The Open Electrical & Electronic Engineering Journal

2015, 9 : 445-451
Published online 2015 September 30. DOI: 10.2174/1874129001509010445
Publisher ID: TOEEJ-9-445

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

Sun Ligong Ligong , Sun Xiangwen and Xiang Fei
Electrical Engineering College, Henan University of Science & Technology, Luoyang, Henan, 471023, P.R. China.

ABSTRACT

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 conventional MUSIC algorithm has the advantage of higher estimation accuracy, while the disadvantage is that the computational complexity is high and it cannot estimate the harmonic phase and amplitude. In the paper, a new harmonic estimation algorithm 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 is relatively low, and has good harmonic estimation accuracy and reliability.

Keywords:

Harmonic estimation , MSWF, fast subspace decomposition, neural network.