The Open Electrical & Electronic Engineering Journal

2015, 9 : 524-529
Published online 2015 October 28. DOI: 10.2174/1874129001509010524
Publisher ID: TOEEJ-9-524

Harmonic Frequency Estimation Algorithm Based on MSWF in Power System

Cao Zhe , Sun Xiangwen and Niu Xinwen
School of Electrical Engineering, Henan University of Science and Technology, Luoyang, 471023, P.R. China.

ABSTRACT

This paper pointed out the disadvantage of harmonic frequency estimation algorithm in current power system, presented the MUSIC (multiple signal classification)-based harmonic frequency estimation algorithm in power system, and analyzed the computational complexity of the MUSIC algorithm. In order to reduce the computational complexity of conventional MUSIC algorithm and to increase the real-time characteristic of harmonic frequency estimation algorithm, we combined the multi-stage wiener filter (MSWF) recursive algorithm and MUSIC algorithm so as to avoid the subspace decomposition process of the conventional MUSIC algorithm, thus realizing the purpose of significantly reducing the computational complexity of the MUSIC algorithm. Through theoretical analysis and simulation experiments, we find that the algorithm proposed in this paper is of excellent resolution characteristic, and less dependent on data volume.

Keywords:

Harmonic frequency estimation, MSWF, Rapid subspace decomposition.