Due to the intermittence and fluctuation of wind resource, the integration of large wind farms in a power grid always brings challenges to maintain the stability of a power system. Integrating gas turbine units with wind farms can compensate for their output fluctuation. A methodology for the operation scheduling of a hybrid power system that consists of a large wind farm and gas turbine units is presented. A statistical model based on numerical weather prediction is used to forecast power output of the wind farm. Forecasts of wind power are used for optimizing the operation scheduling. Dynamic modeling of this hybrid power system is addressed. Simulation studies are carried out to evaluate the system performance using real weather data. The simulation results show that the proposed hybrid power system can compensate fluctuating wind power effectively and make wind power more reliable.
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December 2012
In-Brief
Operation and Simulation of Hybrid Wind and Gas Turbine Power System Employing Wind Power Forecasting
Yiping Dai
Yiping Dai
e-mail: ypdai@mail.xjtu.edu.cn
Xi'an Jiaotong University,
Institute of Turbomachinery
,Xi'an Jiaotong University,
Xi'an, Shaanxi, 710049
, P. R. China
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Junrong Xia
e-mail: xiajnrng@gmail.com
Pan Zhao
e-mail: climber.zhao@gmail.com
Yiping Dai
e-mail: ypdai@mail.xjtu.edu.cn
Xi'an Jiaotong University,
Institute of Turbomachinery
,Xi'an Jiaotong University,
Xi'an, Shaanxi, 710049
, P. R. China
Contributed by the Electric Power Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received June 27, 2012; final manuscript received August 16, 2012; published online October 22, 2012. Editor: Dilip R. Ballal.
J. Eng. Gas Turbines Power. Dec 2012, 134(12): 124501 (5 pages)
Published Online: October 22, 2012
Article history
Received:
June 27, 2012
Revision Received:
August 16, 2012
Citation
Xia, J., Zhao, P., and Dai, Y. (October 22, 2012). "Operation and Simulation of Hybrid Wind and Gas Turbine Power System Employing Wind Power Forecasting." ASME. J. Eng. Gas Turbines Power. December 2012; 134(12): 124501. https://doi.org/10.1115/1.4007419
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