Estimation of Low Frequency Oscillation Parameters Using Singular Value Decomposition Combined Group Search Optimizer

Abstract

This article presents a scheme using singular value decomposition (SVD) combined group search optimizer (GSO) algorithm to estimate the parameters of low frequency oscillation (LFO) in power grids. Firstly, Mathematical morphology (MM) is adopted as a preprocessing method. Secondly, SVD is applied to identify the number of modes in a LFO event. Finally, parameters of each mode are identified and determined by GSO. In order to demonstrate the accuracy and efficiency of the scheme proposed in this article, three simulation cases are implemented, which use predefined parameters, real-time digital system and wide-area measurement signal data collected from North American SynchroPhasor Initiative, respectively. The analysis results indicate that the proposed scheme can be applied in real-time monitoring environment on digital signal processor platform within short computation time, even in heavy noisy environment.

Keywords:

• low frequency oscillation
• singular value decomposition
• group search optimizer
• real-time digital system
• wide-area measurement signal

Additional information

Funding

The work was funded by National Natural Science Foundation of China (No. 51207058), National Natural Science Foundation of China (No. 51307062) and Guangdong Innovative Research Team Program (No. 201001N0104744201).