Liang, S.-Y., Li, M., Li, P. and Chen, G. (2007) Algorithm of Real-Time Detection Low-Frequency Oscillation in Power System Base on the SCADA Data. Southern Power System Technology, 1, 40-42.

has been cited by the following article:

• TITLE: A New Method for Visual Real-Time Monitoring of Low Frequency Oscillation

  AUTHORS: Bo-Jian Wen, Shi-Ming Li, Chong-Wen Zhou, Jun Luo, Fang-Zong Wang

  KEYWORDS: Low Frequency Oscillation, Incomplete S-Transform, Real-Time Monitoring, Visual, GPU

  JOURNAL NAME: Smart Grid and Renewable Energy, Vol.6 No.4, April 23, 2015

  ABSTRACT: Visual real-time monitoring is the premise of low frequency oscillation control in power grids. This paper showed a visual method for the control center of power grids to monitor low frequency oscillation. It processed the PMU real-time data with incomplete S-transform, and converted the waveforms to two-dimensional time-frequency figures which showed the initial time, frequency and amplitude of each low frequency oscillation mode directly. GPU was used to show figures and calculate FFT with the purpose of improving calculation efficiency. The results of practical cases show that the real-time characters of low frequency oscillation can be identified availably by this visualization real-time monitoring method which is helpful and suitable for practical application.