the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
| 14 Mar 2022
A theoretical framework for the study of power capture enhancement for wind turbines operating at low wind speeds
Abstract. At below rated operation, wind turbines must track changes in the wind speed to ensure optimal power production. Traditionally, a nonlinear feedback of the generator speed is used for that purpose. In this paper, a linear frequency domain approach to the problem is proposed, that studies the efficiency of the baseline control and the possible benefits of additional strategies. Then, a frequency domain nonlinear relation between wind and energy, that validates the results obtained for the linear model. Lastly, the benefits and costs of an optimal LIDAR based torque signal are discussed
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Interactive discussion
Status: closed
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RC1: 'Comment on wes-2022-18', Anonymous Referee #1, 25 Mar 2022
This paper proposes a linear frequency domain approach to study the baseline control and the possible benefits of additional control strategies.
The analysis performed in this paper is very basic and I also question the correctness of the results and plots shown (e.g., Figure 3). It is not clear to me what the main contribution of the paper is, as the reasonings and storyline of the paper are hard to follow. Many works in the past have considered the ISC control method, with an analysis of augmented feedforward (LIDAR) control strategies. The reasoning, justification, and presentation of results in this paper are below the standards for a journal publication. Therefore, I do not recommend considering the manuscript for publication in WES.
Citation: https://doi.org/10.5194/wes-2022-18-RC1 -
RC2: 'Comment on wes-2022-18', Anonymous Referee #2, 10 Apr 2022
In this paper, the authors are focusing on the development of a baseline indirect speed control (ISC) for below-rated wind turbine operation by means of a linear frequency domain approach. In addition, wind preview by LIDAR is considered in the framework.
My first impression about this paper is that it is not well motivated. Particularly, it is hard to see whether the challenges surrounding the implementation of ISC have already been really addressed before as the literature survey is rather lacking. There are a lot of wind turbine control algorithms in the literature covering wind preview by LIDAR, but the potential of the proposed method (ISC+LIDAR) over other works is unclear. It is therefore hard to see any novelties in the proposed work.
Moreover, derivations and analyses are not rigorous for a journal paper standard. The manuscript's presentation is also somewhat poor. It is hard to understand the figures as the captions are rather simplistic while inadequate explanations are given in the text.
Therefore, this paper is not a candidate for a journal publication.
Citation: https://doi.org/10.5194/wes-2022-18-RC2 -
RC3: 'Comment on wes-2022-18', Anonymous Referee #3, 22 Apr 2022
The paper deals with the question whether it is possible to increase the power conversion efficiency at low wind speed region and through the use of lidar feed-forward control. The paper is well written, logically structured and presented.
The main drawback of the manuscript is that it presents the same conclusion as already known before from previous publications, using a slightly different method. The fact that it is difficult to improve the power capture at low wind speed because of the flatness of the Cp-Lambda (TSR) curve has been presented before. Using lidar assisted control, one may slightly improve the TSR tracking but the downside is the generator torque fluctuation and pitch activity increase, this has been also presented before in the literature mentioned in the manuscript.
The paper in the current form may not be suffcient for the publication in WES due to lack of scientific novelty, but the authors may consider to submit this as short communication.
Citation: https://doi.org/10.5194/wes-2022-18-RC3 -
AC1: 'Comment on wes-2022-18', Irene Miquelez-Madariaga, 24 May 2022
Dear revisors,
thank you very much for your input, we will take it into account in the future. Although we see why our paper has not been found suitable for publications, we would like to clarify that for us the most relevant result was not exactly about the amount of available energy (which had already been proven to be small). We intended to approach a nonlinear problem in a linear way that facilitates the design of feedfoward controllers.
Best regards,
the authors.
Citation: https://doi.org/10.5194/wes-2022-18-AC1
Interactive discussion
Status: closed
-
RC1: 'Comment on wes-2022-18', Anonymous Referee #1, 25 Mar 2022
This paper proposes a linear frequency domain approach to study the baseline control and the possible benefits of additional control strategies.
The analysis performed in this paper is very basic and I also question the correctness of the results and plots shown (e.g., Figure 3). It is not clear to me what the main contribution of the paper is, as the reasonings and storyline of the paper are hard to follow. Many works in the past have considered the ISC control method, with an analysis of augmented feedforward (LIDAR) control strategies. The reasoning, justification, and presentation of results in this paper are below the standards for a journal publication. Therefore, I do not recommend considering the manuscript for publication in WES.
Citation: https://doi.org/10.5194/wes-2022-18-RC1 -
RC2: 'Comment on wes-2022-18', Anonymous Referee #2, 10 Apr 2022
In this paper, the authors are focusing on the development of a baseline indirect speed control (ISC) for below-rated wind turbine operation by means of a linear frequency domain approach. In addition, wind preview by LIDAR is considered in the framework.
My first impression about this paper is that it is not well motivated. Particularly, it is hard to see whether the challenges surrounding the implementation of ISC have already been really addressed before as the literature survey is rather lacking. There are a lot of wind turbine control algorithms in the literature covering wind preview by LIDAR, but the potential of the proposed method (ISC+LIDAR) over other works is unclear. It is therefore hard to see any novelties in the proposed work.
Moreover, derivations and analyses are not rigorous for a journal paper standard. The manuscript's presentation is also somewhat poor. It is hard to understand the figures as the captions are rather simplistic while inadequate explanations are given in the text.
Therefore, this paper is not a candidate for a journal publication.
Citation: https://doi.org/10.5194/wes-2022-18-RC2 -
RC3: 'Comment on wes-2022-18', Anonymous Referee #3, 22 Apr 2022
The paper deals with the question whether it is possible to increase the power conversion efficiency at low wind speed region and through the use of lidar feed-forward control. The paper is well written, logically structured and presented.
The main drawback of the manuscript is that it presents the same conclusion as already known before from previous publications, using a slightly different method. The fact that it is difficult to improve the power capture at low wind speed because of the flatness of the Cp-Lambda (TSR) curve has been presented before. Using lidar assisted control, one may slightly improve the TSR tracking but the downside is the generator torque fluctuation and pitch activity increase, this has been also presented before in the literature mentioned in the manuscript.
The paper in the current form may not be suffcient for the publication in WES due to lack of scientific novelty, but the authors may consider to submit this as short communication.
Citation: https://doi.org/10.5194/wes-2022-18-RC3 -
AC1: 'Comment on wes-2022-18', Irene Miquelez-Madariaga, 24 May 2022
Dear revisors,
thank you very much for your input, we will take it into account in the future. Although we see why our paper has not been found suitable for publications, we would like to clarify that for us the most relevant result was not exactly about the amount of available energy (which had already been proven to be small). We intended to approach a nonlinear problem in a linear way that facilitates the design of feedfoward controllers.
Best regards,
the authors.
Citation: https://doi.org/10.5194/wes-2022-18-AC1
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