摘要
针对风电系统负荷调峰问题,以减少调峰机组的爬坡出力次数与能源消耗为目的,提出了一种基于小波分析的负荷调峰方法。该方法采用近似对称光滑的紧支撑双正交小波db4(Daubechies函数)作为小波基,通过多分辨分析的Mallat算法对预测等效负荷进行2尺度分解,并将其中低频基础负荷分配给负荷调峰机组。仿真算例将该方法与未含小波分析的负荷调峰方法进行了对比,比较结果证明了其调峰性能优于后者。这表明该方法具有良好的调峰性能,能使调峰机组出力较为平缓,有效减轻对调峰机组的损耗和减少能源的消耗。
As to peak load regulation problem of wind power system,a peak load regulation method based on wavelet analysis is proposed in this paper to reduce the climbing power output times of regulation units and energy consumption.This method adopts the supported biorthogonal wavelet db4（Daubechies function） with approximate symmetry smooth compactly as the wavelet bases,and uses the multiresolution analysis Mallat algorithm to decompose the predicted equivalent load to 2 scale.The basic load of the predicted equivalent load is distributed to the regulation unit.This method and another peak load regulation method without wavelet analysis are contrasted in the simulation example,and the comparative results prove that its peak load regulation performance is better than that of the latter,which indicates that this method has a good peak load regulation performance,can make the power output of regulation units more quietly,and effectively reduces the losses of regulation unit and energy consumption.
出处
《现代电力》
2011年第3期66-69,共4页
Modern Electric Power
基金
国家自然科学基金(51007030)
中央高校基本科研业务费专项资金(21611420)
国家大学生创新性实验计划基金(101055937)
关键词
风电系统
负荷调峰
预测等效负荷
小波分析
wind power system
peak load regulation
predicted equivalent load
wavelet analysis
