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Islanding Detection for Microgrid Based on Frequency Tracking Using Extended Kalman Filter Algorithm
Joint Authors
Li, Bin
Bao, Hailong
Wang, Jingpeng
Zhang, Huiying
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-15
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Li, Bin& Wang, Jingpeng& Bao, Hailong& Zhang, Huiying. 2014. Islanding Detection for Microgrid Based on Frequency Tracking Using Extended Kalman Filter Algorithm. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-452876
Modern Language Association (MLA)
Li, Bin…[et al.]. Islanding Detection for Microgrid Based on Frequency Tracking Using Extended Kalman Filter Algorithm. Journal of Applied Mathematics No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-452876
American Medical Association (AMA)
Li, Bin& Wang, Jingpeng& Bao, Hailong& Zhang, Huiying. Islanding Detection for Microgrid Based on Frequency Tracking Using Extended Kalman Filter Algorithm. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-452876
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-452876