Estimation of economic damage in the difference of the transformer loading factor | Научно-инновационный портал СФУ

Estimation of economic damage in the difference of the transformer loading factor

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Conference on Advances in Material Science and Technology, CAMSTech 2020

Год издания: 2020

Идентификатор DOI: 10.1088/1757-899X/919/6/062007

Аннотация: The article considers a method to determine the optimal load of a power transformer. A method for estimation economic damage in case of deviation of the load factor of the transformer has been developed. According to the proposed method, the optimal load factor of the power transformer was determined according to the criterion of the minimum cost of money for the transformation of electric energy. The load level of power transformers can be estimated by two criteria, i.e., by the maximum integral value of the efficiency and by the minimum loss of funds during the transformation of electricity. According to the proposed methodology, the damage was estimated when the load factor of the transformer deviated from the optimal values. For this, the relative losses of electrical energy were calculated. The results obtained, from the point of view of energy and financial and economic efficiency, show that when the load factor is overestimated relative to the optimal values, it is much more preferable to overestimate them than to underestimate them. © Published under licence by IOP Publishing Ltd.

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Издание

Журнал: IOP Conference Series: Materials Science and Engineering

Выпуск журнала: Vol. 919, Is. 6

Номера страниц: 62007

ISSN журнала: 17578981

Издатель: IOP Publishing Ltd

Персоны

  • Lukovenko A.S. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsky rabochy Av., 31, Krasnoyarsk, 660014, Russian Federation, Branch of JSC FGC UES Krasnoyarsk Enterprise MES Siberia, 105/5, Pogranichnikov, Krasnoyarsk, 660111, Russian Federation)
  • Radionov T.V. (Siberian Federal University, Svobodny pr., 79, Krasnoyarsk, 660041, Russian Federation)
  • Kukartsev V.V. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsky rabochy Av., 31, Krasnoyarsk, 660014, Russian Federation, Siberian Federal University, Svobodny pr., 79, Krasnoyarsk, 660041, Russian Federation)
  • Testoyedov N.A. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsky rabochy Av., 31, Krasnoyarsk, 660014, Russian Federation, JSC Academician M F Reshetnev Information Satellite Systems, 52 Lenin street, Zheleznogorsk, Krasnoyarsk region, 662972, Russian Federation)
  • Karaseva M.V. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsky rabochy Av., 31, Krasnoyarsk, 660014, Russian Federation, Siberian Federal University, Svobodny pr., 79, Krasnoyarsk, 660041, Russian Federation)

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