A Data Driven Method for Wind Power Curve Simulation under Typhoon Influence in Large Power Grid

Abstract

Generation of the wind farm is highly sensitive to changes in weather conditions, especially to the extreme weather events such as typhoons, in comparison with the traditional power sources and loads. For a power system with increasing wind power installation, it is important to evaluate the safety and reliability of the system against the impact of extreme meteorological event like typhoon. In this paper, a data driven model to simulate the power sequence of wind farms during typhoon events are proposed, which is helpful for the reliability evaluation of a planned power system with high wind power penetration. Firstly, the basic shape segments are identified and collected from the historical wind power curves during typhoons. Then power curves are coded into segment sequence to form the typhoon-related wind power curve library. Finally, simulation on the new typhoon events and new wind farms can be carried out by random sampling in above model library according to the typhoon intensity and path. Historical data of wind farms in Guangdong, China is applied to verify the model. The results show that the wind power sequences generated by the proposed method well reflect the statistical and time-domain characteristics of the wind power during the typhoon event.