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With the continuous development of new power technology, the number of new access equipment in the power system has shown a continuous growth trend, and the accompanying harmonic hazards have also become a necessary concern. In order to solve these problems, this article proposes a harmonic high -speed identification technology based on digital twin technology. This technology uses a compressed sensing method to sample the electrical energy quality signal at a rate below Naquist sampling rate, and stores more information with lower data volume to accelerate data collection speed. In terms of information recovery, this article uses the orthogonal matching tracking algorithm to realize the recovery of the compressed perception signal. In order to increase the speed of signal recovery, this article uses digital twin technology to model the collection nodes and computing power nodes, and combined with decentralized calculation methods, the artificial hummingbird algorithm is used as a signal recovery adjustment. Through experimental verification, the signal collected by compression perception can be well reproduced the spectrum of the original signal after recovery, which is convenient for harmonic identification; It has been further improved.
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Jiang et al. (2024) studied this question.
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