Preventing loop flows using fuzzy set theory and genetic algorithms

G. Ozdemir Dag*, M. Bagriyanik

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

In the de-regulated power systems the loop flow control issue is becoming important. This is especially true when the transmission system is operated at or close to its limits. Thus, prevention and/or control of loop flows problem need be solved efficiently and fast. We suggest a fuzzy set theory based method using genetic algorithm to solve this problem. In the proposed method the constraints and objectives are handled in fuzzy environment and the optimization problem is solved using genetic algorithms. The proposed method is applied to IEEE 14 and 30 bus test systems and the results are presented.

Original languageEnglish
Title of host publication2009 IEEE Bucharest PowerTech
Subtitle of host publicationInnovative Ideas Toward the Electrical Grid of the Future
DOIs
Publication statusPublished - 2009
Event2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future - Bucharest, Romania
Duration: 28 Jun 20092 Jul 2009

Publication series

Name2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future

Conference

Conference2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future
Country/TerritoryRomania
CityBucharest
Period28/06/092/07/09

Keywords

  • Fuzzy set theory
  • Genetic Algorithms (GAs)
  • Interconnected power systems
  • Loop flow
  • Power flow

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