Special Issue "Future Wind Power Plants: Challenges and Developments"

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

Deadline for manuscript submissions: 13 September 2021.

Special Issue Editors

Dr. Seyed Morteza Alizadeh
E-Mail Website
Guest Editor
Electrical and Industrial Automation Engineering, Engineering Institute of Technology, Melbourne, VIC 3000, Australia
Interests: wind power plants; grid integration; power quality; power converters; energy storage systems; genetic algorithm; particle swarm optimization; hybrid systems; telecommunication; modelling and simulation
Prof. Dr. Akhtar Kalam
E-Mail Website
Guest Editor
College of Engineering and Science, Victoria University, Melbourne 8001, Australia
Interests: power system analysis; communication; control; protection; renewable energy; smart grid; IEC61850 implementation and cogeneration systems
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Special Issue Information

Dear Colleagues,

The increasing penetration of Wind Power Plants (WPPs) in electrical networks has presented various challenges such as the intermittency of wind power and power quality issues. However, the environmental impacts caused by the thermal power plants have resulted in a trend towards higher penetration of WPPs.

Since the 1970s, wind turbines have improved to the point where they generate at least 100 times more power than their predecessors. Considering the increased size of WPPs all over the world, more research is needed and is being carried out into the design, control, and interconnection of WPPs to power systems. Acceleration of wind energy growth requires one to replace the single wind energy technology mindset with a system approach. Hybrid solutions, such as wind energy paired with another energy source or storage technology, will open new opportunities for the wind sector. In addition, wind energy and especially offshore wind is a promising source for generating green hydrogen, which is an emerging technology in reducing carbon emissions.

The cost to produce electricity from wind has plummeted from $500 per MWh to $50. Technical developments, like floating offshore turbines enabling the harvest of wind energy in very deep waters, integrated control strategies considering the needs of the grid, and artificial intelligence permanently assessing the performance of the turbines, have contributed to the impressive cost reductions. Even then, the wind power industry faces continued pressure to reduce costs.

With improvements to other parts of the power grid, such as power storage, wind technology has become crucial for responding to the electricity supply and demand volatility that markets experience.

Hence, the target of this Special Issue is to critically address the challenges and issues concerned with WPPs and provide appropriate solutions to enhance wind power generation. Topics of interest for publication include but are not limited to the following:

  • Grid integration;
  • Power electronics converters;
  • Machine learning algorithms;
  • Wind-energy-based hybrid systems;
  • Green hydrogen energy;
  • Energy storage systems;
  • Information and communication technologies;
  • Economic and social impacts;
  • Energy market bidding strategies;
  • Wind power forecasting;
  • Floating offshore wind power technologies;
  • Wind turbine components recycling.

Dr. Seyed Morteza Alizadeh
Prof. Dr. Akhtar Kalam
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 papers will be 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 2000 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 (1 paper)

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Developing a Decision Tree Algorithm for Wind Power Plants Siting and Sizing in Distribution Networks
Energies 2021, 14(8), 2293; https://doi.org/10.3390/en14082293 - 19 Apr 2021
Cited by 1 | Viewed by 614
The interconnection of wind power plants (WPPs) with distribution networks has posed many challenges concerned with voltage stability at the point of common coupling (PCC). In a distribution network connected WPP, the short-circuit ratio (SCR) and impedance angle ratio seen at PCC (X/R [...] Read more.
The interconnection of wind power plants (WPPs) with distribution networks has posed many challenges concerned with voltage stability at the point of common coupling (PCC). In a distribution network connected WPP, the short-circuit ratio (SCR) and impedance angle ratio seen at PCC (X/RPCC) are the most important parameters, which affect the PCC voltage (VPCC) stability. Hence, design engineers need to conduct the WPP siting and sizing assessment considering the SCR and X/RPCC seen at each potential PCC site to ensure that the voltage stability requirements defined by grid codes are provided. In various literature works, optimal siting and sizing of distributed generation in distribution networks (DG) has been carried out using analytical, numerical, and heuristics approaches. The majority of these methods require performing computational tasks or simulate the whole distribution network, which is complex and time-consuming. In addition, other works proposed to simplify the WPP siting and sizing have limited accuracy. To address the aforementioned issues, in this paper, a decision tree algorithm-based model was developed for WPP siting and sizing in distribution networks. The proposed model eliminates the need to simulate the whole system and provides a higher accuracy compared to the similar previous works. For this purpose, the model accurately predicts key voltage stability criteria at a given interconnection point, including VPCC profile and maximum permissible wind power generation, using the SCR and X/RPCC values seen at that point. The results confirmed the proposed model provides a noticeable high accuracy in predicting the voltage stability criteria under various validation scenarios considered. Full article
(This article belongs to the Special Issue Future Wind Power Plants: Challenges and Developments)
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