CAJ | 학술논문

对湖南风电的混沌特性进行分析，采用自相关函数法和Cao方法求取风电功率时间序列的延迟时间和嵌入维数，并重构序列相空间，通过计算饱和关联维数和最大Lyapunov指数进行验证。结果表明，风电功率时间序列具备混沌特性，为基于混沌时间序列的风电功率预测奠定基础。
대호남풍전적혼돈특성진행분석，채용자상관함수법화Cao방법구취풍전공솔시간서렬적연지시간화감입유수，병중구서렬상공간，통과계산포화관련유수화최대Lyapunov지수진행험증。결과표명，풍전공솔시간서렬구비혼돈특성，위기우혼돈시간서렬적풍전공솔예측전정기출。
The chaotic characteristic analysis has been made on the wind power of Hunan province. The time delay and embedding dimension parameter for wind power time series are calculated by using the autocorrelation function method and the Cao method, and the sequence of phase space is reconstructed. Then its chaotic uncharacteristic is verified through calculating the saturation correlation dimension and the maximum Lyapunov exponent. And the results show that the wind power time series is of obvious chaotic characteristics,which has laid the foundation for the wind power forecasting based on chaotic time series.