Energy Storage Capacity Configuration Method of Photovoltaic Power Plants Based on ICEEMDAN-FFT

Aiming at the problem of pseudo-modals in the Complete Ensemble Empirical Mode Decomposition With Adaptive Noise (CEEMDAN), an improved Complete Ensemble Empirical Mode Decomposition With Adaptive Noise (ICEEMDAN) method is introduced to configure the energy storage capacity of photovoltaic power plants combined with Fast Fourier Transform (FFT) to obtain better economy. Firstly, the photovoltaic power is decomposed into a series of intrinsic mode components (IMFs) by ICEEMDAN, and the filter order is selected by mean of standardized accumulated modes(MSAM) to divide the high and low frequency which are compensated by the super capacitor and battery respectively. Secondly, FFT is performed on the reconstructed signal to obtain the control capacity corresponding to different time periods of the photovoltaic power plants; Finally, the energy storage configuration for smoothing the photovoltaic fluctuation is determined through spectrum analysis. The simulation results show that the proposed method is more economical than empirical mode decomposition (EMD), ensemble empirical mode decomposition (EEMD) and CEEMDAN while satisfying the output demand.