Application of PSO algorithm in transformer parameter estimation
In this paper, the determination of transformer parameters, by the use of Particle Swarm Optimization (PSO) algorithm, is presented. Estimated parameters of equivalent circuit are found as the result of error minimization between estimated and measured load data. In order to determine the unknown ci...
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Veröffentlicht in: | Tehnika (Beograd) 2019, Vol.74 (2), p.251-257 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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Zusammenfassung: | In this paper, the determination of transformer parameters, by the use of Particle Swarm Optimization (PSO) algorithm, is presented. Estimated parameters of equivalent circuit are found as the result of error minimization between estimated and measured load data. In order to determine the unknown circuit parameters, the values of primary and secondary current are used, along with the secondary voltage values. The results obtained through PSO method are compared with the results obtained through the use of classical methods for transformer parameter determination, which are based on open-circuit and short-circuit tests. At the end, it is concluded that PSO method represents a very efficient method for transformer parameters determination. |
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ISSN: | 0040-2176 2560-3086 |
DOI: | 10.5937/tehnika1902251M |