Abstract
The article discusses the development of an intellectual control system for an electric power converter (OnGrid Inverter) of an energy complex based on a micro-gas turbine and a high-speed electric generator. Viewed energy complex is designed for operation in the power supply system with distributed generation. Therefore, the intelligent control system of the OnGrid Inverter must provide an analysis of the generation and consumption balance in the electrical grid, distribute electricity production between sources, and ensure high quality of electricity. The article describes the structure and principle of the OnGrid Inverter synchronization system with the electrical grid. Regulation principle described, shows the structure of the OnGrid Inverter intellectual control system. An example of intellectual power supply control system consisting of two OnGrid inverters and a load connected to an external electrical grid is considered. The results showed the correctness of the above article the approach to the formation of a OnGrid Inverter intellectual control system.
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Acknowledgements
The work is done by the authors as part of the agreement No 14.604.21.0174 about subsidizing dated 26.09.2017. The topic is “Development of scientific and technical solutions for the design of efficient high-speed generator equipment for a gas micro turbine” by order of the Ministry of Education and Science of the Russian Federation, Federal Targeted Programme (FTP) “Researches and developments in accordance with priority areas of Russian science and technology sector evolution for 2014 – 2020 years”. The unique identity code of applied researches (the project) is RFMEFI60417X0174.
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Kolpakhchyan, P.G., Stýskala, V., Shaikhiev, A.R., Kochin, A.E., Podbereznaya, M.S. (2019). Grid-Tie Inverter Intellectual Control for the Autonomous Energy Supply System Based on Micro-gas Turbine. In: Abraham, A., Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18). IITI'18 2018. Advances in Intelligent Systems and Computing, vol 875. Springer, Cham. https://doi.org/10.1007/978-3-030-01821-4_42
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DOI: https://doi.org/10.1007/978-3-030-01821-4_42
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