Analysis of the Green Power Transition on Optimal Power Transformer Designs

Authors

  • Tamás Orosz
    Affiliation

    Department of Electric Power Engineering, Budapest University of Techology and Economics, H-1521 Budapest, P.O.B. 91, Hungary

  • Péter Sőrés
    Affiliation

    Department of Electric Power Engineering, Budapest University of Techology and Economics, H-1521 Budapest, P.O.B. 91, Hungary

  • Dávid Raisz
    Affiliation

    Department of Electric Power Engineering, Budapest University of Techology and Economics, H-1521 Budapest, P.O.B. 91, Hungary

  • Ádám Z. Tamus
    Affiliation

    Department of Electric Power Engineering, Budapest University of Techology and Economics, H-1521 Budapest, P.O.B. 91, Hungary

https://doi.org/10.3311/PPee.8583

Abstract

The main intent of the power transformer design optimization in the tendering stage is to find those mechanical and electrical parameters, which minimize the machines’ total cost of the ownership by reducing the different power losses and the manufacturing costs. To find the optimal transformer design parameters and make them harmonize with the economic constraints is a labour intensive task, because these quantities are linked with complex trade-off and physical functions. The capitalization of the load and no-load losses facilitate this process. The focus of this paper is to examine the sensitivity of the design parameters from the capitalization factors. Three different scenarios are presented and analysed in this paper, where the transformers are connected to various stochastic or schedulable green power generation resources. This paper presents the optimal transformer design’s dependency from the various scenarios of different green power generation resources.

Keywords:

Geometric programming; lifetime cost optimization; power transformer; renewable energy sources

Published Online

2015-09-23

How to Cite

Orosz, T., Sőrés, P., Raisz, D., Tamus, Ádám Z. “Analysis of the Green Power Transition on Optimal Power Transformer Designs”, Periodica Polytechnica Electrical Engineering and Computer Science, 59(3), pp. 125–131, 2015. https://doi.org/10.3311/PPee.8583

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Section

Articles