Indian Journal of Science and Technology

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Transformer Winding Parameter Identification Based on Frequency Response Analysis Using Hybrid Wavelet Transform (WT) and Simulated Annealing Algorithm (SA) and Compare with Genetic Algorithm (GA)


Affiliations
1 Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Arak, Iran, Islamic Republic of
2 Electrical Engineering Department, Karaj Branch, Islamic Azad University, Karaj, Iran, Islamic Republic of
3 Faculty of Electrical Engineering, Arak Technology University, Arak, Iran, Islamic Republic of
 

Frequency response analysis method is used for certain evaluating and monitoring of the winding displacement and deformation of transformer core to detect incipient faults. Frequency response analysis is based on the graphical analysis and comparison of the current measured transfer function with a base current. In this paper we use compound of haar wavelet transform and intelligent Simulated Anealing Algorithms (SA) and finally we compare the achieved parameters with Genetic Algorithm (GA).

Keywords

Frequency Response Analysis, Haar Wavelet Transform, Genetic Algorithm, Simulated Annealing, Transformers Winding Parameter Identification, Traveling Wave Model
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  • Transformer Winding Parameter Identification Based on Frequency Response Analysis Using Hybrid Wavelet Transform (WT) and Simulated Annealing Algorithm (SA) and Compare with Genetic Algorithm (GA)

Abstract Views: 238  |  PDF Views: 0

Authors

Sajad Bagheri
Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Arak, Iran, Islamic Republic of
Reza Effatnejad
Electrical Engineering Department, Karaj Branch, Islamic Azad University, Karaj, Iran, Islamic Republic of
Abolfazl Salami
Faculty of Electrical Engineering, Arak Technology University, Arak, Iran, Islamic Republic of

Abstract


Frequency response analysis method is used for certain evaluating and monitoring of the winding displacement and deformation of transformer core to detect incipient faults. Frequency response analysis is based on the graphical analysis and comparison of the current measured transfer function with a base current. In this paper we use compound of haar wavelet transform and intelligent Simulated Anealing Algorithms (SA) and finally we compare the achieved parameters with Genetic Algorithm (GA).

Keywords


Frequency Response Analysis, Haar Wavelet Transform, Genetic Algorithm, Simulated Annealing, Transformers Winding Parameter Identification, Traveling Wave Model



DOI: https://doi.org/10.17485/ijst%2F2014%2Fv7i5%2F54102