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Energies
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Feedback Control of Wind and Water Turbines
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Feedback 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 (30 April 2021) | Viewed by 6450

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,

We are currently inviting submissions for a Special Issue of Energies on the subject Feedback Control of Wind and Water Turbines. Turbines are a maturing area of energy harvesting in the field of renewables. Their economic viability depends on their efficient and effective ability to extract energy from natural flows. Feedback control enhances this effectiveness, reduces variability in operation, and increases the efficiency of operation of turbines from very small to extremely large. This Special Issue will present new results in the application of advanced feedback control strategies and methods in application to turbine speed regulation and energy extraction. Papers are solicited in all areas of the application of feedback control to turbine operation, from nonlinear approaches such as backstepping and neural networks to linear and quasi-linear techniques such as parameter varying and the use of optimal control.

Topics of interest for publication include, but are not limited to:

  • Wind turbine control
  • Water turbine control
  • Applications of optimal and robust control to turbine systems
  • Wind and water speed estimation
  • Individual Blade control
  • Generator and electronic systems control
  • Blade vibration control methods
  • Use of neural networks, machine learning and AI for modeling and control of turbines
  • Adaptive methods in turbine control
  • Linear parameter varying methods, gain scheduling and switching methods in turbine control
  • Dynamic system modeling approaches to turbines

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.

Published Papers (2 papers)

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Research

16 pages, 3743 KiB  
Article
A Pitch Angle Controller Based on Novel Fuzzy-PI Control for Wind Turbine Load Reduction
by Bofeng Xu, Yue Yuan, Haoming Liu, Peng Jiang, Ziqi Gao, Xiang Shen and Xin Cai
Energies 2020, 13(22), 6086; https://doi.org/10.3390/en13226086 - 20 Nov 2020
Cited by 15 | Viewed by 1969
Abstract
A novel fuzzy rule is proposed to adopt a positive pitch strategy when the error between the measured and rated generator speed becomes large and continues to increase, and to adopt a negative pitch strategy when the error is small. The improved approach [...] Read more.
A novel fuzzy rule is proposed to adopt a positive pitch strategy when the error between the measured and rated generator speed becomes large and continues to increase, and to adopt a negative pitch strategy when the error is small. The improved approach is introduced into the normal Fuzzy-Proportional-Integral (Fuzzy-PI) control strategy by dividing the fuzzy rules into four areas and analyzing the design method for each area. Furthermore, a low pass filter is used to reduce the ultimate loads of the pitch driver caused by the novel fuzzy rules. The modeling of the wind turbine load under turbulent wind conditions is conducted in GH Bladed, and MATLAB/Simulink is used to interact with the modeling to verify the novel Fuzzy-PI control. The results show that, compared with normal Fuzzy-PI control, the novel Fuzzy-PI control can greatly reduce the ultimate loads and fatigue loads of the pitch driver. The novel Fuzzy-PI control not only reduces the extremum of power deviation, but also decreases some ultimate loads and fatigue loads of the tower base and the blade root. It can reduce these loads by up to 21.53% under the normal turbulent wind condition and by up to 18.14% under the extreme turbulent wind condition. Full article
(This article belongs to the Special Issue Feedback Control of Wind and Water Turbines)
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20 pages, 16267 KiB  
Article
A Super Twisting Fractional Order Terminal Sliding Mode Control for DFIG-Based Wind Energy Conversion System
by Irfan Sami, Shafaat Ullah, Zahoor Ali, Nasim Ullah and Jong-Suk Ro
Energies 2020, 13(9), 2158; https://doi.org/10.3390/en13092158 - 1 May 2020
Cited by 58 | Viewed by 3996
Abstract
The doubly fed induction generator (DFIG)-based wind energy conversion systems (WECSs) are prone to certain uncertainties, nonlinearities, and external disturbances. The maximum power transfer from WECS to the utility grid system requires a high-performance control system in the presence of such nonlinearities and [...] Read more.
The doubly fed induction generator (DFIG)-based wind energy conversion systems (WECSs) are prone to certain uncertainties, nonlinearities, and external disturbances. The maximum power transfer from WECS to the utility grid system requires a high-performance control system in the presence of such nonlinearities and disturbances. This paper presents a nonlinear robust chattering free super twisting fractional order terminal sliding mode control (ST-FOTSMC) strategy for both the grid side and rotor side converters of 2 MW DFIG-WECS. The Lyapunov stability theory was used to ensure the stability of the proposed closed-loop control system. The performance of the proposed control paradigm is validated using extensive numerical simulations carried out in MATLAB/Simulink environment. A detailed comparative analysis of the proposed strategy is presented with the benchmark sliding mode control (SMC) and fractional order terminal sliding mode control (FOTSMC) strategies. The proposed control scheme was found to exhibit superior performance to both the stated strategies under normal mode of operation as well as under lumped parametric uncertainties. Full article
(This article belongs to the Special Issue Feedback Control of Wind and Water Turbines)
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