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No-load loss calculation of distribution transformers supplied by nonsinusoidal voltage using three-dimensional finite element analysis

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  • Yazdani-Asrami, Mohammad
  • Mirzaie, Mohammad
  • Shayegani Akmal, Amir Abbas

Abstract

Transformers are basically designed to operate under nominal voltage, rated frequency and also, pure sinusoidal load current. In recent decade, change in the type of loads and increasing use of power electronic devices with their nonsinusoidal current waveform has distorted the system voltage waveform as well. The losses of transformers include load and no-load losses. No-load loss continuously led to loss of energy in transformers that are connected to the network in all 24 h. With respect to high significance of energy and undesirable impacts of losses on the aging of transformers, the no-load loss is considered as a critical factor. Nowadays, it is necessary to apply a suitable method for calculation of no-load loss in presence of the voltage harmonics and over-excite conditions, especially for distribution transformers, as a result of harmonic increase in the voltage and current in the network and particular applications. In this paper, Finite Element Method (FEM) has been used to simulate nonsinusoidal voltage effects on no-load loss of transformers. Such simulation enables the software to simulate and analyze different electromagnetic parameters such as flux lines, flux density, losses, and etc under different input sources and with high accuracy. In addition, effect of nonsinusoidal voltages on no-load loss has been investigated by a typical experimental transformer using several practical tests.

Suggested Citation

  • Yazdani-Asrami, Mohammad & Mirzaie, Mohammad & Shayegani Akmal, Amir Abbas, 2013. "No-load loss calculation of distribution transformers supplied by nonsinusoidal voltage using three-dimensional finite element analysis," Energy, Elsevier, vol. 50(C), pages 205-219.
  • Handle: RePEc:eee:energy:v:50:y:2013:i:c:p:205-219
    DOI: 10.1016/j.energy.2012.09.050
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    1. Hocine, Labar & Yacine, Djeghader & Kamel, Bounaya & Samira, Kelaiaia Mounia, 2009. "Improvement of electrical arc furnace operation with an appropriate model," Energy, Elsevier, vol. 34(9), pages 1207-1214.
    2. Pezzini, Paola & Gomis-Bellmunt, Oriol & Frau-Valentí, Joan & Sudrià-Andreu, Antoni, 2010. "Energy efficiency optimization in distribution transformers considering Spanish distribution regulation policy," Energy, Elsevier, vol. 35(12), pages 4685-4690.
    3. Georgilakis, Pavlos S., 2011. "Environmental cost of distribution transformer losses," Applied Energy, Elsevier, vol. 88(9), pages 3146-3155.
    4. Choudhry, M.A. & Rahman, S., 1995. "Generic algorithm to select building-lighting technologies for minimizing total harmonic distortion," Energy, Elsevier, vol. 20(10), pages 1027-1036.
    5. Seeto, Dewey & He, Shu-Dong & Woo, Chi-Keung, 1995. "Pricing electric harmonics," Energy, Elsevier, vol. 20(7), pages 617-621.
    6. Esmaili, Masoud & Ali Shayanfar, Heidar & Jalilian, Alireza, 2008. "Modal analysis of power systems to mitigate harmonic resonance considering load models," Energy, Elsevier, vol. 33(9), pages 1361-1368.
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