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Issue title: Digital transformation through advances in artificial intelligence and machine learning
Guest editors: Hasmat Malik, Gopal Chaudhary and Smriti Srivastava
Article type: Research Article
Authors: Tabrez, Mda; * | Sadhu, Pradip Kumara | Iqbal, Atifb | Husain, Mohammed Aslamc | Bakhsh, Farhad Ilahid | Singh, S. P.c
Affiliations: [a] Department of Electrical Engineering, IIT(ISM), Dhanbad, Jharkhand, & *MCE, Motihari India | [b] Department of Electrical Engineering, Qatar University, Doha-Qatar | [c] Department of Electrical Engineering, Rajkiya Engineering College, Ambedkar Nagar, UP, India | [d] Department of Electrical Engineering, NIT Srinagar, J&K, India
Correspondence: [*] Corresponding author. Md Tabrez, Department of Electrical Engineering, IIT(ISM), Dhanbad, Jharkhand, & *MCE, Motihari India. E-mail: [email protected].
Abstract: Impedance mismatching between different phases of a multiphase transformer is generally observed e.g., in a three-phase to seven-phase transformer, due to an unequal number of turns in different coils. This mismatching introduces error in the study of per phase equivalent circuit diagrams as well as induces an imbalance in output voltages and currents. Therefore, it is a challenging task to develop a per-phase equivalent circuit for the secondary and primary sides (In some cases) too. This paper proposes an artificial intelligence optimization technique like PSO based modeling of the per-phase equivalent circuit of the secondary side. This paper deals with the modeling and simulation of a three-phase to seven-phase power transformer using Artificial Intelligence technique like particle swarm optimization (PSO) and Genetic Algorithm (GA). The proposed model is optimized through PSO and GA algorithms and tested for minimum voltage error in each phase. The proposed model is designed and the objective function is optimized by PSO & GA in MATLAB environment. It is found that the optimized model can be effectively implemented as a per-phase equivalent circuit for the secondary side.
Keywords: Genetic algorithm, multiphase, particle swarm optimization, transformer, seven-phase
DOI: 10.3233/JIFS-189741
Journal: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 2, pp. 689-698, 2022
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