This article investigates the inaccuracies of identifying parameters for a single-phase transformer. In addition, in this article, two new transformer parameter estimation algorithms based on recently developed optimization techniques, as well as an objective function, are proposed for the transformer parameter estimation to improve the estimation process and prevent inaccuracies and parameters mismatch with real parameters of the transformer. The proposed algorithms utilize manta ray foraging optimization and chaotic manta ray foraging optimization methods for the estimation of transformer parameters. Unlike the previously proposed methods in the literature, the proposed objective function in this article includes no-load losses in the estimation process. For the matter of comparison, the estimated parameters obtained by using the proposed optimization techniques and objective function are compared with the corresponding values obtained using the classical test procedure recommended by IEEE, as well as with the corresponding values obtained using the previously introduced methods in the literature. The usage of the proposed objective function guarantees the representation of the real copper and no-load losses in the estimated transformer parameters and ensures that the estimated transformer output characteristics are in very good agreement with the experimentally obtained curves. To prove the effectiveness of the proposed parameter estimation algorithms, experimental parameters identification tests are implemented, and the experimentally identified transformer parameters are compared with the estimated parameters and their correlation is studied.

中文翻译：

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单相变压器参数估算的注意事项

本文研究了识别单相变压器参数的不准确性。此外，在本文中，基于最近开发的优化技术和目标函数，提出了两种新的变压器参数估计算法用于变压器参数估计，以改进估计过程并防止不准确和参数与实际参数不匹配。变压器。所提出的算法利用蝠鲼觅食优化和混沌蝠鲼觅食优化方法来估计变压器参数。与之前在文献中提出的方法不同，本文提出的目标函数包括估计过程中的空载损耗。为了比较，通过使用所提出的优化技术和目标函数获得的估计参数与使用 IEEE 推荐的经典测试程序获得的相应值进行比较，以及与使用之前介绍的文献方法获得的相应值进行比较。所提出的目标函数的使用保证了在估计的变压器参数中真实铜损和空载损耗的表示，并确保估计的变压器输出特性与实验获得的曲线非常吻合。为了证明所提出的参数估计算法的有效性，进行了实验参数识别测试，