Multimodel Modeling and Predictive Control for Direct-Drive Wind Turbine with Permanent Magnet Synchronous Generator
The safety and reliability of the wind turbines wholly depend on the completeness and reliability of the control system which is an important problem for the validity of the wind energy conversion systems (WECSs). A method based on multimodel modeling and predictive control is proposed for the optim...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2015/296436 |
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| author | Lei Wang Tao Shen Chen Chen |
| author_facet | Lei Wang Tao Shen Chen Chen |
| author_sort | Lei Wang |
| collection | DOAJ |
| description | The safety and reliability of the wind turbines wholly depend on the completeness and reliability of the control system which is an important problem for the validity of the wind energy conversion systems (WECSs). A method based on multimodel modeling and predictive control is proposed for the optimal operation of direct-drive wind turbine with permanent magnet synchronous generator in this paper. In this strategy, wind turbine with direct-drive permanent magnet synchronous generator is modeled and a backpropagation artificial neural network is designed to estimate the wind speed loaded into the turbine model in real time through the estimated turbine shaft speed and mechanical power. The nonlinear wind turbine system is presented by multiple linear models. The desired trajectory of the nonlinear system is decomposed to be suitable for the reference trajectory of multiple models that are presented by the linear models of the nonlinear system, which simplifies the nonlinear optimization problems and decreases the calculation difficulty. Then a multivariable control strategy based on model predictive control techniques for the control of variable-speed variable-pitch wind turbines is proposed. Finally, simulation results are given to illustrate the effectiveness of the proposed strategy, and the conclusion that multiple model predictive controller (MMPC) has better control performance than the PI control method is obtained. |
| format | Article |
| id | doaj-art-92d2cf754fe24e94b2379425344c090f |
| institution | Kabale University |
| issn | 1085-3375 1687-0409 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Abstract and Applied Analysis |
| spelling | doaj-art-92d2cf754fe24e94b2379425344c090f2025-02-03T07:24:44ZengWileyAbstract and Applied Analysis1085-33751687-04092015-01-01201510.1155/2015/296436296436Multimodel Modeling and Predictive Control for Direct-Drive Wind Turbine with Permanent Magnet Synchronous GeneratorLei Wang0Tao Shen1Chen Chen2School of Automation, Chongqing University, Chongqing 40044, ChinaSchool of Automation, Chongqing University, Chongqing 40044, ChinaSchool of Automation, Chongqing University, Chongqing 40044, ChinaThe safety and reliability of the wind turbines wholly depend on the completeness and reliability of the control system which is an important problem for the validity of the wind energy conversion systems (WECSs). A method based on multimodel modeling and predictive control is proposed for the optimal operation of direct-drive wind turbine with permanent magnet synchronous generator in this paper. In this strategy, wind turbine with direct-drive permanent magnet synchronous generator is modeled and a backpropagation artificial neural network is designed to estimate the wind speed loaded into the turbine model in real time through the estimated turbine shaft speed and mechanical power. The nonlinear wind turbine system is presented by multiple linear models. The desired trajectory of the nonlinear system is decomposed to be suitable for the reference trajectory of multiple models that are presented by the linear models of the nonlinear system, which simplifies the nonlinear optimization problems and decreases the calculation difficulty. Then a multivariable control strategy based on model predictive control techniques for the control of variable-speed variable-pitch wind turbines is proposed. Finally, simulation results are given to illustrate the effectiveness of the proposed strategy, and the conclusion that multiple model predictive controller (MMPC) has better control performance than the PI control method is obtained.http://dx.doi.org/10.1155/2015/296436 |
| spellingShingle | Lei Wang Tao Shen Chen Chen Multimodel Modeling and Predictive Control for Direct-Drive Wind Turbine with Permanent Magnet Synchronous Generator Abstract and Applied Analysis |
| title | Multimodel Modeling and Predictive Control for Direct-Drive Wind Turbine with Permanent Magnet Synchronous Generator |
| title_full | Multimodel Modeling and Predictive Control for Direct-Drive Wind Turbine with Permanent Magnet Synchronous Generator |
| title_fullStr | Multimodel Modeling and Predictive Control for Direct-Drive Wind Turbine with Permanent Magnet Synchronous Generator |
| title_full_unstemmed | Multimodel Modeling and Predictive Control for Direct-Drive Wind Turbine with Permanent Magnet Synchronous Generator |
| title_short | Multimodel Modeling and Predictive Control for Direct-Drive Wind Turbine with Permanent Magnet Synchronous Generator |
| title_sort | multimodel modeling and predictive control for direct drive wind turbine with permanent magnet synchronous generator |
| url | http://dx.doi.org/10.1155/2015/296436 |
| work_keys_str_mv | AT leiwang multimodelmodelingandpredictivecontrolfordirectdrivewindturbinewithpermanentmagnetsynchronousgenerator AT taoshen multimodelmodelingandpredictivecontrolfordirectdrivewindturbinewithpermanentmagnetsynchronousgenerator AT chenchen multimodelmodelingandpredictivecontrolfordirectdrivewindturbinewithpermanentmagnetsynchronousgenerator |