Multi-criteria optimization system for electric drive systems based on synchronous reluctance and induction motors
Автор: Savosteenko N.V., Maksimov N.M., Kushnarev V.A., Sivkova A.P.
Журнал: Вестник Южно-Уральского государственного университета. Серия: Энергетика @vestnik-susu-power
Рубрика: Электротехнические комплексы и системы
Статья в выпуске: 1 т.24, 2024 года.
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The article discusses the use of an energy-efficient electric drive. The proposed solution to the problem is highly relevant due to the increase in demand for energy-efficient equipment in industry due to the growing requirements for the quality of products and the speed of their production. Thus, the main objective is to increase the speed of transient processes of variable systems in regeneration mode, reduce switching losses, assess the maximum possible and permissible overvoltages in the DC link and carry out parametric optimization according to the criterion of the optimal number of phases of a multi-level converter based on synchronous and asynchronous electric motors. Using the example of a pipe rolling mill 5000 (Magnitogorsk Metallurgical Plant PJSC) and a universal rail and beam mill (ChMK PJSC, Chelyabinsk), the article studies the operation of a multi-level frequency converter, instead of existing autonomous voltage inverters. As a result of the study, a decrease in overvoltage on power switches was revealed. Using experimental thermal studies, switching losses were reduced by 25-45 % depending on the rated power. Using a three-level rectifier, the intensity of braking is maintained, which in turn, in the overall cycle, allows reducing the time of braking modes by 2-5 %. The article also considers further research on the optimal number of phases of a semiconductor converter for metallurgical production facilities according to the criterion of maximum probability of failure-free operation.
Electromechanical converter, optimization, mathematical model, synchronous electric motor, induction motor, multilevel converter
Короткий адрес: https://sciup.org/147243012
IDR: 147243012 | DOI: 10.14529/power240104