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absolute total electron content adaptive control des adaptive control systems adequacy assessment agent model agent modeling aggregation rules artificial intelligence classification classification (of information) computational efficiency concept drift concept drifts control control engineering decision tree decision trees different layers editorial efficiency elec electric machinery electric power system electric power system interconnection electric power systems emergency automatics empiri energy systems ensemble learning flexibility forecasting gradient boosting image analysis inherent characteristics intelligent agents isolated hybrid power systems l-index learning algorithms learning systems machine learning mimo control mimo systems modelling framework monte carlo method multi-agent system nowcasting online systems operational flexibility operations research optimal solutions optimisation optimization pitch control power system power system security power systems mathematical modeling and control problem solving random forest random forests reinforcement learning russian aca security software agents stochastic systems support vector mach support vector machine torque control tradit value engineering volt-var control voltage collapse voltage regulators wind wind power wind ramp prediction wind turbine wind turbines машинное обучение метод монте-карло оценка надежности электроэнергетические системы

   
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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
The development of a joint modelling framework for operational flexibility in power systems

Voropai N., Rehtanz C., Kippelt S., Tomin N., Haeger U., Efimov D., Kurbatsky V., Kolosok I. The development of a joint modelling framework for operational flexibility in power systems // 2019 16th Conference on Electrical Machines, Drives and Power Systems, ELMA 2019 - Proceedings. ID: 8771685. 2019. ISBN (print): 9781728114132. DOI: 10.1109/ELMA.2019.8771685 The TU Dortmund University (Germany) and the Energy Systems Institute of the Russian Academy of Sciences (Russia) launched a joint research...

Теги: artificial intelligence , electric power system , flexibility , machine learning , power system security , electric machinery , electric power systems , learning systems , different layers , energy systems , modelling framework , operational flexibility , russian aca
Раздел: ИСЭМ СО РАН
Russian-Chinese Workshop "Mathematical Modeling of Renewable and Isolated Hybrid Power Systems"

... Optimization Methods in ESI RAS / SEI Ac. Sc. USSR (survey) More talks TBA Apart from Plenary/Section Sessions, the programm will include the Technical Tour to the Corporate Educational and Research Center of JSC "Irkutskenego", round table on Machine Learning & AI, NSFC Project Meeting and International science and technology cooperation program Project Meeting. The scientific tour to the Limnology Museum of RAS (Listvyanka, lake Baikal) is scheduled.

Теги: power systems mathematical modeling and control , forecasting , isolated hybrid power systems , wind ramp prediction , machine learning
Раздел: ИСЭМ СО РАН
Voltage/VAR Control and Optimization: AI approach

... bear, so special attentions are paid to the application of AI techniques in reactive voltage control and a lot of results in this field are obtained by many authors. This paper presents a hybrid Volt/VAr control approach based on AI techniques such as machine learning and multi-agent systems based models. Proposed approach enjoys high efficiency for various scenarios of modified IEEE 6-Bus and 118-Bus test systems. © 2018 входит

Теги: machine learning , multi-agent system , power system , random forest , security , volt-var control , decision trees , intelligent agents , learning systems , value engineering , voltage regulators , inherent characteristics , optimal solutions , random forests , tradit
Раздел: ИСЭМ СО РАН
Использование методов машинного обучения при оценке надёжности электроэнергетических систем методом Монте-Карло

Бояркин Д.А., Крупенев Д.С., Якубовский Д.В. Использование методов машинного обучения при оценке надёжности электроэнергетических систем методом Монте-Карло // Вестник ЮУрГУ. Серия «Математическое моделирование и программирование». Т.11. №4. 2018. C.146-153. DOI: 10/14529/mmp18041 В статье рассматривается вопрос повышения вычислительной эффективности процедуры оценки балансовой надежности электроэнергетических систем при использовании метода статистических испытаний (метод Монте-Карло). При использовании...

Теги: электроэнергетические системы , оценка надежности , метод монте-карло , машинное обучение , electric power systems , adequacy assessment , monte carlo method , machine learning
Раздел: ИСЭМ СО РАН
Machine learning in electric power systems adequacy assessment using Monte-Carlo method

Boyarkin D.A., Krupenev D.S., Iakubovskii D.V. Machine learning in electric power systems adequacy assessment using Monte-Carlo method // Bulletin of the South Ural State University, Series: Mathematical Modelling, Programming and Computer Software. Vol.11. No.4. 2018. P.146-153. DOI: 10.14529/mmp180411 ...

Теги: adequacy assessment , electric power systems , machine learning , monte carlo method
Раздел: ИСЭМ СО РАН
A Suite of Intelligent Tools for Early Detection and Prevention of Blackouts in Power Interconnections

... and Prevention of Blackouts in Power Interconnections // Automation and Remote Control. Vol.79. No.10. 2018. P.1741-1755. DOI: 10.1134/S0005117918100016 We propose a suite of intelligent tools based on the integration of methods of agent modeling and machine learning for the improvement of protection systems and emergency automatics. We propose an online approach to the assessment and management of dynamic security of electric power systems (EPS) with the use of a streaming modification of the random ...

Теги: agent modeling , electric power systems , emergency automatics , l-index , machine learning , voltage collapse , artificial intelligence , decision trees , electric power system interconnection , learning systems , online systems , software agents , agent model , elec
Раздел: ИСЭМ СО РАН
Selecting the key control parameters for the ionospheric total electron content nowcasting

... dynamics of ionospheric parameters is an actual and at the same time rather complicated task. One of the main issues is the selection of control parameters for constructing accurate predictive model (feature selection). The approach is based on the machine learning technology for this problem solution. The vertical absolute total electron content (TEC) with a time resolution of 30 minutes is used as experimental data. The data were obtained using phase and group measurements of TEC at the mid-latitude ...

Теги: absolute total electron content , gradient boosting , machine learning , nowcasting , random forest , support vector machine
Раздел: ИСЭМ СО РАН
Editorial for special issue on methods of optimization and their applications

... Russian Academy of Sciences from July 31 to August 6, 2017. This special issue contains some extended talks of the school-seminar, highlighting theoretical and applied results aimed to show the use of the state-of-the-art operations research methods and machine learning technologies in various applications. © 2018 [International Journal of Artificial Intelligence]. нет

Теги: editorial , machine learning , operations research , optimization
Раздел: ИСЭМ СО РАН
Machine learning in electric power systems adequacy assessment using Monte-Carlo method

Boyarkin D.., Krupenev D.S., Iakubovskiy D.., Sidorov D.N. Machine learning in electric power systems adequacy assessment using Monte-Carlo method // Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017. ID: 8109871. P.201-205. ISBN (print): 9781538615966....

Теги: adequacy assessment , electric power systems , machine learning , monte carlo method , random forest , support vector machine , artificial intelligence , computational efficiency , decision trees , efficiency , learning systems , problem solving , support vector mach
Раздел: ИСЭМ СО РАН


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