A Fluctuation Quantitative Evaluation Method for Distributed Energy Power Time Series

Future smart grid will incorporate an increasing number of Distributed Energy Resources ( DERs), which have the potential to enhance the system energy efficiency, economics, resilience, and sustainability. However, The DERs, dominated by wind power and photovoltaic power generation, would lead to many problems for a power system with large-scale DERs integrated due to their inherent fluctuation characteristic. Therefore, quantitatively evaluating the fluctuation level of the DERs' power is of great importance for modern power system. To this end, by defining time window, using envelope and Lebesgue integration theory, the fluctuation quantitative index of DERs' power-fluctuation rate-is defined by extracting the fluctuations of high frequency information and trends of the DER's output power time series. The validity of the fluctuation rate for measuring the fluctuation of DERs' power is validated by testing the fluctuation, smoothing effects of wind power and conducting comparative analysis with prediction error and existing fluctuation index.