Abstract
Microgrids can connect and disconnect from the grid to enable them to operate in both grid-connected and islanded modes. Stability issues are often a concern in islanded microgrids due to a decrease in system inertia. In addition, the quick response of power electronic inverters in the system creates a high rate of change in frequency, voltage and current. Thus, the system should have the capability to detect any disturbance within a short period of time. Real-time disturbance detection is challenging in islanded microgrids. Advanced signal processing techniques have the ability to detect all kinds of transients occurring in the system parameters either in the time or frequency domain. This paper provides an in-depth analysis of existing disturbance detection methods in islanded microgrids. The drawbacks of the existing methods are identified with an IEC islanded microgrid modeled in MATLAB/SIMULINK. Real system measurements from the IEEE DataPort are used to extract samples of real system noise. This noise is added to the simulated measurements to better test the existing methods.
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