A Non-Stationary Analysis of Low-Frequency Electromechanical Oscillations Based on a Refined Margenau-Hill Distribution
| Autor: | Mohammadreza Hatami, Mohammadreza Farrokhifard, Mostafa Parniani |
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| Rok vydání: | 2016 |
| Předmět: |
Engineering
Noise measurement Iterative method business.industry Noise (signal processing) 020209 energy Mathematical analysis Energy Engineering and Power Technology 02 engineering and technology Low frequency Signal Time–frequency analysis Electric power system Quadratic equation Control theory 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering business |
| Zdroj: | IEEE Transactions on Power Systems. 31:1567-1578 |
| ISSN: | 1558-0679 0885-8950 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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