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Open AccessJournal ArticleDOI

Discussion of Wind Turbine Performance Based on SCADA Data and Multiple Test Case Analysis

Davide Astolfi, +3 more
- 22 Jul 2022 - 
- Vol. 15, Iss: 15, pp 5343-5343
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TLDR
In this article , the authors used a polynomial regression model to analyze the rotational speed and blade pitch curves of a wind turbine with hydraulic pitch control and electric pitch control.
Abstract
This work is devoted to the formulation of innovative SCADA-based methods for wind turbine performance analysis and interpretation. The work is organized as an academia–industry collaboration: three test cases are analyzed, two with hydraulic pitch control (Vestas V90 and V100) and one with electric pitch control (Senvion MM92). The investigation is based on the method of bins, on a polynomial regression applied to operation curves that have never been analyzed in detail in the literature before, and on correlation and causality analysis. A key point is the analysis of measurement channels related to the blade pitch control and to the rotor: pitch manifold pressure, pitch piston traveled distance and tower vibrations for the hydraulic pitch wind turbines, and blade pitch current for the electric pitch wind turbines. The main result of this study is that cases of noticeable under-performance are observed for the hydraulic pitch wind turbines, which are associated with pitch pressure decrease in time for one case and to suspected rotor unbalance for another case. On the other way round, the behavior of the rotational speed and blade pitch curves is homogeneous and stable for the wind turbines electrically controlled. Summarizing, the evidence collected in this work identifies the hydraulic pitch as a sensible component of the wind turbine that should be monitored cautiously because it is likely associated with performance decline with age.

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Peer ReviewDOI

SCADA data for wind turbine data-driven condition/performance monitoring: A review on state-of-art, challenges and future trends

TL;DR: The recent advancement made in data-driven technologies based on SCADA data for improving wind turbines’ operation and maintenance activities (e.g. condition monitoring, decision support, critical components failure detections) and the challenges associated with them are reviewed.
Journal ArticleDOI

SCADA data for wind turbine data-driven condition/performance monitoring: A review on state-of-art, challenges and future trends

TL;DR: In this article , the recent advancement made in data-driven technologies based on SCADA data for improving wind turbines' operation and maintenance activities (e.g. condition monitoring, decision support, critical components failure detections) and the challenges associated with them are reviewed.
Journal ArticleDOI

Discussion on the Suitability of SCADA-Based Condition Monitoring for Wind Turbine Fault Diagnosis through Temperature Data Analysis

TL;DR: In this paper , the suitability of SCADA-based condition monitoring for fault diagnosis in a fleet of eight wind turbines monitored for over 11 years was evaluated using a weakly supervised method.
Journal ArticleDOI

Modified Approach of Manufacturer’s Power Curve Based on Improved Bins and K-Means++ Clustering

TL;DR: In this paper , a modified approach of the wind turbine power curve is proposed based on improved bins and K-means++ clustering, which can reflect the output characteristics of wind turbine operating more effectively in a complex environment.
Journal ArticleDOI

Data-Driven wind turbine performance assessment and quantification using SCADA data and field measurements

TL;DR: In this paper , the authors provide a concise overview of the existing schools of thought in terms of wind turbine performance assessment and highlight a few important technical considerations for future research pursuit and highlight the need to carry out accurate, trust-worthy performance assessment.
References
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Journal ArticleDOI

Investigating Causal Relations by Econometric Models and Cross-Spectral Methods

TL;DR: In this article, the cross spectrum between two variables can be decomposed into two parts, each relating to a single causal arm of a feedback situation, and measures of causal lag and causal strength can then be constructed.
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How does wind farm performance decline with age

TL;DR: In this paper, the authors reveal the rate of ageing of a national fleet of wind turbines using free public data for the actual and theoretical ideal load factors from the UK's 282 wind farms.
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Wind Turbine Power Curve Modeling Using Advanced Parametric and Nonparametric Methods

TL;DR: A penalizedspline regression model is developed to address the issues of choosing the number and location of knots in the spline regression in the polynomial regression.
Journal ArticleDOI

Ageing assessment of a wind turbine over time by interpreting wind farm SCADA data

TL;DR: In this paper, four SCADA-based assessment criteria are proposed for measuring the ageing resultant performance degradation of the turbine, with the aid of these four criteria, a reliable information fusion based wind turbine ageing assessment method is developed and verified in the end using the real wind farm SCADA data.
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