Analysis and Control on Oscillation Characteristics of Smart Grid with Large-Scale Wind Power Integration

2013 ◽  
Vol 732-733 ◽  
pp. 1342-1347
Author(s):  
Jia Chen Zhong ◽  
Wen Ying Liu ◽  
Wei Zheng

To deal with the problem of large-scale wind power integration and its influence on low frequency oscillation characteristics of Gansu power network, this paper built the low frequency oscillation simulation model with large amount of wind power integration, and proposed an index, namely grid structural weakness degree, based on the damping ratio index, to investigate low frequency oscillation characteristics. The simulation shows that the damping ratio decreases as the wind turbine output increases; and when the damping ratio is lower than 3%, or weakness degree lower than 4, it is more likely to cause low frequency oscillation in Gansu power network, and early-warning should be taken. The analysis provides a reference for low frequency oscillation early-warning and control.

2019 ◽  
Vol 17 (3) ◽  
pp. 241-251
Author(s):  
Ancheng Xue ◽  
Jiawei Wang ◽  
Chao Zheng ◽  
Joe H. Chow ◽  
Tianshu Bi

Vacuum ◽  
2021 ◽  
pp. 110320
Author(s):  
Tianyuan Ji ◽  
Liqiu Wei ◽  
Haifeng Lu ◽  
Shangmin Wang ◽  
Ning Guo ◽  
...  

2013 ◽  
Vol 391 ◽  
pp. 271-276
Author(s):  
Peng Li ◽  
Ning Bo Wang ◽  
De Zhi Chen ◽  
Xiao Rong Zhu ◽  
Yun Ting Song

Increasing penetration level of wind power integration has a significant impact on low-frequency oscillations of power systems. Based on PSD-BPA simulation software, time domain simulation analysis and eigenvalue analysis are employed to investigate its effect on power system low-frequency oscillation characteristic in an outward transmitting thermal generated power bundled with wind power illustrative power system. System damping enhances markedly and the risk of low-frequency oscillation reduce when the generation of wind farm increase. In addition, dynamic reactive power compensations apply to wind farm, and the simulation result indicates that it can improve dynamic stability and enhance the system damping.


2021 ◽  
Vol 252 ◽  
pp. 02001
Author(s):  
Ping He ◽  
Mingming Zheng ◽  
Zhao Li ◽  
Qiyuan Fang ◽  
Xiaopeng Wu

The new energy represented by strong random wind power connecting to the power system may make the problem of inter-area low-frequency oscillation more serious. In this paper, a DFIG-PSS controller based on virtual impedance is constructed to solve the low-frequency oscillation problem in the wind power system. The step response of PSS-VI was carried out to test the effect of the controller to verify the advantages of PSS-VI than traditional PSS. The input signal of PSS-VI which is a controller based on PSS installed virtual impedance is the active power of DFIG. The output signal of PSS-VI is added to the reactive power control loop of rotor side controller of DFIG. DFIG-PSS-VI was built in Digsilent/Powerfactory software, and the simulation was carried out on the system of 4 machines and 2 regions. It is verified that PSS-VI can improve the low-frequency oscillation of wind power system.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Dongbao Jia ◽  
Cunhua Li ◽  
Qun Liu ◽  
Qin Yu ◽  
Xiangsheng Meng ◽  
...  

Low frequency oscillation is an important attribute of human brain activity, and the amplitude of low frequency fluctuation (ALFF) is an effective method to reflect the characteristics of low frequency oscillation, which has been widely used in the treatment of brain diseases and other fields. However, due to the low accuracy of the current analysis methods for low frequency signal extraction of ALFF, we propose the Fourier-based synchrosqueezing transform (FSST), which is often used in the field of signal processing to extract the ALFF of the low frequency power spectrum of the whole-time dimension. The low frequency characteristics of the extracted signal are compared with those of FSST and fast Fourier transform (FFT) through the resting-state data. It is clear that the signal extracted by FSST has more low frequency characteristics, which is significantly different from FFT.


2017 ◽  
Vol 2017 (13) ◽  
pp. 1299-1306 ◽  
Author(s):  
Yushu Sun ◽  
Hua Ye ◽  
Xiaozhe Sun ◽  
Fufeng Miao

Sign in / Sign up

Export Citation Format

Share Document