Contour optimization of suspension insulators using real coded genetic algorithm with simulated binary crossover

Gunasekaran, S.; Iruthayarajan, M. Willjuice

doi:10.1109/icprime.2013.6496501

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…In [70] real coded genetic algorithm with simulated binary crossover were used for contour optimization of suspension insulators. The optimization criterion was to reach a desired uniform and minimal tangential field to increase the onset voltage of surface flashover.…”

Section: Design and Optimization Methodsmentioning

confidence: 99%

Design of booster shed parameters for improving the electrical performance of post insulators under icing conditions /

Ale-Emran¹

2013

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The optimized design of outdoor insulators that consider heavy icing and pollution conditions is a significant concern for the reliability of power networks. Based on field observations, the probability of flashover of EHV post insulators is higher than line insulators under the same heavy icing conditions. The flashover along the insulators is caused mainly by the presence of a water film on the ice surfaces (melting period) and partial arcs in ice-free zones (air gaps).One of the mitigation options is the use of booster sheds (BSs) to create air gaps along the iced insulator. A booster shed (BS) is a flexible c-shape device made of highquality insulating materials. Since BSs are easy to use, they seem to be simpler alternatives to upgrading insulators to those designed for cold climate regions. Despite the promising results of BS applications, still an important work must be achieved to propose optimized design of BS configurations.This project aims to provide a generic design approach to the use of BSs by optimizing their main parameters (number, diameter, inclination angle, position, and permittivity) on post insulators under heavy icing conditions. This approach is based on analyzing previous BS tests in CEGELE, an improved hypothesis of BS effects, numerical analysis using commercial software (e.g. Comsol Multiphysics™, Matlab, and Minitab), geometric modeling of ice-covered post insulator with BSs, and finally experimental validation tests. IllThe improved hypothesis states that the major effect of BSs is the creation of air gaps and their minor effect is the increase in dry arcing distance. Moreover, among total length of the air gaps, dry arcing distance, and total ice-free leakage distance (IFLD to t), the IFLD to t is a good indicator to quantify the BS effects on standard post insulators. Simulation analyses of BS configurations during the melting period demonstrate that the optimized relative permittivity of BS is an arbitrary value in its feasible variation range (2-15). The

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Section: Design and Optimization Methodsmentioning

confidence: 99%

Design of booster shed parameters for improving the electrical performance of post insulators under icing conditions /

Ale-Emran¹

2013

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Experimental Design of Booster-Shed Parameters for Post Insulators under Heavy Icing Conditions

Ale-Emran

Farzaneh

2015

IEEE Trans. Power Delivery

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Contour optimization of suspension insulators using real coded genetic algorithm with simulated binary crossover

Cited by 2 publications

References 14 publications

Design of booster shed parameters for improving the electrical performance of post insulators under icing conditions /

Design of booster shed parameters for improving the electrical performance of post insulators under icing conditions /

Experimental Design of Booster-Shed Parameters for Post Insulators under Heavy Icing Conditions

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