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Optimal design of corona ring in composite insulator considering the effects of tower structure, conductor, hardware and mutual phases.
- Source :
-
Electric Power Systems Research . Oct2023, Vol. 223, pN.PAG-N.PAG. 1p. - Publication Year :
- 2023
-
Abstract
- • 3D modeling of 230 kV composite insulator and corona ring in COMSOL software. • 3D Modeling of the tower structure, conductor, hardware, and mutual phases and investigating their effects on the EFI distribution of the creepage distance of the composite insulator in COMSOL software. • Determining the ideal corona ring parameters, such as the diameter, thickness, and installation position. • The use of DFSs such as NM and BOBYQA algorithms in COMSOL optimization software. One of the key elements in lowering the electric field intensity (EFI) on the creepage distance of composite insulators is the usage of the corona ring and its ideal design. First, using the Finite Element Method (FEM) in the 3D COMSOL Multiphysics program, this paper investigated and calculated the changes in the EFI of the creepage distance of the 230-kV composite insulator with and without taking into account the effects of the corona ring, tower structure, conductor, hardware, and mutual phases. Next, the ideal goal function is chosen in order to minimize the insulator creepage distance's maximal EFI. Nelder-Mead (NM) and Bound Optimization by Quadratic Approximation (BOBYQA), two optimization techniques, are used for the best design of corona ring parameters on the 230 kV insulator. Finally, the diameter, thickness, and installation position of the ideal corona ring are determined using the suggested methodologies and different restrictions. The obtained results demonstrate that, in contrast to previous studies that have only focused on a few of the aforementioned constraints, taking into account the tower structure, conductor, hardware, and mutual phases will have a significant impact on the distribution of the EFI on the insulator creepage distance. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03787796
- Volume :
- 223
- Database :
- Academic Search Index
- Journal :
- Electric Power Systems Research
- Publication Type :
- Academic Journal
- Accession number :
- 169873693
- Full Text :
- https://doi.org/10.1016/j.epsr.2023.109686