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Parameter Estimation of Single Phase Core Type Transformer Using Bacterial Foraging Algorithm

机译:基于细菌觅食算法的单相铁心型变压器参数估计

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The electrical circuit equivalents of magnetic device structures such as transformer require an exact knowledge of its parameters. Efficient parameter estimation technique is essential to obtain the equivalent circuit parameters of transformer because the parameters are used to manipulate parasitic elements and to obtain the enhanced circuit performance. In this paper, Bacterial Foraging Algorithm (BFA) has been applied to estimate the equivalent circuit parameters of single phase core type transformer. The information of open Circuit (OC) and Short Circuit (SC) tests has been utilized in BFA algorithm. The effectiveness of the proposed approach has been tested with a sample transformer and the simulation results are compared against the conventional method. The numerical results show that the proposed approach outperforms the conventional method in the aspects of solution quality.
机译:磁性设备结构(如变压器)的等效电路要求对其参数有确切的了解。有效的参数估计技术对于获得变压器的等效电路参数至关重要,因为这些参数用于操纵寄生元件并获得增强的电路性能。本文采用细菌觅食算法(BFA)估算单相铁心型变压器的等效电路参数。 BFA算法已利用了开路(OC)和短路(SC)测试的信息。该方法的有效性已通过样本变压器进行了测试,并将仿真结果与传统方法进行了比较。数值结果表明,该方法在求解质量方面优于传统方法。

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