Semnan University Press Journal of Modeling and Simulation in Electrical and Electronics Engineering 2821-0786 1 1 2021 05 01 Estimation of Moisture in Transformer Insulation Using Dielectric Frequency Response Analysis by Heuristic Algorithms 27 35 2829 10.22075/mseee.2018.781.1036 EN Mehdi Bigdeli Islamic Azad University Jafar Aghajanloo Iran Transfo Company Davood Azizian Islamic Azad University Journal Article 2015 04 24 <strong>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 a 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 the importance of moisture analysis, in this paper, a new method is introduced for 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. Afterward, 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, the 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.</strong> https://mseee.semnan.ac.ir/article_2829_66ea0087df4c494828261e621cbeec4d.pdf