Indirect temperature protection of an asynchronous generator by stator winding resistance measurement with superimposition of high-frequency pulse signals
DOI:
https://doi.org/10.15587/1729-4061.2024.302872Keywords:
asynchronous generator, indirect thermal protection, simulation model, stator resistance, constant current componentsAbstract
The article deals with the indirect methods for calculating the temperature of asynchronous generators with the introduction of a pulse component in the power supply circuit of the stator windings of asynchronous generators with squirrel-cage rotor. The relevance of this issue is determined by the need to improve asynchronous energy converters to increase their reliability and safety.
The object of the study is an asynchronous generator with squirrel-cage rotor, which consume 40 % of the total electricity generated, and are the most affordable. One of the dangerous modes of asynchronous generators is their overheating as a result of increased currents and temperatures.
The thermal protection of the stator winding of asynchronous generators relies primarily on measuring or determining the winding temperature.
An indirect method for determining temperature based on measuring the resistance of the stator of an asynchronous generator with squirrel-cage rotor is proposed. The method is based on superimposing pulse signals of small amplitude and high frequency of 600 Hz on an alternating sinusoidal voltage with a frequency of 50 Hz. A simulation model for a 3 kW asynchronous generator has been developed. There were given the simulation results. The estimated values of the active resistances of the stator can be used to indirectly determine the temperature of the windings in thermal protection devices of asynchronous generators, as well as for control, monitoring and diagnostics of the technical condition. The research results confirm the possibility of indirect temperature determination and the creation of a thermal protection system for asynchronous energy converters based on the use of estimation methods.
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Copyright (c) 2024 Gulim Nurmaganbetova, Sultanbek Issenov, Vladimir Kaverin, Gennady Em, Gibrat Asainov, Zhanara Nurmaganbetova, Yuliya Bulatbayeva, Ruslan Kassym
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