Computationally efficient optimal Transmission Switching: Solution space reduction

Clayton Barrows, Seth Blumsack, Russell Bent

Research output: Chapter in Book/Report/Conference proceedingConference contribution

28 Scopus citations


Recent studies have shown that the dynamic removal of transmission lines from operation (Transmission Switching) can reduce the costs associated with power system operation. Smart Grid technologies introduce flexibility into the transmission network topology and enable state dependent co-optimization of generation and network topology. The optimal transmission topology problem has been posed in previous research on small test systems. However, the problem complexity and large system size makes optimal transmission switching (OTS) intractable on real power systems. We analyze the optimal transmission switching results of prior work on the RTS-96 network and find that most of the economic benefits arise from switching a small number of lines. We decompose the results to determine the marginal savings contribution of each optimally switched line. Our marginal analysis leads to the development of an off-line screening method, based on network sensitivities, for identifying candidate switchable lines. When compared to OTS on the RTS-96 network, our screening tool generates near optimal solutions in a fraction of the time.

Original languageEnglish (US)
Title of host publication2012 IEEE Power and Energy Society General Meeting, PES 2012
StatePublished - 2012
Event2012 IEEE Power and Energy Society General Meeting, PES 2012 - San Diego, CA, United States
Duration: Jul 22 2012Jul 26 2012

Publication series

NameIEEE Power and Energy Society General Meeting
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933


Other2012 IEEE Power and Energy Society General Meeting, PES 2012
Country/TerritoryUnited States
CitySan Diego, CA

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering


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