Construction of the mathematical model of magnetic transmission for an autonomous wind power plant
DOI:
https://doi.org/10.15587/1729-4061.2024.302008Keywords:
magnetic transmission, mathematical modeling, simulation modeling, permanent magnets, electromechanical systemAbstract
The object of research is electromagnetic and mechanical processes in magnetic transmission for an autonomous wind power plant of small power.
The use of magnetic transmission as part of an autonomous wind power plant makes it possible to improve the reliability and efficiency of such a system.
In the current work, a study of magnetic transmission as part of an autonomous wind power plant was carried out to investigate the parameters and characteristics of magnetic transmission.
This paper reports the construction of a numerical simulation mathematical model of a magnetic reducer operating as part of an autonomous wind power plant with a permanent magnet generator. The model takes into account discrete structure of internal and external rotors and modulator; changes in model parameters when input parameters change. It also takes into account losses, change of load angle and electromagnetic moment; the effect of changing the generator load.
The built model of the magnetic reducer system differs in that the change in the generator load leads to a shift of the operating point on the mechanical characteristics of the rotor of the wind power plant (WPP). The model also works in the opposite direction: changes in wind parameters affect power, voltage, current, and electromagnetic moment.
With the help of the model built, the parameters and characteristics of not only the magnetic reducer but also other components of the system were investigated. The efficiency at the output of the electric generator was determined, which is ≈75 % at a load of 2.0 kW. The magnetic transmission moment at a wind speed of 7.8 m/s for the high-speed rotor is 0.91 N∙m, and the low-speed rotor is 7.8 N∙m, which corresponds to a transmission ratio of 8.6. This expands opportunities for exploratory research
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Copyright (c) 2024 Mykhailo Kovalenko, Iryna Kovalenko, Ihor Tkachuk, Mykola Reutskyi, Aaron Harford, Serhiy Zhuk
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