Short term oscillator frequency stability as a function of its phase noise distribution

2002 ◽  
Author(s):  
D. Elad ◽  
A. Madjar
Keyword(s):  
Phase Noise ◽  
Frequency Stability ◽  
Noise Distribution ◽  
Short Term ◽  
Oscillator Frequency

Phase Noise Impact on the Short-Term Frequency Stability of a Frequency Source

2020 ◽  
pp. 1-12
Author(s):  
Md. Tosicul Wara ◽  
M. S. Bhuvaneshwari ◽  
M. R. Raghavendra ◽  
Usha Bhandiwad
Keyword(s):  
Phase Noise ◽  
Frequency Stability ◽  
Short Term ◽  
Term Frequency ◽  
Noise Impact ◽  
Frequency Source

Real‐time optimisation of short‐term frequency stability controls for a power system with renewables and multi‐infeed HVDCs

2018 ◽  
Vol 12 (13) ◽  
pp. 1462-1469 ◽  
Author(s):  
Luping Wang ◽  
Xiaorong Xie ◽  
Xiaoliang Dong ◽  
Ying Liu ◽  
Hongming Shen
Keyword(s):  
Power System ◽  
Real Time ◽  
Frequency Stability ◽  
Short Term ◽  
Term Frequency

scholarly journals LSSVR Model of G-L Mixed Noise-Characteristic with Its Applications

Entropy ◽  
2020 ◽  
Vol 22 (6) ◽  
pp. 629 ◽  
Author(s):  
Shiguang Zhang ◽  
Ting Zhou ◽  
Lin Sun ◽  
Wei Wang ◽  
Baofang Chang
Keyword(s):  
Wind Speed ◽  
Regression Models ◽  
Historical Data ◽  
Least Square ◽  
Noise Model ◽  
Noise Distribution ◽  
Short Term ◽  
Mixed Noise ◽  
Noise Models ◽  
Better Than

Due to the complexity of wind speed, it has been reported that mixed-noise models, constituted by multiple noise distributions, perform better than single-noise models. However, most existing regression models suppose that the noise distribution is single. Therefore, we study the Least square S V R of the Gaussian–Laplacian mixed homoscedastic ( G L M − L S S V R ) and heteroscedastic noise ( G L M H − L S S V R ) for complicated or unknown noise distributions. The ALM technique is used to solve model G L M − L S S V R . G L M − L S S V R is used to predict short-term wind speed with historical data. The prediction results indicate that the presented model is superior to the single-noise model, and has fine performance.

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