Design of the Active Part of a Power Transformer Using Genetic Algorithms for the minimization of losses
Abstract
This work deals with the problem of optimizing the design of the active part of a three-phase power transformer, for a power range of 10 MVA and 115 / 13.8 kV core type and disk windings. The objective is to determine a design that meets the lowest total cost of owning considering the loss evaluation. This is a typical problem faced by transformer manufacturers during the bidding stage where they must offer in a short time a design that minimizes the cost of acquisition, which is composed of the cost of materials plus the operation cost monetary loss. That is why the optimization problem is built by these two factors that act as opposing forces. The method of Genetic Algorithms (AG) is reported for the implementation of the optimization to the model of the active part that calculates dimensions, mass of the core, windings, losses in the nucleus and impedance of the transformer. This work is showing that the design parameters are found that minimize the cost function and fulfill with the restrictions specified.
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References
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