Maximum Wind Energy Extraction by Using Neural Network Estimation and Predictive Control of Boost Converter
The power generation from wind turbine are variable because of dependence on environmental conditions and it is important to extract maximum energy from wind. This paper proposes a new method to extract maximum energy from wind turbine systems. The artificial neural network (ANN) is used to estimate...
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| Format: | Article |
| Language: | English |
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University of Sistan and Baluchestan
2018-09-01
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| Series: | International Journal of Industrial Electronics, Control and Optimization |
| Subjects: | |
| Online Access: | https://ieco.usb.ac.ir/article_4130_75b012c66bac4f14bb76790c09cfd48b.pdf |
| _version_ | 1811338721617772544 |
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| author | Mahdi Heidari |
| author_facet | Mahdi Heidari |
| author_sort | Mahdi Heidari |
| collection | DOAJ |
| description | The power generation from wind turbine are variable because of dependence on environmental conditions and it is important to extract maximum energy from wind. This paper proposes a new method to extract maximum energy from wind turbine systems. The artificial neural network (ANN) is used to estimate the wind speed based on the rotor speed and the output power. In addition to ANN, a predictive controller is used to maximize the efficiency of the boost converter. In predictive controller, duty cycle of boost converter is controlled to obtain the maximum power point based on the slope method. One of the most interesting advantages of this controller is simplicity of control and implementation that is leads to fast response and exact tracking. The method has been developed and analyzed by utilizing a turbine directly driven permanent-magnet synchronous generator (PMSG). The simulation results verify the performance of the proposed method. Results show that this method maximizes wind energy extraction with more accuracy and fastness. |
| first_indexed | 2024-04-13T18:16:11Z |
| format | Article |
| id | doaj.art-a02f78c1bb9a42eda41bdf2dbe1f0a49 |
| institution | Directory Open Access Journal |
| issn | 2645-3517 2645-3568 |
| language | English |
| last_indexed | 2024-04-13T18:16:11Z |
| publishDate | 2018-09-01 |
| publisher | University of Sistan and Baluchestan |
| record_format | Article |
| series | International Journal of Industrial Electronics, Control and Optimization |
| spelling | doaj.art-a02f78c1bb9a42eda41bdf2dbe1f0a492022-12-22T02:35:41ZengUniversity of Sistan and BaluchestanInternational Journal of Industrial Electronics, Control and Optimization2645-35172645-35682018-09-011211512010.22111/ieco.2018.23973.10084130Maximum Wind Energy Extraction by Using Neural Network Estimation and Predictive Control of Boost ConverterMahdi Heidari0Department of Electrical Engineering, Faculty of Engineering, University of Zabol, Zabol, IranThe power generation from wind turbine are variable because of dependence on environmental conditions and it is important to extract maximum energy from wind. This paper proposes a new method to extract maximum energy from wind turbine systems. The artificial neural network (ANN) is used to estimate the wind speed based on the rotor speed and the output power. In addition to ANN, a predictive controller is used to maximize the efficiency of the boost converter. In predictive controller, duty cycle of boost converter is controlled to obtain the maximum power point based on the slope method. One of the most interesting advantages of this controller is simplicity of control and implementation that is leads to fast response and exact tracking. The method has been developed and analyzed by utilizing a turbine directly driven permanent-magnet synchronous generator (PMSG). The simulation results verify the performance of the proposed method. Results show that this method maximizes wind energy extraction with more accuracy and fastness.https://ieco.usb.ac.ir/article_4130_75b012c66bac4f14bb76790c09cfd48b.pdfwind turbinepmsgneural networkpredictive controllerboost converter |
| spellingShingle | Mahdi Heidari Maximum Wind Energy Extraction by Using Neural Network Estimation and Predictive Control of Boost Converter International Journal of Industrial Electronics, Control and Optimization wind turbine pmsg neural network predictive controller boost converter |
| title | Maximum Wind Energy Extraction by Using Neural Network Estimation and Predictive Control of Boost Converter |
| title_full | Maximum Wind Energy Extraction by Using Neural Network Estimation and Predictive Control of Boost Converter |
| title_fullStr | Maximum Wind Energy Extraction by Using Neural Network Estimation and Predictive Control of Boost Converter |
| title_full_unstemmed | Maximum Wind Energy Extraction by Using Neural Network Estimation and Predictive Control of Boost Converter |
| title_short | Maximum Wind Energy Extraction by Using Neural Network Estimation and Predictive Control of Boost Converter |
| title_sort | maximum wind energy extraction by using neural network estimation and predictive control of boost converter |
| topic | wind turbine pmsg neural network predictive controller boost converter |
| url | https://ieco.usb.ac.ir/article_4130_75b012c66bac4f14bb76790c09cfd48b.pdf |
| work_keys_str_mv | AT mahdiheidari maximumwindenergyextractionbyusingneuralnetworkestimationandpredictivecontrolofboostconverter |