Frequency-Distinct Control of Wind Energy Conversion System Featuring Smooth and Productive Power Output
Improving maximum power point tracking ability (MPPTA) and smoothing electric power fluctuation (EPF) are two important goals for optimizing wind power generation. Sufficient works have been done on both goals separately, but the multi-objective optimization of wind energy conversion system (WECS) i...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8314137/ |
| _version_ | 1818643033863749632 |
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| author | Feng Jia Xu Cai Zheng Li |
| author_facet | Feng Jia Xu Cai Zheng Li |
| author_sort | Feng Jia |
| collection | DOAJ |
| description | Improving maximum power point tracking ability (MPPTA) and smoothing electric power fluctuation (EPF) are two important goals for optimizing wind power generation. Sufficient works have been done on both goals separately, but the multi-objective optimization of wind energy conversion system (WECS) is lack of theoretical analysis. In this paper, the small signal analysis method is applied to get a frequency-domain declaration for both MPPTA and EPF. The analysis results show when applying traditional optimal torque control (OTC), a larger moment of inertia of WECS is preferred for smoothing EPF, while a smaller moment of inertia is preferred for improving MPPTA, i.e., the two optimization goals contradict with each other. Furthermore, the existing control strategies for improving MPPTA are summarized as virtual-inertia embedded OTC, which turns out to have adverse impacts on EPF. To simultaneously optimize these two contradictory goals, a novel frequency-distinct optimal torque control approach is proposed, and a novel criterion for evaluating MPPTA is presented to facilitate controller parameter design. The analysis results and the proposed control strategy are fully verified by refined co-simulation platform based on GH Bladed and real time digital simulator. |
| first_indexed | 2024-12-16T23:52:32Z |
| format | Article |
| id | doaj.art-7e54433206d44b84bbb2055a2f130ac2 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T23:52:32Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-7e54433206d44b84bbb2055a2f130ac22022-12-21T22:11:17ZengIEEEIEEE Access2169-35362018-01-016167461675410.1109/ACCESS.2018.28145938314137Frequency-Distinct Control of Wind Energy Conversion System Featuring Smooth and Productive Power OutputFeng Jia0https://orcid.org/0000-0001-7237-3277Xu Cai1Zheng Li2School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, ChinaSchool of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, ChinaCollege of Science and Technology, Donghua University, Shanghai, ChinaImproving maximum power point tracking ability (MPPTA) and smoothing electric power fluctuation (EPF) are two important goals for optimizing wind power generation. Sufficient works have been done on both goals separately, but the multi-objective optimization of wind energy conversion system (WECS) is lack of theoretical analysis. In this paper, the small signal analysis method is applied to get a frequency-domain declaration for both MPPTA and EPF. The analysis results show when applying traditional optimal torque control (OTC), a larger moment of inertia of WECS is preferred for smoothing EPF, while a smaller moment of inertia is preferred for improving MPPTA, i.e., the two optimization goals contradict with each other. Furthermore, the existing control strategies for improving MPPTA are summarized as virtual-inertia embedded OTC, which turns out to have adverse impacts on EPF. To simultaneously optimize these two contradictory goals, a novel frequency-distinct optimal torque control approach is proposed, and a novel criterion for evaluating MPPTA is presented to facilitate controller parameter design. The analysis results and the proposed control strategy are fully verified by refined co-simulation platform based on GH Bladed and real time digital simulator.https://ieeexplore.ieee.org/document/8314137/Wind power generationfrequency domain analysismaximum power point trackingpower fluctuationsmall signal analysis |
| spellingShingle | Feng Jia Xu Cai Zheng Li Frequency-Distinct Control of Wind Energy Conversion System Featuring Smooth and Productive Power Output IEEE Access Wind power generation frequency domain analysis maximum power point tracking power fluctuation small signal analysis |
| title | Frequency-Distinct Control of Wind Energy Conversion System Featuring Smooth and Productive Power Output |
| title_full | Frequency-Distinct Control of Wind Energy Conversion System Featuring Smooth and Productive Power Output |
| title_fullStr | Frequency-Distinct Control of Wind Energy Conversion System Featuring Smooth and Productive Power Output |
| title_full_unstemmed | Frequency-Distinct Control of Wind Energy Conversion System Featuring Smooth and Productive Power Output |
| title_short | Frequency-Distinct Control of Wind Energy Conversion System Featuring Smooth and Productive Power Output |
| title_sort | frequency distinct control of wind energy conversion system featuring smooth and productive power output |
| topic | Wind power generation frequency domain analysis maximum power point tracking power fluctuation small signal analysis |
| url | https://ieeexplore.ieee.org/document/8314137/ |
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