Belbic frequency control of provisional microgrid with hybrid AC/DC microgrid and renewable energy sources
Nowadays, intelligent control methods play an important role in the advancement of technology and the human movement towards further evolution. The development of new frameworks for power generation and distribution systems by designing a microgrid structure with economic capabilities is one of thes...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-07-01
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| Series: | Automatika |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/00051144.2024.2329506 |
| _version_ | 1797244724567867392 |
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| author | Yan Gu Jianhua Sun Hesam Poloei |
| author_facet | Yan Gu Jianhua Sun Hesam Poloei |
| author_sort | Yan Gu |
| collection | DOAJ |
| description | Nowadays, intelligent control methods play an important role in the advancement of technology and the human movement towards further evolution. The development of new frameworks for power generation and distribution systems by designing a microgrid structure with economic capabilities is one of these areas of progress. Therefore, this paper introduces a new practical method for controlling the frequency of provisional microgrid and is able to cover the following issues at the same time including (1) It considers the nonlinear model of provisional microgrid which has a hybrid structure (AC and DC) in addition to renewable energy sources; (2) Introduces a method for microgrid frequency control under different operational conditions that performs based on the brain emotional learning; (3) Ensures the operation and applicability of the control method for the provisional microgrid through implementation of FPGA for the first time; (4) Confirms the robustness of the proposed method under severe load changes and generation from renewable sources. So, the effects of wind turbines and solar energy are considered in the simulation scenario and under the influence of various changes in load and system uncertainties, the robustness and efficiency of the proposed method are well demonstrated. |
| first_indexed | 2024-04-24T19:15:34Z |
| format | Article |
| id | doaj.art-b979f695b53d452ead9d3427dd589893 |
| institution | Directory Open Access Journal |
| issn | 0005-1144 1848-3380 |
| language | English |
| last_indexed | 2024-04-24T19:15:34Z |
| publishDate | 2024-07-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Automatika |
| spelling | doaj.art-b979f695b53d452ead9d3427dd5898932024-03-26T07:32:19ZengTaylor & Francis GroupAutomatika0005-11441848-33802024-07-016531079108710.1080/00051144.2024.2329506Belbic frequency control of provisional microgrid with hybrid AC/DC microgrid and renewable energy sourcesYan Gu0Jianhua Sun1Hesam Poloei2School of Mechanical Engineering, Nantong Institute of Technology, Nantong, People’s Republic of ChinaSchool of Mechanical Engineering, Nantong Institute of Technology, Nantong, People’s Republic of ChinaDepartment of Electrical Engineering, Institute of Higher Education Non-profit University, Chalus, IranNowadays, intelligent control methods play an important role in the advancement of technology and the human movement towards further evolution. The development of new frameworks for power generation and distribution systems by designing a microgrid structure with economic capabilities is one of these areas of progress. Therefore, this paper introduces a new practical method for controlling the frequency of provisional microgrid and is able to cover the following issues at the same time including (1) It considers the nonlinear model of provisional microgrid which has a hybrid structure (AC and DC) in addition to renewable energy sources; (2) Introduces a method for microgrid frequency control under different operational conditions that performs based on the brain emotional learning; (3) Ensures the operation and applicability of the control method for the provisional microgrid through implementation of FPGA for the first time; (4) Confirms the robustness of the proposed method under severe load changes and generation from renewable sources. So, the effects of wind turbines and solar energy are considered in the simulation scenario and under the influence of various changes in load and system uncertainties, the robustness and efficiency of the proposed method are well demonstrated.https://www.tandfonline.com/doi/10.1080/00051144.2024.2329506BELBIC methodprovisional microgridsolar energyrenewable energyintelligent frequency control |
| spellingShingle | Yan Gu Jianhua Sun Hesam Poloei Belbic frequency control of provisional microgrid with hybrid AC/DC microgrid and renewable energy sources Automatika BELBIC method provisional microgrid solar energy renewable energy intelligent frequency control |
| title | Belbic frequency control of provisional microgrid with hybrid AC/DC microgrid and renewable energy sources |
| title_full | Belbic frequency control of provisional microgrid with hybrid AC/DC microgrid and renewable energy sources |
| title_fullStr | Belbic frequency control of provisional microgrid with hybrid AC/DC microgrid and renewable energy sources |
| title_full_unstemmed | Belbic frequency control of provisional microgrid with hybrid AC/DC microgrid and renewable energy sources |
| title_short | Belbic frequency control of provisional microgrid with hybrid AC/DC microgrid and renewable energy sources |
| title_sort | belbic frequency control of provisional microgrid with hybrid ac dc microgrid and renewable energy sources |
| topic | BELBIC method provisional microgrid solar energy renewable energy intelligent frequency control |
| url | https://www.tandfonline.com/doi/10.1080/00051144.2024.2329506 |
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