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Sustainability
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Dynamic Operation and Control of Wind Power Systems
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Dynamic Operation and Control of Wind Power Systems

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 7187

Special Issue Editors

Dr. Chih-Ming Hong

E-Mail Website
Guest Editor
Department of Electronic Communication Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 811213, Taiwan
Interests: ocean wave energy; motor drive systems; DSP; power electronics; control theory applications; renewable energy systems; microgrid
Special Issues, Collections and Topics in MDPI journals
Dr. Kai-Hung Lu

E-Mail Website
Guest Editor
School of Electronic and Electrical Engineering, Minnan University of Science and Technology, Quanzhou 362700, China
Interests: battery management systems; distributed power generation; load flow; power generation dispatch; power generation economics; power system security; solar
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are inviting submissions to the Sustainability Special Issue “Dynamic Operation and Control of Wind Power Systems”.

Since renewable energy sources, and particularly wind energy, have stochastic behaviour, the power output is not guaranteed. This is the main factor that imposes restrictions on the expansion because, in general, distributed energy sources do not contribute to the control and regulation of the system in the same way as conventional units. Another important point, which differentiates the turbines compared with conventional synchronous generators used in electric systems, is associated with the technology of converting mechanical energy into electrical energy. The wind turbines are, in large part, equipped with asynchronous generators and, therefore, have substantial differences in the dynamic response over conventional units.

This research focuses on developing dynamic models and control strategies for the wind farms, with the aim to optimise the operation of wind farms considering participation in power system control of power (frequency) and reactive power (voltage), maximise power production, keep good power quality and limit mechanical loads and lifetime consumption. Traditionally, the main aim of wind turbine control is to ensure that the wind turbine is able to produce energy at the lowest possible cost. New control technology aims to improve the integration of wind turbines in the power system, in order to secure quality, stability and reliability, and to reduce the required grid connection costs.

This Special Issue in Sustainability aims to address the challenges in the control design and implementation of wind power systems used to convert wind energy in electrical power. Original submissions focusing on new control techniques and the practical implementation of these new control schemes, which are useful for improving our knowledge of wind energy systems, on the basis of one or more of the following topics, are welcome in this Special Issue. The Issue will include, but is not be limited to, the following topics:

  • Fault Ride-Through control
  • Prediction of wind fluctuations
  • Wind turbine and wind farm control
  • Novel operational strategies for wind farms
  • Transient and Dynamic Control
  • Evaluation of the impact of wind turbine control on the microgrid system oscillations
  • Multi-energy system

Dr. Chih-Ming Hong
Dr. Kai-Hung Lu
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. Sustainability 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 2400 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 farm control
  • grid integrationl
  • intelligent control technology
  • fault ride-through
  • wind energy
  • microgrid

Published Papers (3 papers)

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Research

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27 pages, 4349 KiB  
Article
Visualizing the Maximum Energy Zone of Wind Turbines Operating at Time-Varying Wind Speeds
by Cristian Paul Chioncel, Elisabeta Spunei and Gelu-Ovidiu Tirian
Sustainability 2024, 16(7), 2659; https://doi.org/10.3390/su16072659 - 24 Mar 2024
Viewed by 500
Abstract
Wind turbines are one of the leading renewable sources of electricity. They are located in areas where the energy potential of the wind is high and more or less permanent. Their efficient operation depends on certain technical characteristics of the entire wind system [...] Read more.
Wind turbines are one of the leading renewable sources of electricity. They are located in areas where the energy potential of the wind is high and more or less permanent. Their efficient operation depends on certain technical characteristics of the entire wind system (wind turbines, generator, automation system, regulation, and control). This paper analyses experimental data from wind turbines, WT, in the Dobrogea area: wind speed, v, velocity, n, and power, PEG, at the electric generator, EG. These are used to identify the local maxima of wind turbine power at different wind speeds. Based on this, a mathematical model for wind turbines and the power losses caused by inefficient control are determined. The mathematical model is used to visualize the maximum energy zones. At the end of this study, an algorithm is given that allows for the visualization of the optimal energy zone. The algorithm resulting from the analyzed case studies can be implemented by the control system in order to maximize the produced electricity with any variation in wind speed. Full article
(This article belongs to the Special Issue Dynamic Operation and Control of Wind Power Systems)
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18 pages, 983 KiB  
Article
Comprehensive Analysis of Kinetic Energy Recovery Systems for Efficient Energy Harnessing from Unnaturally Generated Wind Sources
by Shaikh Zishan, Altaf Hossain Molla, Haroon Rashid, Kok Hoe Wong, Ahmad Fazlizan, Molla Shahadat Hossain Lipu, Mohd Tariq, Omar Mutab Alsalami and Mahidur R. Sarker
Sustainability 2023, 15(21), 15345; https://doi.org/10.3390/su152115345 - 27 Oct 2023
Viewed by 1377
Abstract
Alternative energy is a rapidly expanding research area primarily driven by concerns over pollution caused by inefficient conventional energy sources. However, many developing nations rely heavily on these conventional sources. In response, numerous researchers have focused on developing kinetic energy recovery systems (KERS) [...] Read more.
Alternative energy is a rapidly expanding research area primarily driven by concerns over pollution caused by inefficient conventional energy sources. However, many developing nations rely heavily on these conventional sources. In response, numerous researchers have focused on developing kinetic energy recovery systems (KERS) to capture and utilize the energy lost due to inefficiency. These KERS can be implemented in various scenarios, such as near railroad tracks, industrial flue stacks, cooling towers, and air conditioning outlets. The primary objective of this paper is to critically and comprehensively evaluate the research conducted on the development of these systems. The review reveals that the wind speed in the studied cases ranged between 15 and 22 m/s, providing a consistent and theoretically maximum potential higher than any location worldwide. Furthermore, the impact of these systems on the Betz limit, as well as their drawbacks and crucial advancements necessary for practical implementation, have been thoroughly assessed. This paper contributes to the existing body of knowledge by presenting a comprehensive analysis of the research conducted on KERS development. It highlights the potential of these systems in harnessing untapped energy sources and identifies key areas that require further attention for successful practical application. Full article
(This article belongs to the Special Issue Dynamic Operation and Control of Wind Power Systems)
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Review

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40 pages, 2371 KiB  
Review
A Review of Modern Wind Power Generation Forecasting Technologies
by Wen-Chang Tsai, Chih-Ming Hong, Chia-Sheng Tu, Whei-Min Lin and Chiung-Hsing Chen
Sustainability 2023, 15(14), 10757; https://doi.org/10.3390/su151410757 - 08 Jul 2023
Cited by 5 | Viewed by 4740
Abstract
The prediction of wind power output is part of the basic work of power grid dispatching and energy distribution. At present, the output power prediction is mainly obtained by fitting and regressing the historical data. The medium- and long-term power prediction results exhibit [...] Read more.
The prediction of wind power output is part of the basic work of power grid dispatching and energy distribution. At present, the output power prediction is mainly obtained by fitting and regressing the historical data. The medium- and long-term power prediction results exhibit large deviations due to the uncertainty of wind power generation. In order to meet the demand for accessing large-scale wind power into the electricity grid and to further improve the accuracy of short-term wind power prediction, it is necessary to develop models for accurate and precise short-term wind power prediction based on advanced algorithms for studying the output power of a wind power generation system. This paper summarizes the contribution of the current advanced wind power forecasting technology and delineates the key advantages and disadvantages of various wind power forecasting models. These models have different forecasting capabilities, update the weights of each model in real time, improve the comprehensive forecasting capability of the model, and have good application prospects in wind power generation forecasting. Furthermore, the case studies and examples in the literature for accurately predicting ultra-short-term and short-term wind power generation with uncertainty and randomness are reviewed and analyzed. Finally, we present prospects for future studies that can serve as useful directions for other researchers planning to conduct similar experiments and investigations. Full article
(This article belongs to the Special Issue Dynamic Operation and Control of Wind Power Systems)
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