Open AccessCorrelation analysis between forced oscillation modes caused by wind power
Author(s) -
Wan Lyu,
Wen Gu,
Wu Xi,
Hongyu Yang,
Chen Jiang,
Shanshan Xu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1639/1/012062
Subject(s) - bicoherence , bispectrum , oscillation (cell signaling) , control theory (sociology) , spectral density , wind power , nonlinear system , power (physics) , electric power system , wind speed , physics , mathematics , computer science , meteorology , engineering , electrical engineering , statistics , control (management) , quantum mechanics , artificial intelligence , biology , genetics
With the increase of the grid-connected capacity of wind power, the influence of power system forced oscillation caused by wind power is becoming bigger and bigger, so it is necessary to understand its production mechanism and general characteristics. In this paper, the nonlinear and non-stationary signal generated by the unstable wind speed is analyzed to speculate the characteristics of wind-induced oscillation. Secondly, the bispectrum analysis and the bicoherence analysis are introduced. The obtained bispectrum and bicoherence coefficients are used to analyze the oscillation caused by wind power and the quadratic phase coupling relationship between oscillation modes. Finally, the simulation is operated considering small wind farm connected to a 4-generator-2-area (4G2A) system. The simulation results verify the correctness of the proposed speculation and the effectiveness of the proposed method.