Power performance of wind energy converters characterized as stochastic process: applications of the Langevin power curve

Autor: Patrick Milan, Tanja Mücke, Joachim Peinke, Matthias Wächter
Rok vydání: 2011
Předmět:
Zdroj: Wind Energy. 14:711-717
ISSN: 1095-4244
DOI: 10.1002/we.453
Popis: The power performance of a wind energy converter (WEC) commonly refers to the relation between the input source and the electrical output, i.e. the input wind speed u and the electrical power output P . The International Electrotechnical Commission dened a so-called power curve P (u) that quanties this relation. Recently a novel approach was introduced based on the short-time dynamical response of the WEC to high-frequency wind uctuations. The dynamical behavior of the WEC is quantied by a drift eld and the corresponding Langevin power curve. We present three applications to wind energy based on the Langevin power curve. The rst application consists in testing the power performance of WECs using LIDAR wind measurements. We then extend this test to the monitoring of WEC performance over time. Finally, we apply the Langevin power curve to a simulation model for a WEC as a tool to characterize its performance. These applications illustrate the exibility of the Langevin power curve as a relevant tool for performance testing and monitoring.
Databáze: OpenAIRE