A Calculation Method for Power System Frequency Deviation Considering Intensity of Turbulence

2017 ◽  
Vol 201 (1) ◽  
pp. 13-24
Author(s):  
JUNJI TAMURA ◽  
KAZUKI KAWAMATA ◽  
RION TAKAHASHI ◽  
ATSUSHI UMEMURA ◽  
MAMORU KIMURA ◽  
...  
2015 ◽  
Vol 135 (4) ◽  
pp. 224-232
Author(s):  
Junji Tamura ◽  
Kazuki Kawamata ◽  
Rion Takahashi ◽  
Atsushi Umemura ◽  
Mamoru Kimura ◽  
...  

2013 ◽  
Vol 133 (9) ◽  
pp. 723-724 ◽  
Author(s):  
Junji Tamura ◽  
Kazuki Kawamata ◽  
Rion Takahashi ◽  
Atsushi Umemura

2013 ◽  
Vol 291-294 ◽  
pp. 407-414 ◽  
Author(s):  
Guo Peng Zhou ◽  
Fu Feng Miao ◽  
Xi Sheng Tang ◽  
Tao Wu ◽  
Shan Ying Li ◽  
...  

The output power of wind farms has significant randomness and variability, which results in adverse impacts on power system frequency stability. This paper extracts wind power fluctuation feature with the HHT (Hilbert-Huang Transform) method. Firstly, the original wind power data was decomposed into several IMFs (Intrinsic Mode Functions) and a tendency component by using the EMD (Empirical Mode Decomposition) method. Secondly, the instantaneous frequency of each IMF was calculated. On this basis, taking a WSCC 9-bus power system as benchmark, the impact on power system frequency caused by wind power fluctuation was simulated in a real-time simulation platform, and the key component which results in the frequency deviation was found. The simulation results validate the wind power fluctuation impacts on frequency deviation, underlying the following study on power system frequency stability under the situation of large-scale intermittent generation access into the grid.


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