Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Kurbatsky Victor"'
Publikováno v:
E3S Web of Conferences, Vol 216, p 01020 (2020)
The article deals with the problem of the negative impact of wind farms stochastic generation on power grid. One of the ways to reduce the stochasticity of the wind farms generation is their geographically distributed siting. A technique for sizing a
Externí odkaz:
https://doaj.org/article/853560cf1aa54fb3a1253b6a2cee8f56
Publikováno v:
E3S Web of Conferences, Vol 209, p 02029 (2020)
The paper proposes a concept of building a digital twin based on the reinforcement learning method. This concept allows implementing an accurate digital model of an electrical network with bidirectional automatic data exchange, used for modeling, opt
Externí odkaz:
https://doaj.org/article/d38c02a6b1ec49a2b6bafde2deba54e4
Publikováno v:
E3S Web of Conferences, Vol 139, p 01051 (2019)
In modern power systems, a variety of both objects and the tools of control is expected to be much larger than before. As a result, the dynamic properties of these systems are complicated, and the issues of maintaining stability come to the fore. The
Externí odkaz:
https://doaj.org/article/4583ccdeee0f46d2b2bef82ec1f625fb
Publikováno v:
EPJ Web of Conferences, Vol 217, p 01006 (2019)
When planning and managing the present-day and future transformed electric power systems (EPS), such comparatively new properties as flexibility and cyber resilience shall be taken into account along with EPS conventional properties, such as Reliabil
Externí odkaz:
https://doaj.org/article/3dfad69e9d084eebbe90c1b898180197
Publikováno v:
E3S Web of Conferences, Vol 25, p 03006 (2017)
Forecasting of electric load (EL) is an important task for both electric power entities and large consumers of electricity [1]. Large consumers are faced with the need to compose applications for the planned volume of EL, and the deviation of subsequ
Externí odkaz:
https://doaj.org/article/3b0f15ff10264eed8fa787607e03d916
Year by year control of normal and emergency conditions of up-to-date power systems becomes an increasingly complicated problem. With the increasing complexity the existing control system of power system conditions which includes operative actions of
Externí odkaz:
http://arxiv.org/abs/1805.05408
Autor:
Tomin, Nikita, Shakirov, Vladislav, Kurbatsky, Victor, Muzychuk, Roman, Popova, Ekaterina, Sidorov, Denis, Kozlov, Alexandr, Yang, Dechang
Publikováno v:
In Renewable Energy November 2022 199:1153-1175
Autor:
Tomin, Nikita, Shakirov, Vladislav, Kozlov, Aleksander, Sidorov, Denis, Kurbatsky, Victor, Rehtanz, Christian, Lora, Electo E.S.
Publikováno v:
In Renewable Energy January 2022 183:903-921
Autor:
Zhukov, Alexei, Kurbatsky, Victor, Tomin, Nikita, Sidorov, Denis, Panasetsky, Daniil, Foley, Aoife
One of the most promising approaches for complex technical systems analysis employs ensemble methods of classification. Ensemble methods enable to build a reliable decision rules for feature space classification in the presence of many possible state
Externí odkaz:
http://arxiv.org/abs/1601.01675
Autor:
Kurbatsky, Victor, Tomin, Nikita, Spiryaev, Vadim, Leahy, Paul, Sidorov, Denis, Zhukov, Alexei
A novel hybrid data-driven approach is developed for forecasting power system parameters with the goal of increasing the efficiency of short-term forecasting studies for non-stationary time-series. The proposed approach is based on mode decomposition
Externí odkaz:
http://arxiv.org/abs/1404.2353