Islanding Detection for Microgrid Based on Frequency Tracking Using Extended Kalman Filter Algorithm
Islanding detection is essential for secure and reliable operation of microgrids. Considering the relationship between the power generation and the load in microgrids, frequency may vary with time when islanding occurs. As a common approach, frequency measurement is widely used to detect islanding c...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2014/186360 |
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| _version_ | 1832566921967435776 |
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| author | Bin Li Jingpeng Wang Hailong Bao Huiying Zhang |
| author_facet | Bin Li Jingpeng Wang Hailong Bao Huiying Zhang |
| author_sort | Bin Li |
| collection | DOAJ |
| description | Islanding detection is essential for secure and reliable operation of microgrids. Considering the relationship between the power generation and the load in microgrids, frequency may vary with time when islanding occurs. As a common approach, frequency measurement is widely used to detect islanding condition. In this paper, a novel frequency calculation algorithm based on extended Kalman filter was proposed to track dynamic frequency of the microgrid. Taylor series expansion was introduced to solve nonlinear state equations. In addition, a typical microgrid model was built using MATLAB/SIMULINK. Simulation results demonstrated that the proposed algorithm achieved great stability and strong robustness in of tracking dynamic frequency. |
| format | Article |
| id | doaj-art-d47ca0994d1d4e7c88fc766fd5f79a14 |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-d47ca0994d1d4e7c88fc766fd5f79a142025-02-03T01:02:46ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/186360186360Islanding Detection for Microgrid Based on Frequency Tracking Using Extended Kalman Filter AlgorithmBin Li0Jingpeng Wang1Hailong Bao2Huiying Zhang3Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, ChinaKey Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, ChinaKey Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, ChinaKey Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, ChinaIslanding detection is essential for secure and reliable operation of microgrids. Considering the relationship between the power generation and the load in microgrids, frequency may vary with time when islanding occurs. As a common approach, frequency measurement is widely used to detect islanding condition. In this paper, a novel frequency calculation algorithm based on extended Kalman filter was proposed to track dynamic frequency of the microgrid. Taylor series expansion was introduced to solve nonlinear state equations. In addition, a typical microgrid model was built using MATLAB/SIMULINK. Simulation results demonstrated that the proposed algorithm achieved great stability and strong robustness in of tracking dynamic frequency.http://dx.doi.org/10.1155/2014/186360 |
| spellingShingle | Bin Li Jingpeng Wang Hailong Bao Huiying Zhang Islanding Detection for Microgrid Based on Frequency Tracking Using Extended Kalman Filter Algorithm Journal of Applied Mathematics |
| title | Islanding Detection for Microgrid Based on Frequency Tracking Using Extended Kalman Filter Algorithm |
| title_full | Islanding Detection for Microgrid Based on Frequency Tracking Using Extended Kalman Filter Algorithm |
| title_fullStr | Islanding Detection for Microgrid Based on Frequency Tracking Using Extended Kalman Filter Algorithm |
| title_full_unstemmed | Islanding Detection for Microgrid Based on Frequency Tracking Using Extended Kalman Filter Algorithm |
| title_short | Islanding Detection for Microgrid Based on Frequency Tracking Using Extended Kalman Filter Algorithm |
| title_sort | islanding detection for microgrid based on frequency tracking using extended kalman filter algorithm |
| url | http://dx.doi.org/10.1155/2014/186360 |
| work_keys_str_mv | AT binli islandingdetectionformicrogridbasedonfrequencytrackingusingextendedkalmanfilteralgorithm AT jingpengwang islandingdetectionformicrogridbasedonfrequencytrackingusingextendedkalmanfilteralgorithm AT hailongbao islandingdetectionformicrogridbasedonfrequencytrackingusingextendedkalmanfilteralgorithm AT huiyingzhang islandingdetectionformicrogridbasedonfrequencytrackingusingextendedkalmanfilteralgorithm |