Nonlinear Model Predictive Control for Doubly Fed Induction Generator with Uncertainties
Round 1
Reviewer 1 Report
Comments and Suggestions for AuthorsThe research paper provides a comprehensive investigation into the modeling and control of doubly-fed induction generators (DFIG) integrated into variable-speed wind turbines. The paper is well-structured, presenting a three-part approach that addresses the challenges associated with the instability of open-loop time responses in DFIG systems. The authors successfully introduce a novel mathematical model for the system, implement a conventional Model Predictive Controller (MPC), and propose an innovative strategy combining nonlinear MPC with the Lyapunov function.
The strength of the paper lies in its thorough review of contemporary research to develop an accurate and precise nonlinear model for a variable-speed wind turbine. The integration of the widely-used MPC as the initial stabilizing mechanism is a logical choice, given its industrial applicability and cost-effectiveness. The identification of the limitations of the conventional MPC in stabilizing nonlinear systems and addressing these challenges through the integration of a Kalman filter and a combined control strategy based on the Lyapunov function is a noteworthy contribution.
The simulation results presented using MATLAB software validate the effectiveness of the proposed combined nonlinear MPC strategy. The strategy successfully mitigates the impact of wind input variability and enhances the stability of the DFIG system. The comparison with prior approaches demonstrates a significant advancement in the control of wind turbine systems, marking a positive step towards improving the performance and reliability of variable-speed wind power plants.
However, to further enhance the depth and applicability of the research, the following extensions could be considered:
-> Disuss the Robustness Analysis(no simulation needed): Conduct a robustness analysis of the proposed control strategy under various operating conditions, disturbances, and uncertainties. This would provide insights into the resilience of the system and help identify potential areas for further improvement.
-> Discussion of Real-Time Implementation: Explore the feasibility of implementing the proposed control strategy in real-time systems. Discuss the computational requirements and assess the practicality of deploying the strategy in actual wind turbine setups. Real-world implementation could validate the efficacy of the proposed approach in a practical environment.
Author Response
- Thanks for the positive evaluation. All of your comments are addressed in the manuscript. Please see the attachment.
Author Response File: 
Author Response.pdf
Reviewer 2 Report
Comments and Suggestions for AuthorsThe introduction should be more extensive and refer to more references.
In the paper, the contribution of the authors to the mathematical model presented in section 2 should be highlighted better.
The results of the simulations are analyzed too little.
The paper should contain an in-depth analysis and highlight the contribution to the current state.
The results of the simulations should be compared with those already known, published by other authors.
The paper should be considerably improved before it can be published.
Author Response
- Thank you so much for your professional comments. All your comments were answered, and the revised manuscript addresses all your mentioned improvements/revisions.Please see the attachment.
Author Response File: Author Response.pdf
Reviewer 3 Report
Comments and Suggestions for AuthorsHere my suggestions to improve the manuscript:
- the title is too long.
- the keywords don't seem very captivating and effective for indexing to me.
- the use of matlab must be justified.
- the many equations reported in section 2.1 need to be introduced and explained better.
- it is not clear to me how the assumptions affect the results. This should be better explained.
- this method can improve the environmental sustainability of wind turbines (e.g. by increasing their operational life). But how can it be integrated with the technological evolution of wind turbines. In this regard, consider the integration of the proposed method with "Spreafico, C., Landi, D., & Russo, D. (2023). A new method of patent analysis to support prospective life cycle assessment of eco-design solutions . Sustainable Production and Consumption".
- limitations of the study should be better described in the text and reported in the conclusions.
Author Response
- Thanks for the positive evaluation. All of your comments are addressed in the manuscript. Please see our responses below.Please see the attachment.
Author Response File: Author Response.pdf
Round 2
Reviewer 1 Report
Comments and Suggestions for AuthorsPaper can be accpted now.
Author Response
Thanks for the positive evaluation.
Reviewer 2 Report
Comments and Suggestions for AuthorsThe paper content is improved for the revised version. Some new information has been added to increase the quality and clarity of the paper. I think the paper can be published if a few more changes are made:
In relation 5, I think it is R`;
Relations 14-39 must be written the same as 1-13. Some of the relations 14-39 are difficult to read;
In Figure 12, the PID controller values are higher than those of the graph. The entire PID controller curve is not visible.
Author Response
Thanks for the positive evaluation.Please see the attachment.
Author Response File: Author Response.pdf
