Diagnosis of wind turbine misalignment through SCADA data

• Autorzy: Astolfi D. , Castellani F. , Scappaticci L. , Terzi L.
• Języki publikacji: EN

Abstrakty

EN

Optimal alignment of wind turbines to the wind direction is a crucial condition for the quality of power output and for the health of the turbines. Actually, bad alignment can cause degraded performances and dangerous loads that can affect, on the long run, the mechanical safety of the wind turbine. Supervisory Control And Data Acquisition (SCADA) systems are becoming widespread in modern wind energy technology because of the appreciable costs – benefits ratio. The common time scale of SCADA, yet, usually is not effective for misalignment diagnosis because the wind varies too rapidly. For this reason, misalignment is often diagnosed using ad hoc techniques as LIDAR-based or spinner anemometers. In the present work, it is shown that very useful indications for the diagnosis of misalignment can be obtained also from the SCADA data, without invoking expensive supplementary control techniques. The method is validated on the data set of a wind farm sited in Italy.

Słowa kluczowe

EN

wind energy; wind turbine; SCADA system; fault diagnosis

PL

energia wiatru; turbina wiatrowa; SCADA; system kontroli; diagnostyka uszkodzeń

• Wydawca: Polskie Towarzystwo Diagnostyki Technicznej
• Czasopismo: Diagnostyka
• Rocznik: 2017
• Tom: Vol. 18, No. 1
• Strony: 17--24
• Opis fizyczny: Bibliogr. 45 poz., rys., tab., wykr.

Twórcy

autor

Astolfi D.

• University of Perugia - Department of Engineering, Via G. Duranti 93, 06125 Perugia, Italy

autor

Castellani F.

• University of Perugia - Department of Engineering, Via G. Duranti 93, 06125 Perugia, Italy

autor

Scappaticci L.

• Guglielmo Marconi University - Department of Sustainability Engineering, Roma, Italy

autor

Terzi L.

• Renvico srl, Via San Gregorio 34, Milano, Italy

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Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).