Influence of Adding BESS as Ancillary Controller of Wind Power Plant on Low Frequency Oscillation

The National Renewable Energy Laboratory (NREL) started a project in 2000 to record long-term, high-frequency (1-Hz) wind power output data from large commercial wind power plants. Outputs from about 330 MW of wind generating capacity from wind power plants in Buffalo Ridge, Minnesota, 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 magnitudes and rates of changes in the levels of wind power. Analyses of power data confirm that spatial separation greatly reduces variations in the combined wind power output relative to output from 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.

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Preliminary Study on the Influence of Wind Power on Low-Frequency Oscillation under Outward Transmitting Thermal Generated Power Bundled with Wind Power Typical Scene

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.391.271 ◽

2013 ◽

Vol 391 ◽

pp. 271-276

Author(s):

Peng Li ◽

Ning Bo Wang ◽

De Zhi Chen ◽

Xiao Rong Zhu ◽

Yun Ting Song

Keyword(s):

Power Systems ◽

Power System ◽

Wind Power ◽

Wind Farm ◽

Reactive Power ◽

Simulation Analysis ◽

Low Frequency ◽

Simulation Software ◽

Frequency Oscillation ◽

Low Frequency Oscillation

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.

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Analysis on the Influence of Wind Power Participating in Frequency Modulation on Low-frequency Oscillation in Yunnan Power Grid

Journal of Physics Conference Series ◽

10.1088/1742-6596/1748/5/052030 ◽

2021 ◽

Vol 1748 ◽

pp. 052030

Author(s):

Lei Yang ◽

Jingye Gao ◽

Zun Ma ◽

Wei Huang ◽

Dan Zhang ◽

...

Keyword(s):

Wind Power ◽

Frequency Modulation ◽

Power Grid ◽

Low Frequency ◽

Frequency Oscillation ◽

Low Frequency Oscillation

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Output Power Correlation Between Adjacent Wind Power Plants*

Journal of Solar Energy Engineering ◽

10.1115/1.1626127 ◽

2003 ◽

Vol 125 (4) ◽

pp. 551-555 ◽

Cited By ~ 33

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.

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Research on improving low frequency oscillation characteristics of wind power system with DFIG-PSS-VI

E3S Web of Conferences ◽

10.1051/e3sconf/202125202001 ◽

2021 ◽

Vol 252 ◽

pp. 02001

Author(s):

Ping He ◽

Mingming Zheng ◽

Zhao Li ◽

Qiyuan Fang ◽

Xiaopeng Wu

Keyword(s):

Power System ◽

Wind Power ◽

Reactive Power ◽

Low Frequency ◽

Step Response ◽

Frequency Oscillation ◽

Low Frequency Oscillation ◽

New Energy ◽

Wind Power System ◽

Virtual Impedance

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.

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