Abstract
In this paper, the drawbacks of current harmonic frequency estimation algorithm in power system are pointed out. In order to improve the detection accuracy and reduce the computational complexity, a new harmonic estimation algorithm for power system is proposed by combining the ESPRIT algorithm with linear neural network. Theoretic analysis and simulation experiments indicated that the new algorithm has super resolution characteristics, ideally suited for harmonic analysis in power system.
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