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A non-stationary analysis of low-frequency electromechanical oscillations based on a refined margenau-hill distribution

Hatami, M ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/TPWRS.2015.2428893
  3. Publisher: Institute of Electrical and Electronics Engineers Inc
  4. Abstract:
  5. 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
  6. Keywords:
  7. Modal estimation ; Power system ringdowns ; Quadratic time-frequency distributions ; Small signal stability ; Algorithms ; Iterative methods ; Electromechanical oscilla-tions ; Instantaneous frequency ; Iterative algorithm ; Low-frequency modes ; Margenau-hill distribution ; Non-stationary analysis ; Presence of measurement noise ; Quadratic time-frequency ; Circuit oscillations
  8. Source: IEEE Transactions on Power Systems ; Volume 31, Issue 2 , 2016 , Pages 1567-1578 ; 08858950 (ISSN)
  9. URL: http://ieeexplore.ieee.org/document/7105431