Zobrazeno 1 - 5
of 5
pro vyhledávání: '"D. A. Sekatski"'
Publikováno v:
Izvestiâ Vysših Učebnyh Zavedenij i Ènergetičeskih ob Edinennij SNG. Ènergetika, Vol 67, Iss 5, Pp 411-424 (2024)
One of the directions of development of the electric power industry is decentralization, aimed at improving the reliability of energy supply, reducing losses during transmission of electric energy and ensuring energy independence of consumers. It is
Externí odkaz:
https://doaj.org/article/6d029fad950643bda5771cb20d977333
Autor:
D. A. Sekatski, N. A. Papkova
Publikováno v:
Izvestiâ Vysših Učebnyh Zavedenij i Ènergetičeskih ob Edinennij SNG. Ènergetika, Vol 67, Iss 1, Pp 16-32 (2024)
. It is a very challenging task to correctly use weather data to calculate the active power loss due to corona in overhead power lines. One of the significant reasons for this was the problem of accuracy of determining weather conditions and the use
Externí odkaz:
https://doaj.org/article/591b82c4c6f74ccf8cb94292d0ddffff
Autor:
P. V. Matrenin, A. I. Khalyasmaa, V. V. Gamaley, S. A. Eroshenko, N. A. Papkova, D. A. Sekatski, Y. V. Potachits
Publikováno v:
Izvestiâ Vysših Učebnyh Zavedenij i Ènergetičeskih ob Edinennij SNG. Ènergetika, Vol 66, Iss 4, Pp 305-321 (2023)
Renewable energy sources (RES) are seen as a means of the fuel and energy complex carbon footprint reduction but the stochastic nature of generation complicates RES integration with electric power systems. Therefore, it is necessary to develop and im
Externí odkaz:
https://doaj.org/article/6a4b4bb6e5b844deb8fe1ce5836fbbed
Autor:
P. V. Matrenin, A. I. Khalyasmaa, A. G. Rusina, S. A. Eroshenko, N. A. Papkova, D. A. Sekatski
Publikováno v:
Izvestiâ Vysših Učebnyh Zavedenij i Ènergetičeskih ob Edinennij SNG. Ènergetika, Vol 66, Iss 1, Pp 18-29 (2023)
Currently, the prospects of creating hybrid power assemblies using renewable energy sources, including wind energy, and energy storage systems based on hydrogen energy technologies are being considered. To control such an energy storage system, it is
Externí odkaz:
https://doaj.org/article/eb93869559564c5e98bf7daf07d17560
Autor:
A. M. Bramm, A. I. Khalyasmaa, S. A. Eroshenko, P. V. Matrenin, N. A. Papkova, D. A. Sekatski
Publikováno v:
Izvestiâ Vysših Učebnyh Zavedenij i Ènergetičeskih ob Edinennij SNG. Ènergetika, Vol 65, Iss 4, Pp 341-354 (2022)
The article presents an adaptive genetic algorithm developed by the authors, which makes it possible to optimize the topology of a power network with distributed generation. The optimization was based on bioinspired methods. The objects of the study
Externí odkaz:
https://doaj.org/article/8e794a248d26400a8c4f82098df5b4c4