基于CEEMDAN算法的光伏功率信号光滑降噪

Smoothing Denoising for Photovoltaic Power Signal Based on CEEMDAN Algorithm

为解决光伏高输出功率低频分解及光滑降噪问题,通过引入曲线降噪权重因子,改进传统经验模态分解方法,提出一种光滑度与相似度更好的光伏输出功率自适应完备集合经验模态分解算法。为验证CEEMDAN算法的降噪优异特性,对典型光伏输出功率信号开展了模态分解仿真研究,仿真结果表明,相对于与传统EEMD算法,采用CEEMDAN算法时,当IMF为3、目标函数为最小时,相似度提升了3.26%,光滑度提升了85.6%,各项指标数据更加完备,降噪效果更好。

For solving the problem of high output power,low frequency decomposition and smooth denois⁃ing of photovoltaic,a kind of complete ensemble empirical mode decomposition with adaptive noise algo⁃rithm with better smoothness and similarity is proposed by way of introducing the weighted factor of curve denoising and improving the traditional empirical mode decomposition.In order to verify the excellent de⁃noising characteristics of CEEMDAN algorithm,the modal decomposition simulation research of typical photovoltaic output power signal is carried out.The simulation results show that compared with the tradi⁃tional EEMD algorithm,when the CEEMDAN algorithm is used,the similarity is improved by 3.26%and the smoothness is improved by 85.6%under the condition of IMF being 3 and of minimum target function,and the data of various indexes are more complete and the denoising effect is much better.