Application of Neuro-Fuzzy Control Systems for Increasing the Energy Efficiency of Wind Turbines : доклад, тезисы доклада

Zubova Natalia V.; Achitaev Andrey A.

Дополнительные ссылки: eLibrary · Источник статьи

База данных: Каталог библиотеки СФУ

Библиографическое описание: Application of Neuro-Fuzzy Control Systems for Increasing the Energy Efficiency of Wind Turbines : доклад, тезисы доклада / Natalia V. Zubova, Andrey A. Achitaev. - [S. l. : s. n.], 2018. - Текст : непосредственный // ACTUAL PROBLEMS OF ELECTRONIC INSTRUMENT ENGINEERING (APEIE) - PROCEEDINGS APEIE - 2018 : 14TH INTERNATIONAL SCIENTIFIC-TECHNICAL CONFERENCE / ACTUAL PROBLEMS OF ELECTRONIC INSTRUMENT ENGINEERING (APEIE) - PROCEEDINGS APEIE - 2018 (2018 ; 02.10 - 06.10 ; Novosibirsk) : Новосибирский государственный технический университет, 2018. - Volume 1, Part 5. - P. 518-521. - ISBN 9785778236158, DOI 10.1109/APEIE.2018.8546210.

Аннотация: Wind has the variable nature and possesses a huge amount of available energy to be transformed into the usable energy with the desired maximum efficiency. Therefore, forecasting of wind turbine power generation, increasing of energy efficiency and optimization of wind turbine power output are of great importance. Modernization of wind turbine control systems stimulates solution of these problems, including the development of systems based on artificial intelligence and computer technologies. Now, special hybrid systems developed with the use of neural networks and fuzzy logic are popular. Combination of these methods of finding optimal solutions is used for modernizing control systems. It includes benefits of fuzzy logic and neural networks and hides their drawbacks, thus having the following main advantages: clear knowledge representation, retraining in the case of changing the input values. On the one hand, these models of control systems can be developed in the form of demonstrative and understandable fuzzy production rules. On the other hand, these rules are produced with the help of methods of neural networks that is more convenient and not so difficult to calculate with the possibility of self-learning. The paper presents the simulation results for the neuro-fuzzy controller integrated into the rotor speed control system for the wind turbine wheel. Obtained results have shown that combination of fuzzy logic and neural networks allows optimizing the WT output power that directly influences on its efficiency.

Год издания: 2018

Авторы: Zubova Natalia V. , Achitaev Andrey A.

Издательство: Новосибирский государственный технический университет

Выпуск: Volume 1, Part 5

Мероприятие: ACTUAL PROBLEMS OF ELECTRONIC INSTRUMENT ENGINEERING (APEIE) - PROCEEDINGS APEIE - 2018 (Novosibirsk, 2018 ; 02.10 - 06.10)

Номера страниц: 518-521

Держатель оригинала документа: Novosibirsk State Technical University

Количество экземпляров:

Твёрдая копия издания отсутствует в фонде библиотеки

Показать дополнительные сведения

Increasing the efficiency of energy generation at Krasnoyarsk CHP-2 by utilization of waste heat : доклад, тезисы…

Karabarin D. и др.
2018 год

Energy efficiency improvement of 0.4 kV power supply systems in the far North districts : доклад, тезисы доклада,…

Dresvianskii E. и др.
2019 год

A Model of Reliability Optimization of a Stand-Alone Electric Power System with Constraints on… : научное издание

Perzhabinsky Sergej M. и др.
2021 год

Application of fuzzy logic methods to modeling of the process of controlling complex technical systems : доклад,…

Beckel L.S. и др.
2019 год

Application of Digital Technologies for Expansion Planning of Integrated Energy Systems : доклад, тезисы доклада

Stennikov V.A. и др.
2020 год

Application of fuzzy set theory in the distribution of information flows of a network information… : статья из журнала

Rubtsov A.V. и др.
2021 год

Application of electromagnetic continuous variable transmission in hydraulic turbines to increase… : статья из журнала

Achitaev A.A. и др.
2022 год

Reliability Evaluation Method of the Wind-Diesel Installation with Application of Dynamic Fault Tree : научное издание

Tremyasov Vladimir A. и др.
2017 год

Organization of Virtual Inertia Control of a Wind Power Plant Operating in the Network with a Predominant Content of…

Achitaev Andrei A. и др.
2023 год

Renewable Energy Sources as Part of the Auxiliary Network of Small and Micro Hydropower Plants : доклад, тезисы…

Achitaev A.A. и др.
2021 год

МОДЕЛИРОВАНИЕ ВХОДНЫХ ХАРАКТЕРИСТИК ГИДРОТУРБИНЫ ТУРБИНЫ С ПРИМЕНЕНИЕМ?НЕЧЕТКОЙ ЛОГИКИ? : доклад, тезисы доклада

Негодина А.С. и др.
2020 год

Modeling the building energy management system of a building using a revised approach of fuzzy… : статья из журнала

Mpelogianni V. и др.
2019 год

ОЦЕНКА ПРОБЛЕМ НАДЕЖНОСТИ ГИБРИДНЫХ СИСТЕМ ВЫРАБОТКИ ЭЛЕКТРОЭНЕРГИИ ? : доклад, тезисы доклада

Храмцова А.П. и др.
2019 год

Self-Configuring Evolutionary Algorithms Based Design of Hybrid Interpretable Machine… : доклад, тезисы доклада

Sherstnev P. A.
2022 год

Researching application of fuzzy controller in systems grade and slope control for asphalt paver : доклад, тезисы…

Prokopiev A.P. и др.
2013 год

The energy saving technology of a photovoltaic system’s control on the basis of the fuzzy selective… : научное издание

Engel E.A. и др.
2016 год

Библиотечно-издательский комплекс СФУ

Application of Neuro-Fuzzy Control Systems for Increasing the Energy Efficiency of Wind Turbines : доклад, тезисы доклада
доклад, тезисы доклада, статья из сборника материалов конференций

Похожие публикации