Optimal transmission switching - Sensitivity analysis and extensions

Kory W. Hedman, Richard P. O'Neill, Emily Bartholomew Fisher, Shmuel S. Oren

Research output: Contribution to journalArticlepeer-review

187 Scopus citations


In this paper, we continue to analyze optimal dispatch of generation and transmission topology to meet load as a mixed integer program (MIP) with binary variables representing the state of the transmission element (line or transformer). Previous research showed a 25% savings by dispatching the IEEE 118-bus test case. This paper is an extension of that work. It presents how changing the topology affects nodal prices, load payment, generation revenues, cost, and rents, congestion rents, and flowgate prices. Results indicate that changing the topology to cut costs typically results in lower load payments and higher generation rents for this network. Computational issues are also discussed.

Original languageEnglish (US)
Pages (from-to)1469-1479
Number of pages11
JournalIEEE Transactions on Power Systems
Issue number3
StatePublished - 2008
Externally publishedYes


  • Mixed integer programming
  • Power generation dispatch
  • Power system economics
  • Power transmission control
  • Power transmission economics

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


Dive into the research topics of 'Optimal transmission switching - Sensitivity analysis and extensions'. Together they form a unique fingerprint.

Cite this