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IJML 2011 Vol.1(1): 86-92
doi: 10.7763/IJMLC.2011.V1.13

Contingency Constrained Optimal Meter Placement for Power System Observability using Biogeography Based Optimization

K.Jamuna1,* , K.S.Swarup2

  • 1Indian Institute of Technology, Madras, Chennai, India -600 036
  • 2Indian Institute of Technology, Madras, Electrical Engineering Department, Chennai, India – 600 036.

* Corresponding author

Abstract

The paper presents a biography based optimization algorithm to design the measurement configuration which makes the power system network observable. The optimal meter locations are obtained under normal as well as contingency cases. The normal operation of the power system means that the equality and inequality constrains of power system should be met. The optimal and reliable meter locations are identified against two types of contingencies named as single measurements loss and single branch outages by modifying the fitness function derived in normal conditions. The effectiveness of the proposed approach is demonstrated using IEEE standard systems.

Keywords

  • Biogeography Based Optimization; Meter Placement
  • Network Observability; State Estimation
13-L197

How to Cite

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K.Jamuna and K.S.Swarup, "Contingency Constrained Optimal Meter Placement for Power System Observability using Biogeography Based Optimization," International Journal of Machine Learning, vol. 1, no. 1, pp. 86-92, 2011. https://doi.org/10.7763/IJMLC.2011.V1.13

Copyright & License

Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • E-ISSN: 2972-368X
  • Abbreviated Title: Int. J. Mach. Learn.
  • DOI: 10.18178/IJML
  • Frequency: Quarterly
  • Average Days to Accept: 68 days
  • Acceptance Rate: 27%
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • DOI: 10.18178/IJML
  • Abstracing/Indexing: Google Scholar, Crossref, ProQuest, Electronic Journals Library, CNKI.
  • E-mail: editor@ijml.org
  • APC: 500USD