MBCT-SR Coupled Cloud Model for Wind-photovoltaic-hydro Hybrid Power Generation System

In the high proportion of wind-photovoltaic (PV-hydro hybrid power system, the fluctuation and the dispersion make it difficult to accurately quantify the output characteristics. Therefore, this paper constructs a cloud model for a hybrid power generation system based on the output data. The multiple backward cloud transformation based on sampling with replacement (MRCT-SR) method is proposed to calculate the improved entropy and hyper entropy to analyze the fluctuation range and the dispersion degree quantitatively. The similarity index is proposed to evaluate the correlation between the wind power, PV power and hydro power. The effectiveness and applicability of this method is proofed by using a typical example in Qinghai.