Study on Obtaining Real Power Curve of Wind Turbines Using SCADA Data

The key problem to be solved in the process of wind turbine (WT) operation and maintenance is obtain performance accurately. power curve an important indicator evaluate turbines. How model turbines has always been one hot topics research. This paper proposes a novel idea get actual Firstly, basic data preprocessing algorithm designed zero value null original supervisory control acquisition (SCADA) data. moving average filtering (MAF) method employed deal with speed, purpose which consider comprehensive result on certain period. According momentum theory ideal combined characteristics anemometer installation position, deviation between measured speed approximately corrected. Here, influence dynamic changes air density also considered. Then, Gaussian fitting used fit wind-power curve. before after correction are compared analyzed. At same time, parameter uncertainty reliability considered investigated. Finally, curves four research results show that among these curves, WT3 WT4 closest, WT2 next, WT1 farthest from others. work provides valuable basis for on-site evaluation, overhaul,