scholarly journals Inertial Control of a DFIG-based Wind Power Plant using the Maximum Rate of Change of Frequency and the Frequency Deviation

2015 ◽  
Vol 10 (2) ◽  
pp. 496-503 ◽  
Author(s):  
Hyewon Lee ◽  
Jinho Kim ◽  
Don Hur ◽  
Yong Cheol Kang
Keyword(s):  
Power Plant ◽  
Wind Power ◽  
Maximum Rate ◽  
Rate Of Change ◽  
Frequency Deviation ◽  
Wind Power Plant ◽  
Inertial Control

scholarly journals Virtual Inertial Control of a Wind Power Plant using the Maximum Rate of Change of Frequency

2013 ◽  
Vol 62 (7) ◽  
pp. 918-924
Author(s):  
Dooyeon Kim ◽  
Jinho Kim ◽  
Jinshik Lee ◽  
Yeon-Hee Kim ◽  
Yeong-Han Chun ◽  
...  
Keyword(s):  
Power Plant ◽  
Wind Power ◽  
Maximum Rate ◽  
Rate Of Change ◽  
Wind Power Plant ◽  
Inertial Control

Output Power Correlation Between Adjacent Wind Power Plants*

2003 ◽  
Vol 125 (4) ◽  
pp. 551-555 ◽  
Author(s):  
Yih-huei Wan ◽  
Michael Milligan ◽  
Brian Parsons
Keyword(s):  
Power Plant ◽  
Wind Power ◽  
High Frequency ◽  
Power Plants ◽  
Meteorological Data ◽  
Low Frequency ◽  
Spatial Separation ◽  
Rate Of Change ◽  
Wind Power Plant ◽  
Wind Power Plants

The National Renewable Energy Laboratory (NREL) started a project in 2000 to record long-term, high-frequency (1-Hz) wind power data from large commercial wind power plants in the Midwestern United States. Outputs from about 330 MW of installed wind generating capacity from wind power plants in Lake Benton, MN, and Storm Lake, Iowa, are being recorded. Analysis of the collected data shows that although very short-term wind power fluctuations are stochastic, the persistent nature of wind and the large number of turbines in a wind power plant tend to limit the magnitude of fluctuations and rate of change in wind power production. Analyses of power data confirms that spatial separation of turbines greatly reduces variations in their combined wind power output when compared to the output of a single wind power plant. Data show that high-frequency variations of wind power from two wind power plants 200 km apart are independent of each other, but low-frequency power changes can be highly correlated. This fact suggests that time-synchronized power data and meteorological data can aid in the development of statistical models for wind power forecasting.

Releasable Kinetic Energy-Based Inertial Control of a DFIG Wind Power Plant

2016 ◽  
Vol 7 (1) ◽  
pp. 279-288 ◽  
Author(s):  
Jinsik Lee ◽  
Eduard Muljadi ◽  
Poul Sorensen ◽  
Yong Cheol Kang
Keyword(s):  
Power Plant ◽  
Kinetic Energy ◽  
Wind Power ◽  
Wind Power Plant ◽  
Inertial Control

scholarly journals Rotor Speed-based Droop of a Wind Generator in a Wind Power Plant for the Virtual Inertial Control

2013 ◽  
Vol 8 (5) ◽  
pp. 1021-1028 ◽  
Author(s):  
Jinsik Lee ◽  
Jinho Kim ◽  
Yeon-Hee Kim ◽  
Yeong-Han Chun ◽  
Sang Ho Lee ◽  
...  
Keyword(s):  
Power Plant ◽  
Wind Power ◽  
Wind Power Plant ◽  
Rotor Speed ◽  
Wind Generator ◽  
Inertial Control

scholarly journals Dynamic Droop-based Inertial Control of a Wind Power Plant

2015 ◽  
Vol 10 (3) ◽  
pp. 1363-1369 ◽  
Author(s):  
Min Hwang ◽  
Yeong-Han Chun ◽  
Jung-Wook Park ◽  
Yong Cheol Kang
Keyword(s):  
Power Plant ◽  
Wind Power ◽  
Wind Power Plant ◽  
Inertial Control
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