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Energies
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Control of Wind and Water Turbines
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Control of Wind and Water 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: closed (22 November 2023) | Viewed by 2346

Special Issue Editor

Prof. Dr. Jeff Pieper

E-Mail Website
Guest Editor
Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, AB, Canada
Interests: control; optimization
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue on Control of Wind and Water Turbines will showcase papers that examine the application of modern optimal, robust, adaptive and nonlinear control to the regulation and tracking of the power generated, turbine rotation rate, stress and other factors important to turbine operation. The industrial and experimental implementations of controllers in operational turbines are particularly invited, but all applications of feedback control to problems associated with electrical power generation in wind and water turbines will be considered.

Prof. Dr. Jeff Pieper
Guest Editor

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 2600 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 turbines
  • water turbines
  • feedback control
  • optimal control
  • robust control

Published Papers (2 papers)

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Research

19 pages, 2568 KiB  
Article
Robust Nonlinear Control of a Wind Turbine with a Permanent Magnet Synchronous Generator
by Cuauhtemoc Acosta Lúa, Domenico Bianchi, Salvador Martín Baragaño, Mario Di Ferdinando and Stefano Di Gennaro
Energies 2023, 16(18), 6649; https://doi.org/10.3390/en16186649 - 15 Sep 2023
Viewed by 718
Abstract
This paper addresses the design of a robust nonlinear dynamic controller for a wind turbine. The turbine is equipped with a permanent magnet synchronous generator. The control problem involves tracking a suitable reference value for the turbine’s angular velocity, which corresponds to the [...] Read more.
This paper addresses the design of a robust nonlinear dynamic controller for a wind turbine. The turbine is equipped with a permanent magnet synchronous generator. The control problem involves tracking a suitable reference value for the turbine’s angular velocity, which corresponds to the wind speed. This issue is tackled by compensating for variations in the electrical and mechanical parameters present in the mathematical model. Additionally, the problem is approached under the assumption that wind speed cannot be directly measured, a fact verified in practical scenarios. This situation is particularly relevant for real-world applications, where only nominal parameter values are accessible and accurate wind speed measurement is challenging due to disturbances caused by the turbine or other factors, despite the use of appropriate sensors. To achieve precise tracking of the angular velocity reference, effective compensation of perturbation terms arising from parameter uncertainties and errors in wind estimation becomes crucial. To address this problem, a wind velocity estimator is employed in conjunction with high-order sliding mode parameter estimators, ensuring the turbine’s operation attains a high level of performance. Full article
(This article belongs to the Special Issue Control of Wind and Water Turbines)
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22 pages, 7462 KiB  
Article
Optimization of Pitch Control Parameters for a Wind Turbine Based on Tower Active Damping Control
by Yingming Liu, Shuyuan Zhang, Xiaodong Wang, Hongfang Xie and Tian Cao
Energies 2022, 15(22), 8686; https://doi.org/10.3390/en15228686 - 18 Nov 2022
Cited by 3 | Viewed by 1299
Abstract
Given the difficulty of accurately setting multiple control parameters in wind turbines, a design method for a pitch controller considering tower load reduction is proposed, which enhances the control performance and reduces both the tower vibration and load. Firstly, the pitch-speed system and [...] Read more.
Given the difficulty of accurately setting multiple control parameters in wind turbines, a design method for a pitch controller considering tower load reduction is proposed, which enhances the control performance and reduces both the tower vibration and load. Firstly, the pitch-speed system and the tower fore-aft active damping control are built. In addition, the explicit equation of the tower fore-aft active damping gain is deduced to calculate its initial value. Secondly, the pitch-speed system is identified as an inertial time-delay system using the least squares method. Subsequently, the pitch PI control parameters are set using the Chien–Hrones–Reswick method. Thirdly, the pitch PI control parameters and the tower fore-aft active damping gains are optimized based on the kindred-protected genetic algorithm, which improves the accuracy of the control parameters. Meanwhile, the Pareto method is used to coordinate the control objectives by allocating the weight. Furthermore, the adaptive control is built by fitting the parameters with the wind speed points using the least squares method to enhance the control performance. Finally, the effectiveness of the proposed design method is verified by comparing the control performance with the tower vibration and load. Full article
(This article belongs to the Special Issue Control of Wind and Water Turbines)
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