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Special Issue "Recent Advances in Condition Monitoring and Fault-Tolerant Cyber-Resilient Control of Wind Turbines"

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A3: Wind, Wave and Tidal Energy".

Deadline for manuscript submissions: 31 August 2023 | Viewed by 1176

Special Issue Editors

Dr. Hamed Badihi
E-Mail Website
Guest Editor
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing 210016, China
Interests: condition monitoring; fault detection and diagnosis; fault-tolerant control; fault-tolerant cooperative control; renewable energies; hybrid power systems; smart grids
Special Issues, Collections and Topics in MDPI journals
Dr. Ningyun Lu
E-Mail Website
Guest Editor
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Interests: theory and applications of complex system modeling and performance monitoring; fault diagnosis and prediction; equipment health management and product quality optimization
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Mohamed Benbouzid
E-Mail Website
Guest Editor
Institut de Recherche Dupuy de Lôme (UMR CNRS 6027 IRDL), University of Brest, 29238 Brest, France
Interests: tidal and wave power; wind power; microgrids; energy management; fault detection and diagnosis; fault-tolerant control
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Youmin Zhang
E-Mail Website
Guest Editor
Department of Mechanical, Industrial and Aerospace Engineering, Concordia Institute of Aerospace Design and Innovation, Concordia University, 1455 de Maisonneuve Blvd. W., Montreal, QC H3G 1M8, Canada
Interests: guidance, navigation, and control; fault detection and diagnosis; fault-tolerant control; remote sensing with applications to unmanned aerial/space/ground/marine vehicles; smart grids; smart cities; cyber–physical systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to invite you to submit papers to a Special Issue of Energies entitled “Recent Advances in Condition Monitoring and Fault-Tolerant Cyber-Resilient Control of Wind Turbines”. Wind energy assets, including onshore and offshore wind turbines, play an increasingly important role in creating a clean and sustainable global energy future, such assets often being remotely installed and affected by harsh weather conditions, inevitably causing a high frequency of physical faults and failures. In addition, the increased adoption of digital technologies and wireless communications has caused wind farms (groups of wind turbines) to become more vulnerable to cyber-attacks, a new dimension of health concerns associated with their functioning. Therefore, to meet the crucial reliability and cybersecurity requirements of both the cyber and physical components of wind turbines and wind farms, innovative approaches and solutions for physical faults, cyber-attack monitoring, and fault-tolerant and cyber-resilient control are needed, this Special Issue aiming to highlighting the recent trends, research, developments, applications, and challenges of such approaches and solutions. All submissions will be peer-reviewed and selected based both on their novelty and relevance, with both theoretical and application-oriented contributions being welcome, including review articles regarding specific subjects within the scope of this issue. Potential topics of interest include, but are not necessarily limited to, the following:

  • Fault detection and diagnosis of wind turbines;
  • Prognostics and remaining useful life estimation of wind turbines;
  • Digital twin-assisted condition monitoring and health management of wind turbines;
  • Application of advanced data analytics and artificial intelligence in monitoring of wind turbines/farms;
  • Industrial internet of things (IIoT) technologies for remote condition monitoring of wind farms;
  • Decision making in intelligent condition-based maintenance of wind turbines;
  • Cyber-attacks and intrusion detection and prevention for wind turbines/farms;
  • Fault-tolerant and cyber-resilient control of wind turbines/farms;
  • High-fidelity wind turbine/farm simulators, hardware-in-the-loop simulations, and real-time implementation.

Dr. Hamed Badihi
Dr. Ningyun Lu
Prof. Dr. Mohamed Benbouzid
Prof. Dr. Youmin Zhang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • wind turbine
  • condition monitoring
  • health management
  • fault detection and diagnosis
  • fault-tolerant control
  • cyber security and intrusion detection
  • cyber-resilient control

Published Papers (1 paper)

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Review

Review
Applications and Modeling Techniques of Wind Turbine Power Curve for Wind Farms—A Review
Energies 2023, 16(1), 180; https://doi.org/10.3390/en16010180 - 24 Dec 2022
Viewed by 641
Abstract
In the wind energy industry, the power curve represents the relationship between the “wind speed” at the hub height and the corresponding “active power” to be generated. It is the most versatile condition indicator and of vital importance in several key applications, such [...] Read more.
In the wind energy industry, the power curve represents the relationship between the “wind speed” at the hub height and the corresponding “active power” to be generated. It is the most versatile condition indicator and of vital importance in several key applications, such as wind turbine selection, capacity factor estimation, wind energy assessment and forecasting, and condition monitoring, among others. Ensuring an effective implementation of the aforementioned applications mostly requires a modeling technique that best approximates the normal properties of an optimal wind turbines operation in a particular wind farm. This challenge has drawn the attention of wind farm operators and researchers towards the “state of the art” in wind energy technology. This paper provides an exhaustive and updated review on power curve based applications, the most common anomaly and fault types including their root-causes, along with data preprocessing and correction schemes (i.e., filtering, clustering, isolation, and others), and modeling techniques (i.e., parametric and non-parametric) which cover a wide range of algorithms. More than 100 references, for the most part selected from recently published journal articles, were carefully compiled to properly assess the past, present, and future research directions in this active domain. Full article
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Adaptive operation of a wind turbine to reduce mechanical stress over the blades by using a multi-objective self-optimizing control
Authors: Luis I. Minchala
Affiliation: Department of Electronic and Telecommunication Engineering, Universidad de Cuenca, Av. 12 de Abril y Agustín Cueva, Cuenca 0101168, Ecuador
Abstract: This paper presents a methodology of design of a multi-objective self-optimizing control (SOC) for maximizing the relationship between two opposite variables of a wind turbine (WT): generated power and mechanical stress over the blades. The predictive model used in the SOC structure is an integrated aeroelastic model consisting of blade element momentum (BEM) and thin-walled beam (TWB) theory. The BEM/TWB model allows real-time determination of the output power and the normalized mechanical stress of the blades. The SOC processes measurements of the operation of the WT to calculate the set-points to be sent to distributed controllers (DCs) operating in the WT. The proposed approach is compared with a baseline controller, which maximizes power extraction from the WT. Simulation results show significant improvements in the reduction of the mechanical stress while keeping the power extraction near its maximum in the entire range of operation of the WT.

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