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2014 Islanding Detection for Microgrid Based on Frequency Tracking Using Extended Kalman Filter Algorithm
Bin Li, Jingpeng Wang, Hailong Bao, Huiying Zhang
J. Appl. Math. 2014(SI07): 1-11 (2014). DOI: 10.1155/2014/186360

Abstract

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.

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Bin Li. Jingpeng Wang. Hailong Bao. Huiying Zhang. "Islanding Detection for Microgrid Based on Frequency Tracking Using Extended Kalman Filter Algorithm." J. Appl. Math. 2014 (SI07) 1 - 11, 2014. https://doi.org/10.1155/2014/186360

Information

Published: 2014
First available in Project Euclid: 1 October 2014

Digital Object Identifier: 10.1155/2014/186360

Rights: Copyright © 2014 Hindawi

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Vol.2014 • No. SI07 • 2014
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