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Article
Evolutionary Optimization of Flexible AC Transmission System Device Placement for Increasing Power Grid Reliability
Proceedings of the 6th International Workshop on Frontiers in Evolutionary Algorithms (2005, Salt Lake City, UT)
  • John Chaloupek
  • Daniel R. Tauritz, Missouri University of Science and Technology
  • Bruce M. McMillin, Missouri University of Science and Technology
  • Mariesa Crow, Missouri University of Science and Technology
Abstract

In order to increase the reliability of the nation's power grid, this paper proposes using an Evolutionary Algorithm (EA) to optimize the placement of a limited number of Flexible AC Transmission System (FACTS) devices on power lines. We benchmark against a brute-force placement and compare our EA approach with a greedy algorithm approach suggested by previous research to show that the EA approach results in superior placements.

Meeting Name
6th International Workshop on Frontiers in Evolutionary Algorithms (2005: Jul. 21-26, Salt Lake City, UT)
Department(s)
Computer Science
Second Department
Electrical and Computer Engineering
Keywords and Phrases
  • FACTS,
  • Critical Infrastructure Protection,
  • Evolutionary Algorithm,
  • Placement
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Publication Date
7-1-2005
Citation Information
John Chaloupek, Daniel R. Tauritz, Bruce M. McMillin and Mariesa Crow. "Evolutionary Optimization of Flexible AC Transmission System Device Placement for Increasing Power Grid Reliability" Proceedings of the 6th International Workshop on Frontiers in Evolutionary Algorithms (2005, Salt Lake City, UT) (2005) p. 516 - 519
Available at: http://works.bepress.com/daniel-tauritz/34/