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Modelling energy systems of Vietnam with integration of renewable power sources

Edelev A.V., Karamov D.N., Sidorov I.A., Binh D.V., Nam N.H., Anh N.H., Duy P.V., Hanh P.T. Modelling energy systems of Vietnam with integration of renewable power sources // CEUR Workshop Proceedings. Vol.2430. 2019. P.42-50. The paper addresses the research of the large-scale penetration of renewable energy into the power system of Vietnam. The proposed approach presents the optimization of operational decisions in different power generation technologies as a Markov decision process. It uses a...

Теги: control systems , distributed computer systems , markov processes , reinforcement learning , renewable energy resources , stochastic systems , market condition , markov decision processes , operational decisi
Раздел: ИСЭМ СО РАН
Intelligent control of a wind turbine based on reinforcement learning

Tomin N., Kurbatsky V., Guliyev H. Intelligent control of a wind turbine based on reinforcement learning // 2019 16th Conference on Electrical Machines, Drives and Power Systems, ELMA 2019 - Proceedings. ID: 8771645. 2019. ISBN (print): 9781728114132. DOI: 10.1109/ELMA.2019.8771645 Advanced controllers of modern wind turbines can ...

Теги: control , mimo control , pitch control , reinforcement learning , torque control , wind turbine , adaptive control systems , control engineering , electric machinery , machine learning , mimo systems , stochastic systems , wind , wind turbines , adaptive control des
Раздел: ИСЭМ СО РАН


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