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General Information
Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2011 Vol.1(1): 86-92 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2011.V1.13

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

K.Jamuna, Member, IACSIT and K.S.Swarup, Senior Member, IEEE

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.

Index Terms—Biogeography Based Optimization; Meter Placement, Network Observability; State Estimation

K.Jamuna is with the Indian Institute of Technology, Madras, Chennai, India -600 036 (corresponding author to provide phone: +91-44-2257 5461; fax: +91-44-2257 4402; e-mail: jamunakamaraj@gmail.com). K.S.Swarup is with the Indian Institute of Technology, Madras, Electrical Engineering Department, Chennai, India – 600 036 (e-mail: swarup@ee.iitm.ac.in).

[PDF]

Cite: K.Jamuna, Member, IACSIT and K.S.Swarup, "Contingency Constrained Optimal Meter Placement for Power System Observability using Biogeography Based Optimization," International Journal of Machine Learning and Computing vol. 1, no. 1, pp. 86-92, 2011.

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