
Research Org:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org:
USDOE National Nuclear Security Administration (NNSA)
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; transmission expansion plannin; robust optimization; transmission switching
OSTI Identifier:
1340514