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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/19009
Title: Optimization of directional overcurrent relay times using laplace crossover particle swarm optimization (LXPSO)
Authors: Deep, K.
Bansal J.C.
Published in: Proceedings of 2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009
Abstract: An important problem in electrical engineering is to determine the optimal directional overcurrent relay times. The problem is modeled as a constrained nonlinear continuous optimization problem in which the decision variables are the devices that control the act of isolation of faulty lines from the system without disturbing the healthy lines. Two models are considered namely IEEE-3 bus system and IEEE-4 bus system. The optimization methodology is the Laplace Crossover Particle Swarm Optimization (LXPSO), which has recently been introduced by the authors. LXPSO uses a new information sharing strategy amongst the particles of the swarm using a new crossover, called Laplace Crossover (LX), based on Laplace distribution. The results obtained by LXPSO are compared with the results available in the literature. It is shown that LXPSO is able to provide superior results in terms of optimality and reliability in comparison to other methods. ©2009 IEEE.
Citation: Proceedings of 2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009, (2009), 288- 293. Coimbatore
URI: https://doi.org/10.1109/NABIC.2009.5393722
http://repository.iitr.ac.in/handle/123456789/19009
Issue Date: 2009
Keywords: Crossover operator
Directional overcurrent relay times
LXPSO
Particle swarm optimization
Bus systems
Continuous optimization problems
Crossover operator
Decision variables
Directional overcurrent relay times
Directional overcurrent relays
Faulty lines
Information sharing strategies
Laplace distributions
Optimality
Optimization methodology
Constrained optimization
Electrical engineering
Laplace transforms
Particle swarm optimization (PSO)
ISBN: 9.78E+12
Author Scopus IDs: 8561208900
57189656835
Author Affiliations: Deep, K., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India
Bansal, J.C., Department of Mathematics, Birla Institute of Technology and Science Pilani, Pilani, India
Corresponding Author: Deep, K.; Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India; email: kusumfma@iitr.ernet.in
Appears in Collections:Conference Publications [MA]

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