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Taxonomy research of artificial intelligence for deterministic solar power forecasting

Wang H., Liu Y., Zhou B., Li C., Cao G., Voropai N., Barakhtenko E. Taxonomy research of artificial intelligence for deterministic solar power forecasting // Energy Conversion and Management. Vol.214. ID: 112909. 2020. DOI: 10.1016/j.enconman.2020.112909 With the world-wide deployment of solar energy for a sustainable and renewable future, the stochastic and volatile nature of solar power pose significant challenges to the reliable, economic and secure operation of electrical energy systems. It...

Теги: artificial intelligence , photovoltaic power generation , solar power forecast , taxonomy , deep learning , solar energy , stochastic systems , taxonomies , application scenario , electrical energy systems , energy prediction , future research directions , nonlinear
Раздел: ИСЭМ СО РАН
The assessment of integration effects accounting the stochasticity of wind and solar power plants generation in the Asian Power Grid

Trofimov L., Trofimov I. The assessment of integration effects accounting the stochasticity of wind and solar power plants generation in the Asian Power Grid // E3S Web of Conferences. Vol.139. ID: 01068. 2019. 5 p. DOI: 10.1051/e3sconf/201913901068 Electricity generation by wind and solar power plants (WPP and SPP) is characterized by the uncertainty of the time and generation volumes, and does not correlate with the demand determined by the graph of daily electric load. By using of the ORIRES...

Теги: electric power plants , integration , solar energy , solar power generation , solar power plants , stochastic models , stochastic systems , electricity generation , model solution , optimization modeling , powe
Раздел: ИСЭМ СО РАН
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 help increase energy capture efficiency and reduce structural loading. However, to fulfill the modern wind turbine control demands with contradicting requirements (efficiency...

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
Optimal Power Flow Calculation Using BFGS-Based Optimisation Scheme

Domyshev A., Sidorov D., Panasetsky D., Sun Y., Ju P., Wu F. Optimal Power Flow Calculation Using BFGS-Based Optimisation Scheme // 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings. ID: 8582375. 2018. P.1-6. ISBN (print): 9781538685495. DOI: 10.1109/EI2.2018.8582375 The problem of optimal power flow is considered. The method of search of an optimal mode from the point of view of both minimised production and transmission costs is proposed. Proposed optimisation...

Теги: optimal power flow , optimisation , power system modeling , power system stability , renewable energy sources , acoustic generators , electric power transmission , global optimization , renewable energy resources , stochastic systems , system stability , optimal pow
Раздел: ИСЭМ СО РАН


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