Wind Integrated Line Protection using Local Mean Decomposition of Current Information

M Saritha, Seenivasan S, Ravindranath G, Durga Prasad Chinta

Abstract


In this paper, local mean decomposition (LMD) technique is applied to detect distribution line faults. A 25KV distribution system connected with 9 MW of wind farm is used to test the performance of the LMD fault detection scheme. To achieve the fault detection task, 3-phase instantaneous current signals are processed through LMD and corresponding product functions, instantaneous amplitudes (IA’s) of the product functions along with the frequency modulation information is extracted. Further, IA of dominated product function is used to detect the abnormalities in the input signal by using a pre-defined threshold value. The performance of the proposed scheme is tested on different faults by varying the fault parameters like location, inception and fault resistance. Simulation studies are extended to test the efficacy of the protection algorithm during non-fault events, typical remote end, and high-resistive faults. The proposed scheme is able to classify the faults along with detection is an additional advantage.


Keywords


Fault detection; Wind farm; Local mean decomposition

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DOI (PDF): https://doi.org/10.20508/ijrer.v14i2.14325.g8899

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