TY - JOUR
T1 - Simulation of power fluctuation of wind farms based on frequency domain
T2 - Part one. Model and analysis technique
AU - Lin, Jin
AU - Sun, Yuanzhang
AU - Li, Guojie
AU - Cheng, Lin
AU - Li, Xiong
AU - Sørensen, Poul Ejnar
PY - 2011
Y1 - 2011
N2 - With the capacity of installed wind power generators steadily increasing in China, power fluctuation from wind farms will significantly affect the security and reliability of the power system. Traditional modeling of power fluctuation is based on the time domain or statistics methodology which, however, is incapable of completely explaining the physical mechanism of randomness of power fluctuation. To remedy such a situation, fluctuation modeling based on the frequency domain is proposed. The frequency domain characteristics of stochastic fluctuation on large wind farms are studied using the power spectral density of wind speed, the frequency domain model of a wind power generator and the information on weather and geography of the wind farms. The correctness and effectiveness of the model are verified by comparing the measurement data with simulation results of a certain wind farm. © 2011 State Grid Electric Power Research Institute Press.
AB - With the capacity of installed wind power generators steadily increasing in China, power fluctuation from wind farms will significantly affect the security and reliability of the power system. Traditional modeling of power fluctuation is based on the time domain or statistics methodology which, however, is incapable of completely explaining the physical mechanism of randomness of power fluctuation. To remedy such a situation, fluctuation modeling based on the frequency domain is proposed. The frequency domain characteristics of stochastic fluctuation on large wind farms are studied using the power spectral density of wind speed, the frequency domain model of a wind power generator and the information on weather and geography of the wind farms. The correctness and effectiveness of the model are verified by comparing the measurement data with simulation results of a certain wind farm. © 2011 State Grid Electric Power Research Institute Press.
KW - Remote sensing and measurement technique
KW - Fjernmåling og måleteknik
M3 - Tidsskriftartikel
SN - 1000-1026
VL - 35
SP - 65
EP - 69
JO - Dianli Xitong Zidonghua
JF - Dianli Xitong Zidonghua
IS - 4
ER -