Transmission expansion with smart switching under demand uncertainty and line failures
- General Motors Research and Development, Warren, MI (United States)
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Univ. of Michigan, Ann Arbor, MI (United States)
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.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1340514
- Report Number(s):
- SAND--2016-9200J; PII: 213
- Journal Information:
- Energy Systems, Journal Name: Energy Systems Journal Issue: 3 Vol. 8; ISSN 1868-3967
- Publisher:
- SpringerCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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