The task of reducing power losses in electrical networks to technically and economically justified values remains relevant. One of the most effective measures is to reduce no-load losses in power transformers of step-down substations, increase efficiency by reducing losses in a group of transformers. The efficiency of a transformer is maximum when the load reaches the level (called effective load level) at which the losses in the windings (electrical losses) are equal to the losses in the core (magnetic losses) [1]. To reduce losses, it is advisable to increase the load factor of transformers to the effective level by disconnecting some of the transformers and switching the load to the remaining transformers. The use of an adaptive method for predicting the trend of a load curve is discussed. The method is based on decision-making criteria in the statistical detection theory used for automatic disconnection of power transformers. It is necessary to predict the trend of a load curve to decide whether it is reasonable to disconnect some of the transformer capacity of the substation.
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Translated from Élektricheskie Stantsii, No. 8, August 2022, pp. 46 – 55. https://doi.org/10.34831/EP.2022.1093.8.007
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Kulikov, A.L., Voroshilov, A.A. Predicting Changes in the Load Curve for Automatic Disconnection of Power Transformers. Power Technol Eng 56, 779–787 (2023). https://doi.org/10.1007/s10749-023-01587-9
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DOI: https://doi.org/10.1007/s10749-023-01587-9