Improving the operation and maintenance of wind farms: determination of wind turbine performance

Authors

  • A. Llombart-Estopiñan Fundacion CIRCE; Department of Electrical Engineering, Zaragoza University Author

DOI:

https://doi.org/10.24084/repqj06.002

Keywords:

Wind energy, power curve, power performance, data filtering, robust filtering

Abstract

To improve the economic and technical wind farm operation is necessary an accurate determination of wind turbine performance. To do so it is necessary to estimate the unavailability and the efficiency of each wind turbine.

The first step consists in filtering the data set of the period to be studied. Two data sets are obtained, a first set where all data corresponds to time periods in which the wind turbines have worked properly, and the rest of data correspond to periods in which the WT have had some problems, and have to stop during part of the time.

The second set is useful to get the unavailability measured both in time and power, and the first one to get the efficiency.

In both cases a model to get the relationship between power and wind speed is needed. The CIRCE’s AIRE (Renewable Energy Integral Analysis) group is working in automatic methods for filtering wrong data and characterizing the wind turbine behaviour with the objective of improving the operation and maintenance of wind farms.

Published

2024-01-15

Issue

Section

Articles