An online identification method for establishing a microgrid equivalent model based on the hybrid particle swarm optimization butterfly algorithm
Abstract The frequency response model of a microgrid system is an indispensable tool for designing secondary frequency controllers and analyzing system frequency stability. Owing to the complexity of a microgrid system structure, time‐varying operation state, and difficulty in obtaining the inverter...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-05-01
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| Series: | Energy Science & Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/ese3.1407 |
| _version_ | 1797829825715503104 |
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| author | Shi Yong Cheng Yin Su Jianhui Mao Meiqin |
| author_facet | Shi Yong Cheng Yin Su Jianhui Mao Meiqin |
| author_sort | Shi Yong |
| collection | DOAJ |
| description | Abstract The frequency response model of a microgrid system is an indispensable tool for designing secondary frequency controllers and analyzing system frequency stability. Owing to the complexity of a microgrid system structure, time‐varying operation state, and difficulty in obtaining the inverter parameters, it is difficult to model the microgrid system. To address the abovementioned problems, this study constructs the equivalent model of a microgrid system based on mechanism analysis and then identifies the equivalent model parameters using an online identification method based on a hybrid particle swarm optimization butterfly algorithm according to the sampled operation data to obtain the specific equivalent model of a microgrid for the controller. This modeling method has strong adaptability and can yield accurate identification modeling when the operational structure of the microgrid changes. |
| first_indexed | 2024-04-09T13:26:09Z |
| format | Article |
| id | doaj.art-38f38a8094cb4d4c9a95aad722767987 |
| institution | Directory Open Access Journal |
| issn | 2050-0505 |
| language | English |
| last_indexed | 2024-04-09T13:26:09Z |
| publishDate | 2023-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | Energy Science & Engineering |
| spelling | doaj.art-38f38a8094cb4d4c9a95aad7227679872023-05-10T07:56:55ZengWileyEnergy Science & Engineering2050-05052023-05-011151619162910.1002/ese3.1407An online identification method for establishing a microgrid equivalent model based on the hybrid particle swarm optimization butterfly algorithmShi Yong0Cheng Yin1Su Jianhui2Mao Meiqin3Photovoltaic System Engineering Research Center of the Ministry of Education Hefei University of Technology Hefei ChinaPhotovoltaic System Engineering Research Center of the Ministry of Education Hefei University of Technology Hefei ChinaPhotovoltaic System Engineering Research Center of the Ministry of Education Hefei University of Technology Hefei ChinaPhotovoltaic System Engineering Research Center of the Ministry of Education Hefei University of Technology Hefei ChinaAbstract The frequency response model of a microgrid system is an indispensable tool for designing secondary frequency controllers and analyzing system frequency stability. Owing to the complexity of a microgrid system structure, time‐varying operation state, and difficulty in obtaining the inverter parameters, it is difficult to model the microgrid system. To address the abovementioned problems, this study constructs the equivalent model of a microgrid system based on mechanism analysis and then identifies the equivalent model parameters using an online identification method based on a hybrid particle swarm optimization butterfly algorithm according to the sampled operation data to obtain the specific equivalent model of a microgrid for the controller. This modeling method has strong adaptability and can yield accurate identification modeling when the operational structure of the microgrid changes.https://doi.org/10.1002/ese3.1407butterfly algorithmmicrogridonline identificationparticle swarm optimization |
| spellingShingle | Shi Yong Cheng Yin Su Jianhui Mao Meiqin An online identification method for establishing a microgrid equivalent model based on the hybrid particle swarm optimization butterfly algorithm Energy Science & Engineering butterfly algorithm microgrid online identification particle swarm optimization |
| title | An online identification method for establishing a microgrid equivalent model based on the hybrid particle swarm optimization butterfly algorithm |
| title_full | An online identification method for establishing a microgrid equivalent model based on the hybrid particle swarm optimization butterfly algorithm |
| title_fullStr | An online identification method for establishing a microgrid equivalent model based on the hybrid particle swarm optimization butterfly algorithm |
| title_full_unstemmed | An online identification method for establishing a microgrid equivalent model based on the hybrid particle swarm optimization butterfly algorithm |
| title_short | An online identification method for establishing a microgrid equivalent model based on the hybrid particle swarm optimization butterfly algorithm |
| title_sort | online identification method for establishing a microgrid equivalent model based on the hybrid particle swarm optimization butterfly algorithm |
| topic | butterfly algorithm microgrid online identification particle swarm optimization |
| url | https://doi.org/10.1002/ese3.1407 |
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