[H-RE13] Availability of earth science data in renewable energy field

[HRE13-05] Improvement of prediction of wind power generation output by using monitoring data

*Shinji Kadokura¹, Daisuke Nohara¹, Masamichi Ohba¹, Atsushi Hashimoto¹, Keisuke Nakao¹, Yasuo Hattori¹, Takeshi Watanabe¹, Hiromaru Hiraguchi¹ (1.Central Research Institute of Electric Power Industry)

Keywords:wind power generation, Weather forecast, SCADA, Power output prediction

Introduction of power generation by renewable energy such as photovoltaics(PV) and wind power (WT) is worldwidely progressing. Since PV and WT power generation are markedly fluctuated due to the change of the wheather, there is concern about the stability of the electric power system. Therefore, we have been developing a prediction method of wind power generation output to contribute for the stabilization of electric power system.
In this method, the numerical forecast value provided by the Japan Meteorological Agency is downscaled using the weather model WRF and CFD model to predict the wind speed at the wind turbine, and the power output is predicted using the power curve. By adding the generated power output for each wind turbine obtained,
the total output of the area is obtained.
In this study, we have improved the prediction of wind speed and power generation output by using the monitoring data for each wind turbine, by making correction based on multiple regression and by using empirical power curve. By this improvement, the prediction error of the wind power generation output area total value is reduced by about 30%.