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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Magnetically Nonlinear Iron Core Characteristics of Transformers Determined by Differential Evolution
verfasst von : Gorazd Štumberger, Damir Žarko, Amir Tokic, Drago Dolinar
Erschienen in: Computational Methods for the Innovative Design of Electrical Devices
Verlag: Springer Berlin Heidelberg
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An optimization based method for determining magnetically nonlinear iron core characteristics of transformers is proposed. The method requires a magnetically nonlinear dynamic model of the transformer as well as voltages and currents measured during the switch-on of unloaded transformer. The magnetically nonlinear iron core characteristic is in the model accounted for in the form of three different approximation functions. Their parameters are determined by the stochastic search algorithm called differential evolution. The optimization goal is to find those values of approximation functions parameters where the root mean square differences between measured and calculated currents are minimal. The impact of individual approximation functions on calculated dynamic responses of the transformer are evaluated by the comparison of measured and calculated results.