A Comprehensive Methodology Based on SCADA Data Analysis for Diagnosing Static Errors Affecting Wind Turbine Performance |
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| Davide Astolfi, Silvia Iuliano, Antony Vasile, Alessandro Canali, Marco Pasetti, Francesco Castellani, Alfredo Vaccaro |
- Abstract:
- One of the most important root causes of non-optimal efficiency in the conversion of wind kinetic energy into electricity is represented by static errors affecting wind turbines. These can simply involve sensors (like the anemometers) or might deal with the set up of the rotor (as when the three blades do not have the same pitch reference). Based on such premise, in this work, a comprehensive framework is proposed for diagnosing static errors affecting wind turbine performance, based on SCADA data analysis. The three types of considered static errors are: static yaw error; absolute or relative blade pitch misalignment; anemometer bias. It is desirable to exploit as much as possible the SCADA-collected data for diagnosing such types of static errors. Yet, given the mediation of the control system, the SCADA data might even be misleading and, for example, might indicate a correct alignment of the rotor to the wind flow, while it is not correct. Hence, the objective of the work is identifying phenomena observable through SCADA data which can be related to such static errors. Acknowledged that some manifestations can be similar for the various errors, a work flow is set up for distinguishing between them. The selected phenomena are: under-performance, which is associated to all the errors; increased vibrations; shift in the nacelle anemometer measurements. Real-world test cases, namely wind farms operated by the ENGIE Italia company, are discussed. A combination of single wind turbine and fleet-wide methods is proposed. The latter involve dividing the fleet in potentially anomalous and normal wind turbines and modeling quantities of interest (like the power) as a function of the corresponding quantities of the healthy wind turbines. The collected case studies indicate that the proposed method is effective and allows distinguishing between the various types of errors related to the anemometer, the yaw and the pitch systems.
- Download:
- IMEKO-TC6-2025-046.pdf
- DOI:
- 10.21014/tc6-2025.046
- Event details
- IMEKO TC:
- TC6
- Event name:
- TC6 M4Dconf2025
- Title:
2025 IMEKO TC-6 International Conference on Metrology and Digital Transformation
- Place:
- Benevento, ITALY
- Time:
- 03 September 2025 - 05 September 2025