Harmonic Estimation Algorithm for Power System Based on ImprovedMUISC and Linear Neural Networks

摘要

The paper proposes harmonic estimation algorithm for power system based on Multiple Signal Classification(MUSIC) and linear neural network because of the insufficiency of harmonic frequency estimation algorithm. The conventionalMUSIC algorithm has the advantage of higher estimation accuracy, while the disadvantage is that the computationalcomplexity is high and it cannot estimate the harmonic phase and amplitude. In the paper, a new harmonic estimationalgorithm for power system is constructed with combining the MUSIC algorithm, the multistage Wiener filter(MSWF) and linear neural network. Theoretic analysis and simulation experiments show that the requirement to data isrelatively low, and has good harmonic estimation accuracy and reliability.