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Modeling and Simulation in Electrical and Electronics Engineering
Articles in Press
Current Issue
Journal Archive
Volume Volume 2 (2016)
Issue Issue 1
Volume Volume 1 (2015)
Bigdeli, M., Aghajanloo, J., Azizian, D. (2016). Estimation of Moisture in Transformer Insulation Using Dielectric Frequency Response Analysis by Heuristic Algorithms. Modeling and Simulation in Electrical and Electronics Engineering, 2(1), 5-5. doi: 10.22075/mseee.2018.781.1036
Mehdi Bigdeli; Jafar Aghajanloo; Davood Azizian. "Estimation of Moisture in Transformer Insulation Using Dielectric Frequency Response Analysis by Heuristic Algorithms". Modeling and Simulation in Electrical and Electronics Engineering, 2, 1, 2016, 5-5. doi: 10.22075/mseee.2018.781.1036
Bigdeli, M., Aghajanloo, J., Azizian, D. (2016). 'Estimation of Moisture in Transformer Insulation Using Dielectric Frequency Response Analysis by Heuristic Algorithms', Modeling and Simulation in Electrical and Electronics Engineering, 2(1), pp. 5-5. doi: 10.22075/mseee.2018.781.1036
Bigdeli, M., Aghajanloo, J., Azizian, D. Estimation of Moisture in Transformer Insulation Using Dielectric Frequency Response Analysis by Heuristic Algorithms. Modeling and Simulation in Electrical and Electronics Engineering, 2016; 2(1): 5-5. doi: 10.22075/mseee.2018.781.1036

Estimation of Moisture in Transformer Insulation Using Dielectric Frequency Response Analysis by Heuristic Algorithms

Article 5, Volume 2, Issue 1, Winter and Spring 2016, Page 5-5  XML
Document Type: Research Paper
DOI: 10.22075/mseee.2018.781.1036
Authors
Mehdi Bigdeli 1; Jafar Aghajanloo2; Davood Azizian1
1Islamic Azad University
2Iran Transfo Company
Abstract
Transformers are one of the most valuable assets of power systems. Maintenance and condition assessment of transformers has become one of the concerns of researchers due to huge number of transformers has been approached to the end of their lifetimes. Transformer’s lifetime depends on the life of its insulation and the insulation’s life is strongly influenced by its moisture attraction as well. Thus, regarding to the importance of moisture analysis, in this paper a new method is introduced for the moisture content determination in the transformer insulation system. The introduced method uses the dielectric response analysis in the frequency domain based on heuristic algorithms such as genetic algorithm and particle swarm optimization. First, the master curve of the dielectric response is modeled. Afterwards, using the proposed method the master curve and the measured dielectric response curves are compared. By analyzing the comparison results, the moisture content of the paper insulation, electrical conductivity of the insulating oil and the dielectric model dimensions are determined. Finally, the proposed methods are applied to several practical samples and their capabilities are compared to the well-known conventional method.
Keywords
Transformer Insulation; Moisture; Dielectric Frequency Response (DFR); Genetic Algorithm (GA); Particle Swarm Optimization (PSO)
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Article View: 79
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