Optmization of «fuel electric generator – electric motor» system in CAD
DOI:
https://doi.org/10.15587/2312-8372.2017.99919Keywords:
fuel electric generator, slip of asynchronous electric motor, optimization in CAD, global connectivityAbstract
The main problems of computer-aided design of «fuel electric generator – asynchronous electric motor» systems stem from the fact that these systems canєt be considered separately during optimization. Theoretically, the increase in production efficiency due to CAD, which ensures the optimization of equipment parameters for global connectivity, is proved.
A computational model of «fuel electric generator – asynchronous electric motor» system with comparable energy parameters of the source and the consumer, which takes into account the processes that occur not only in the electric motor, but also in the generator is proposed. The concept of a «global connectivity» between the arguments of a projected object as a characteristic of the relationship between the parameters of subsystems is suggested, when such connection dominates over others. In the sense that it is present in the largest number of computational models, in connection with which, its calculation has a decisive influence on the design object as a whole. The method of calculation of «fuel electric generator – asynchronous electric motor» systems in CAD is proposed, in which the intermediate objective function is not one of the consumer qualities of the object, but the nominal global connectivity between the elements of the system.
In Odessa, LLC «Specialized Energetic Enterprise «Energo-KOM» (Ukraine), a CAD test of electrical equipment «OPTIGLOC» is conducted, which is based on the proposed models and methods. As the object of computer-aided design, «diesel generator – asynchronous induction motor» system is used. As a result of the tests it is found that the use of the CAD «OPTIGLOC» allows to reduce the specific fuel consumption in the generator by 5.3 %. At the same time, the service life of the system and the stability of its technical tasks do not change, and the design time is reduced by an average of 13.7 %.
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Copyright (c) 2017 Alexander Stanovskyi, Pavel Shvets, Viktor Bondarenko, Ievgeniia Naumenko, Valid Hussain, Victoria Dobrovolskaya
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