Grid Optimization Competition on Synthetic and Industrial Power Systems

Farnaz Safdarian, Jonathan Snodgrass, Ju Hee Yeo, Adam Birchfield, Carleton Coffrin, Chris Demarco, Stephen Elbert, Brent Eldridge, Tarek Elgindy, Scott L. Greene, Nongchao Guo, Jesse Holzer, Bernard Lesieutre, Hans Mittelmann, Richard P. O'Neill, Thomas J. Overbye, Bryan Palmintier, Pascal Van Hentenryck, Arun Veeramany, Terrence W.K. MakJessica Wert

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

3 Scopus citations


This paper summarizes a grid optimization (GO) competition effort in the United States to find the best solution strategies for up to interconnect-scale power system networks with around 32,000 buses. The optimization problem is a mixedinteger, non-convex non-linear problem, (MINLP) and includes discrete variables such as unit commitment and line switching, control settings (transformer taps and phase shifters with impedance correction tables), and bus shunts. The case study includes six actual industry grids as well as 16 realistic synthetic grids created by three different dataset teams. The winners are selected and ranked based on scoring criteria, which consider the solution quality (such as objective functions) within time limits. Nine winner teams are selected from 26 competitor teams. The results achieved by different teams are described and the performance of different algorithms on synthetic grids and actual industry grids are compared and analyzed.

Original languageEnglish (US)
Title of host publication2022 North American Power Symposium, NAPS 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665499217
StatePublished - 2022
Event2022 North American Power Symposium, NAPS 2022 - Salt Lake City, United States
Duration: Oct 9 2022Oct 11 2022

Publication series

Name2022 North American Power Symposium, NAPS 2022


Conference2022 North American Power Symposium, NAPS 2022
Country/TerritoryUnited States
CitySalt Lake City


  • Mixed-integer non-linear programming
  • optimal power flow
  • optimization
  • power systems
  • synthetic network models

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization


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