Control Strategy Based on Wavelet Transform and Neural Network for Hybrid Power System
This paper deals with an energy management of a hybrid power generation system. The proposed control strategy for the energy management is based on the combination of wavelet transform and neural network arithmetic. The hybrid system in this paper consists of an emulated wind turbine generator, PV p...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2013/375840 |
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| author | Y. D. Song Qian Cao Xiaoqiang Du Hamid Reza Karimi |
| author_facet | Y. D. Song Qian Cao Xiaoqiang Du Hamid Reza Karimi |
| author_sort | Y. D. Song |
| collection | DOAJ |
| description | This paper deals with an energy management of a hybrid power generation system. The proposed control strategy for the energy management is based on the combination of wavelet transform and neural network arithmetic. The hybrid system in this paper consists of an emulated wind turbine generator, PV panels, DC and AC loads, lithium ion battery, and super capacitor, which are all connected on a DC bus with unified DC voltage. The control strategy is responsible for compensating the difference between the generated power from the wind and solar generators and the demanded power by the loads. Wavelet transform decomposes the power difference into smoothed component and fast fluctuated component. In consideration of battery protection, the neural network is introduced to calculate the reference power of battery. Super capacitor (SC) is controlled to regulate the DC bus voltage. The model of the hybrid system is developed in detail under Matlab/Simulink software environment. |
| format | Article |
| id | doaj-art-c7fabeffbc3b45f2b838cced4d09f933 |
| institution | OA Journals |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-c7fabeffbc3b45f2b838cced4d09f9332025-08-20T02:20:01ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/375840375840Control Strategy Based on Wavelet Transform and Neural Network for Hybrid Power SystemY. D. Song0Qian Cao1Xiaoqiang Du2Hamid Reza Karimi3School of Automation, Chongqing University, Chongqing 400044, ChinaSchool of Energy Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Energy Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaDepartment of Engineering, Faculty of Engineering and Science, University of Agder, 4898 Grimstad, NorwayThis paper deals with an energy management of a hybrid power generation system. The proposed control strategy for the energy management is based on the combination of wavelet transform and neural network arithmetic. The hybrid system in this paper consists of an emulated wind turbine generator, PV panels, DC and AC loads, lithium ion battery, and super capacitor, which are all connected on a DC bus with unified DC voltage. The control strategy is responsible for compensating the difference between the generated power from the wind and solar generators and the demanded power by the loads. Wavelet transform decomposes the power difference into smoothed component and fast fluctuated component. In consideration of battery protection, the neural network is introduced to calculate the reference power of battery. Super capacitor (SC) is controlled to regulate the DC bus voltage. The model of the hybrid system is developed in detail under Matlab/Simulink software environment.http://dx.doi.org/10.1155/2013/375840 |
| spellingShingle | Y. D. Song Qian Cao Xiaoqiang Du Hamid Reza Karimi Control Strategy Based on Wavelet Transform and Neural Network for Hybrid Power System Journal of Applied Mathematics |
| title | Control Strategy Based on Wavelet Transform and Neural Network for Hybrid Power System |
| title_full | Control Strategy Based on Wavelet Transform and Neural Network for Hybrid Power System |
| title_fullStr | Control Strategy Based on Wavelet Transform and Neural Network for Hybrid Power System |
| title_full_unstemmed | Control Strategy Based on Wavelet Transform and Neural Network for Hybrid Power System |
| title_short | Control Strategy Based on Wavelet Transform and Neural Network for Hybrid Power System |
| title_sort | control strategy based on wavelet transform and neural network for hybrid power system |
| url | http://dx.doi.org/10.1155/2013/375840 |
| work_keys_str_mv | AT ydsong controlstrategybasedonwavelettransformandneuralnetworkforhybridpowersystem AT qiancao controlstrategybasedonwavelettransformandneuralnetworkforhybridpowersystem AT xiaoqiangdu controlstrategybasedonwavelettransformandneuralnetworkforhybridpowersystem AT hamidrezakarimi controlstrategybasedonwavelettransformandneuralnetworkforhybridpowersystem |