Technical Briefs

Operation and Simulation of Hybrid Wind and Gas Turbine Power System Employing Wind Power Forecasting

[+] Author and Article Information
Junrong Xia

e-mail: xiajnrng@gmail.com

Pan Zhao

e-mail: climber.zhao@gmail.com

Yiping Dai

e-mail: ypdai@mail.xjtu.edu.cn
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 134(12), 124501 (Oct 22, 2012) (5 pages) doi:10.1115/1.4007419 History: Received June 27, 2012; Revised August 16, 2012

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.

Copyright © 2012 by ASME
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Fig. 1

Schematic diagram of the hybrid power system

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Fig. 2

Configuration of the model of a variable speed wind turbine with DFIG

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Fig. 3

Detailed Rowen's gas turbine model

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Fig. 4

Outline of the wind power forecasting system

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Fig. 5

Simulation environment of the experimental hybrid power system

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Fig. 6

Simulation results (a) wind power forecasting results (b) simulation results of the hybrid system




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