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Reference: ISH2015_78

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Composite Insulators Profile Optimization Using Particle Swarm Algorithm and Finite Element Method



Insulators are very important element in electric power systems. Composite insulators such as silicone rubber provide an excellent alternative to porcelain and glass in the field of high voltage applications. It has been widely used by power utilities since 1980's owing to their superior contaminant performances. Electric field stress along the insulators profile is one of the most important factors governing the electrical performance of composite insulator. The main objective of this paper is to improve the electric field distribution of composite insulators by reducing the value of maximum electric field strength, in order to enhance its long term performance. This will be done by modifying the dimensions of already exist practical insulators through an efficient optimization technique. This technique combined Particle Swarm Optimization (PSO) algorithm and Finite Element Method (FEM). PSO algorithm has been implemented using MATLAB program, on the other hand, the electric field strength was calculated by using commercial software package COMSOL Multiphysics that is able to calculate the electric field strength in two and three dimensional problems based on the finite element method. Four insulators of 11 kV with different profiles are used as samples for this study. Several parameters such as shed diameter, shed spacing, shed inclination angle, number of sheds, shed arrangement type and end fitting diameter can be used in order to optimize insulator profiles. Attention was paid to optimize some effective parameters in insulators design including shed diameter, shed spacing and metal end fitting diameter. The insulators profile parameters have been checked after optimization according to IEC/TS 60815-3. The obtained results indicated that the maximum value of the electric field strength can be reduced significantly by using the proposed technique. This work is able to provide theoretical support to design and select the profile of composite insulators in order to obtain a better performance.

File Size: 1,4 MB

Pages NB: 6

Year: 2015

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