Open AccessWind Farm Harmonic Impedance Estimation Based on Stochastic Subspace Method
Author(s) -
Chunlei Jiao,
Zhao Zhi,
Bing Hou,
Zhen Wang,
Yongjun Cai
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/371/2/022052
Subject(s) - electrical impedance , harmonic , control theory (sociology) , stability (learning theory) , wind power , mathematics , engineering , computer science , acoustics , physics , electrical engineering , control (management) , artificial intelligence , machine learning
Wind farm harmonic impedance is important parameter of wind farm. It has an important influence on stability calculation, stability analysis and stability assessment. To solve this problem that wind farm harmonic impedance is considered as static parameter, an assessment method of wind farm harmonic impedance based on output-error model parameter estimation is proposed. A simplified treatment for the wind farm PCC model is made. The simplified model is transformed into two-node equivalent model. And then the amplitude-frequency characteristic of wind farm harmonic impedance is gained by using the output-error model parameter estimation. The simulation result and outdoor test result illustrate the effectiveness of the proposed method. The proposed method takes a new direction with model identification and system analysis of wind farm harmonic impedance.