Short-Term Forecasting of Wind Farm Groups in Beijing-Tianjin-Tangshan Power Grid

doi:10.11930/j.issn.1004-9649.2013.9.65.5

Abstract

Abstract: With large-scale integration of wind power, it is important for the safe, stable and economic operation of regional power grid to strengthen the power forecasting of the regional wind farm group. Based on the specific features of wind farm group in Beijing-Tianjin-Tangshan power grid, a short-term wind forecasting model is established by using the physical modeling method, and the statistical up-scaling technology is combined with the physical model to enhance its precision. A wind power prediction system is built with the three-layer architecture for Beijing-Tianjin-Tangshan power grid, and has been applied to the engineering project. It has been proved that this method can effectively predict the wind power of the Beijing-Tianjin-Tangshan region, and can significantly increase the wind power absorptive capacity of Beijing-Tianjin-Tangshan power grid, and improve the lean level of power grid dispatching.

Key words: wind power, power forecast, regional grid, numerical weather prediction, statistical up-scaling

CLC Number:

TM73

TIAN Chao, CHEN Ying, ZHANG Ben, ZHANG Tao, WANG Zhi-jia. Short-Term Forecasting of Wind Farm Groups in Beijing-Tianjin-Tangshan Power Grid[J]. Electric Power, 2013, 46(9): 65-70.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2013.9.65.5

https://www.electricpower.com.cn/EN/Y2013/V46/I9/65

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