A Non-Stationary Analysis of Low-Frequency Electromechanical Oscillations Based on a Refined Margenau-Hill Distribution

作者：Hatami Mohammadreza^*; Farrokhifard Mohammadreza; Parniani Mostafa

来源：IEEE Transactions on Power Systems, 2016, 31(2): 1567-1578.

DOI：10.1109/TPWRS.2015.2428893

• Modal estimation
• power system ringdowns
• quadratic time-frequency distributions
• small signal stability.

This paper focuses on the use of quadratic time-frequency distributions ( QTFDs) to characterize the temporal variation of low-frequency electromechanical oscillations (LFEOs) using ringdown data. A refined Margenau-Hill distribution (MHD) and a procedure to extract the instantaneous frequencies and damping factors as well as initial phase angles of system low-frequency modes when the analyzed signal is multi-component are proposed. The refinement process enjoys a fast-converging iterative algorithm and without loss of generality it can be applied to other QTFDs for using in other applications. A non-stationary synthetic signal as well as simulated ringdown data of a 5-area, 16-machine power system and real measured data of Western Systems Coordinating Council (WSCC) system are used to demonstrate the efficiency of the proposed method in the presence of measurement noise.

• 出版日期2016-3