Impact of inflow characteristics on the instantaneous power production using detrended fluctuation analysis

Abstract

Abstract This study investigates the influence of inflow characteristics on wind turbine power production using Detrended Fluctuation Analysis (DFA). The research focuses on extracting indicators for the energy of flow fluctuations at small timescales and their scaling properties. This methodology is demonstrated using one year of 1-second SCADA data from an offshore wind farm. These indicators are then compared with the commonly used Turbulence Intensity (TI). The findings demonstrate that DFA coefficients, specifically the DFA y-intercept and the DFA slope, account for a significantly larger portion of the variability in active power. This research enhances SCADA-based performance analysis.