基于 Lyapunov 指数的电力系统短期负荷预测

采用非线性系统理论对电力系统历史负荷数据序列进行了特征分析,计算出Ｌｙａｐｕｎｏｖ指数,并利用该Ｌｙａ－ｐｕｎｏｖ指数模式进行短期负荷预测,进而提出短期负荷预测的时间尺度的概念。这种方法不利用气候和气温等数据,只利用电力系统一维峰值负荷历史数据计算出过去的变动模式进行负荷预测,就可以得到较高的预测精度。对东北电网实际负荷数据进行了预测,结果令人满意,从而为电力系统短期负荷预测提供了一种新的预测方法。     

Synthesis and characterization of ZnO-In2O3 junction structure

Rod-shaped ZnO-In₂O₃ junction structure was obtained by bottom up approach of nanostructure fabrication and characterization. In₂Zn₃ alloy was evaporated in a tube furnace of 1150 °C temperature and 5 × 10⁻¹ Torr vacuum. The deposit collected on silicon wafer placed down stream of the tube furnace was examined by scanning electron microscope (SEM), energy dispersive x-ray spectroscopy (EDS), and transmission electron microscopy (TEM). SEM and EDS results proved the existence of rod-shaped ZnO-In₂O₃ junction structure. TEM analysis revealed the orientation relationship between ZnO and In₂O₃. It is suggested that this structure is formed via vapor-liquid-solid process and the suitable combination of source temperature, tube vacuum, and substrate temperature is the key for the formation of such novel structure. This report demonstrates the possibility of fabricating junction structure by bottom up approach, expanding its capability of fabricating structure with desired properties.     

基于Lyapunov指数的电力系统短期负荷预测

采用非线性系统理论对电力系统历史负荷数据序列进行了特征分析,计算出Ｌｙａｐｕｎｏｖ指数,并利用该Ｌｙａｐｕｎｏｖ指数模式进行短期负荷预测,进而提出短期负荷预测的时间尺度的概念,这种方法不复气候和气温等数据,只利用电力系统一维峰值负荷历史数据计算出过去的变动模式进行负荷预测,就可以得到较高的预测精度,对东北电网实际负荷数据进行了预测,结果令人满意,从而为电力系统短期负荷预测提供了一种新的预测方法。