Electrical Faults Signals Restoring Based on Compressed Sensing Techniques

作者: Milton Ruiz , Iván Montalvo

DOI: 10.3390/EN13082121

关键词: Compressed sensingMatching pursuitSignalPower (physics)Sampling (signal processing)PhasorAlgorithmComputer scienceBasis pursuit

摘要: This research focuses on restoring signals caused by power failures in transmission lines using the basis pursuit, matching and orthogonal pursuit sensing techniques. The original signal corresponds to instantaneous current voltage values of electrical system. heuristic known as brute force is used find quasi-optimal number atoms k signal. Next, we search for minimum samples m; this value necessary reconstruct from sparse random samples. Once m have been identified, restoration performed sampling data at other bus bars Basis allows recovering 70% same higher samples, longer times, approximately 12 s entire Matching percentage, but with lowest time. Finally, recovers a slightly lower percentage significant increase its recovery Therefore, real-time fault applications, best selection will be due fact that it presents machine time, requires more compared pursuit. require fewer despite these processing time recovery. These two techniques can reduce volume stored phasor measurement systems.

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