Performance of AC and DC based transmission switching heuristics on a large-scale polish system

Mostafa Sahraei-Ardakani, Akshay Korad, Kory Hedman, Paula Lipka, Shmuel Oren

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

12 Scopus citations


Optimal transmission switching (OTS) has demonstrated benefits both in terms of reliability and cost savings for bulk power systems. OTS is a mixed-integer program (MIP) with binary variables representing the status of the transmission elements. Due to the computational complexity of this MIP, implementation of OTS is limited. Therefore, different heuristics have been proposed to find good, suboptimal solutions fast. The heuristics are often tested on small test cases with restricted analysis on actual systems. This work tests two of the recently developed fast heuristics on the Polish system to show their performance. The results suggest that the best solutions are among the top twenty candidates identified by the heuristics if they are based on the ACOPF solution. If the heuristics are calculated based on the DCOPF solution, the performance may be poor. The correlation between estimated benefits and actual benefits is not very promising in either of the cases.

Original languageEnglish (US)
Title of host publication2014 IEEE PES General Meeting / Conference and Exposition
PublisherIEEE Computer Society
ISBN (Electronic)9781479964154
StatePublished - Oct 29 2014
Event2014 IEEE Power and Energy Society General Meeting - National Harbor, United States
Duration: Jul 27 2014Jul 31 2014

Publication series

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


Other2014 IEEE Power and Energy Society General Meeting
Country/TerritoryUnited States
CityNational Harbor


  • Optimal power flow
  • power system reliability
  • power transmission control
  • topology control

ASJC Scopus subject areas

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


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