Control Strategy of Photovoltaic DC Microgrid Based on Fuzzy EEMD
In order to improve the accuracy of power time series regulation of DC microgrid photovoltaic power generation and its hybrid energy storage system, a set of empirical mode decomposition (EEMD) control strategy based on fuzzy algorithm optimization is proposed in this paper. Through EEMD decompositi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2022-01-01
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| Series: | Tehnički Vjesnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/408407 |
| _version_ | 1797206651250409472 |
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| author | Chunhui Liang Weihong Ren Peng Cheng Chao Ding |
| author_facet | Chunhui Liang Weihong Ren Peng Cheng Chao Ding |
| author_sort | Chunhui Liang |
| collection | DOAJ |
| description | In order to improve the accuracy of power time series regulation of DC microgrid photovoltaic power generation and its hybrid energy storage system, a set of empirical mode decomposition (EEMD) control strategy based on fuzzy algorithm optimization is proposed in this paper. Through EEMD decomposition of photovoltaic power data, a set of eigenmode component functions is obtained, the EEMD power decomposition method is designed, and the EEMD optimization fuzzy control strategy is established. Finally, the effectiveness and accuracy of the controller are verified by simulation experiments. The results show that compared with the ordinary EEMD power decomposition control method, the proposed method can achieve better control effect under different power fluctuation characteristics, improve the strong randomness and fluctuation of distributed generation fluctuation, and has strong applicability. |
| first_indexed | 2024-04-24T09:10:24Z |
| format | Article |
| id | doaj.art-5b2a4976090c45abafc21888f59668d7 |
| institution | Directory Open Access Journal |
| issn | 1330-3651 1848-6339 |
| language | English |
| last_indexed | 2024-04-24T09:10:24Z |
| publishDate | 2022-01-01 |
| publisher | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek |
| record_format | Article |
| series | Tehnički Vjesnik |
| spelling | doaj.art-5b2a4976090c45abafc21888f59668d72024-04-15T17:57:33ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392022-01-012951762176910.17559/TV-20220421043045Control Strategy of Photovoltaic DC Microgrid Based on Fuzzy EEMDChunhui Liang0Weihong Ren1Peng Cheng2Chao Ding3School of Electrical and Information Engineering, Changchun Institute of Technology, Changchun130022, China; National and Local Joint Engineering Research Center Of Intelligent Distribution, Network Measurement and Control and Safe Operation Technology, Changchun 130022, ChinaSchool of Electrical and Information Engineering, Changchun Institute of Technology, Changchun 130022, ChinaSchool of Electrical and Information Engineering, Changchun Institute of Technology, Changchun 130022, ChinaSchool of Electrical and Information Engineering, Changchun Institute of Technology, Changchun 130022, ChinaIn order to improve the accuracy of power time series regulation of DC microgrid photovoltaic power generation and its hybrid energy storage system, a set of empirical mode decomposition (EEMD) control strategy based on fuzzy algorithm optimization is proposed in this paper. Through EEMD decomposition of photovoltaic power data, a set of eigenmode component functions is obtained, the EEMD power decomposition method is designed, and the EEMD optimization fuzzy control strategy is established. Finally, the effectiveness and accuracy of the controller are verified by simulation experiments. The results show that compared with the ordinary EEMD power decomposition control method, the proposed method can achieve better control effect under different power fluctuation characteristics, improve the strong randomness and fluctuation of distributed generation fluctuation, and has strong applicability.https://hrcak.srce.hr/file/408407EEMDDC microgridfuzzy controlpower fluctuations |
| spellingShingle | Chunhui Liang Weihong Ren Peng Cheng Chao Ding Control Strategy of Photovoltaic DC Microgrid Based on Fuzzy EEMD Tehnički Vjesnik EEMD DC microgrid fuzzy control power fluctuations |
| title | Control Strategy of Photovoltaic DC Microgrid Based on Fuzzy EEMD |
| title_full | Control Strategy of Photovoltaic DC Microgrid Based on Fuzzy EEMD |
| title_fullStr | Control Strategy of Photovoltaic DC Microgrid Based on Fuzzy EEMD |
| title_full_unstemmed | Control Strategy of Photovoltaic DC Microgrid Based on Fuzzy EEMD |
| title_short | Control Strategy of Photovoltaic DC Microgrid Based on Fuzzy EEMD |
| title_sort | control strategy of photovoltaic dc microgrid based on fuzzy eemd |
| topic | EEMD DC microgrid fuzzy control power fluctuations |
| url | https://hrcak.srce.hr/file/408407 |
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