Estimation of the Equivalent Circuit Parameters in Transformers Using Evolutionary Algorithms

نویسندگان

چکیده

The conventional methods of parameter estimation in transformers, such as the open-circuit and short-circuit tests, are not always available, especially when transformer is already operation its disconnection impossible. Therefore, alternative (non-interruptive) have become great importance. In this work, no-interruption, equivalent circuit presented using following metaheuristic optimization methods: genetic algorithm (GA), particle swarm (PSO) gravitational search (GSA). These algorithms provide a maximum average error 12%, which twice better results found literature for parameters transformers at frequency 50 Hz. This demonstrates that proposed GA, PSO GSA can be applied to estimate single-phase distribution power with reasonable degree accuracy.

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ژورنال

عنوان ژورنال: Mathematical and computational applications

سال: 2023

ISSN: ['1300-686X', '2297-8747']

DOI: https://doi.org/10.3390/mca28020036