Fault Detection in Cluster Microgrids of Urban Community using Multi Resolution Technique based Wavelet Transforms

S.N.V. Bramareswara Rao

Abstract


Due to significant distributed generator penetrations, microgrid protection issues have an impact on power system reliability. As a result, fault identification and protection in microgrids is critical and must be addressed in order to improve the power system's robustness. If any fault arises in or outside the microgrid (MG), the microgrid should get disconnected from the main grid promptly using a static switch like circuit breaker situated near the point of common coupling (PCC). In order to supply reliable and quality power to the consumer by reducing the burden on the utility grid this paper proposes “Cluster Microgrid System”. Proposed system is formed by integrating neighbourhood microgrids and is designed to operate both in autonomous and grid connected mode. Moreover, Wavelet Transformation based frequency multi resolution technique is also proposed for detecting different type’s faults appeared in different locations of cluster microgrid system. To locate these faults, the daubechies-4 wavelet decomposes the extracted signal into detailed and approximated signals along with the two-terminal travelling wave phenomenon. The proposed wavelet transform based cluster microgrid system is implemented in MATLAB/Simulink 2021a environment. To verify the robustness of the proposed system, the proposed wavelet Transform (WT), Wavelet Packet Transform (WPT) techniques are analyzed and compared by considering performance indices such as standard deviation and mean absolute deviation, median absolute deviation and entropy. From the results it is observed that WPT gives fruitful results when compared with WT

Keywords


Microgrid; Wavelet Transform; Wavelet Packet Transform; Cluster Microgrid; Utility grid

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References


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DOI (PDF): https://doi.org/10.20508/ijrer.v12i3.13129.g8505

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