电力系统短期负荷预测应用中小波函数选取的方法

Study on the Method of Choosing Wavelet Function to Forecast Short-Term Load of Power System

根据信号奇异性检测理论,提出了一种小波函数的选取方法:首先根据负荷序列的特点及短期负荷预测对小波函数的应用要求,粗选使用db(N)小波函数系进行分析;然后根据李普希兹指数与小波分解尺度及模极大值点之间的关系,找出可以检测到最大李氏指数的db小波,并结合小波重构对正则性的要求对N作出选择.算例说明了这种选取方法具有一定的合理性.

In the theory of signal irregularity detection, there is a close relationship between th scale of wavelet analysis and the maximum module with Lipschitz exponent. According to thi theory, the paper made a deep research on how to choose the most suitable wavelet function. Th paper firstly makes a raw analysis on the features of db（N） wavelet function on the base of th e S e e applicable requirement in short-term load forecasting, then finds out the just function that can check out the maximum Lipschitz exponent according to the relationship of Lipschitz exponent, deposes level and the maximum scale value. The research got a reasonable result for N.