摘要
为了合理调度大型并网型风力发电系统中的供电系统,降低供电系统的旋转备用容量和运行成本,对风力发电容量进行预测.利用非线性动力学的理论方法对并网型风力发电系统的发电容量-时间序列进行分析,以检验其是否存在混沌属性.通过对风力发电容量-时间序列进行低维非线性动力学建模,分析该时间序列呈现的混沌特性,该结果为基于混沌时间序列的风力发电容量预测奠定了基础.
In a grid connection wind power generation system, it is very important to predict the wind power generation capacity in scheduling the system and achieving low spinning reserve and optimal operating cost. The time series of wind power generating capacity are examined by nonlinear dynamical methods, in order to identify the chaos characteristics from its random-like waveform. Analysis of modeling with low dimension nonlinear dynamics indicates that the time series of wind power generation capacity have chaos characteristic, and that wind power-generating capacity can be predicted in a short time.
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2007年第12期1077-1080,共4页
Transactions of Beijing Institute of Technology
基金
国家自然科学基金资助项目(50777003)
关键词
风力发电
混沌属性
功率预测
wind power generation
chaos characteristics
power prediction