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Electronics
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Wind Turbine Power Systems
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Wind Turbine Power Systems

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Industrial Electronics".

Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 8432

Special Issue Editor

Dr. Davide Astolfi

E-Mail Website
Guest Editor
Department of Engineering, University of Perugia, 06125 Perugia, Italy
Interests: wind turbines; condition monitoring; fault diagnosis; non-stationary machinery; control and monitoring; vibrations; applied statistics; numerical modelling; mechanical systems dynamics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Wind turbines are expected to become, in the next few years, the leading technology for electricity production from a renewable energy source, likely as a result of multifaceted improvements in the efficiency of wind kinetic energy conversion. Correspondingly, the scientific literature about wind turbine technology is flourishing at present.

On the grounds of this premise, the present Special Issue calls for contributions on innovations in aspects related to wind turbine technology.

The privileged topic is power electronics in wind turbine applications but, since there are several possible directions for optimizing wind turbine power, the scope of the Special Issue is wide. Suitable topics include but are not limited to:

  • Power electronics in wind turbine applications;
  • Wind turbine electrical circuits and devices;
  • Wind turbine power control and monitoring;
  • Wind turbine control innovation, design and testing;
  • Wind farm control;
  • Early fault diagnosis and condition monitoring;
  • Soft computing and information processing applications in wind power technology;
  • Innovations in sensory systems and measurement technology for wind energy;
  • Wind turbine components aging, operation and maintenance, end of life issues;
  • Signal processing applications;
  • Micro wind turbine technology and smart mini grids.

Dr. Davide Astolfi
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. Electronics 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

  • energy systems
  • power electronics
  • electrical engineering
  • wind turbines
  • control and monitoring
  • control systems engineering

Published Papers (2 papers)

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Research

18 pages, 8929 KiB  
Article
Wind Turbine Operation Curves Modelling Techniques
by Davide Astolfi
Electronics 2021, 10(3), 269; https://doi.org/10.3390/electronics10030269 - 23 Jan 2021
Cited by 19 | Viewed by 3037
Abstract
Wind turbines are machines operating in non-stationary conditions and the power of a wind turbine depends non-trivially on environmental conditions and working parameters. For these reasons, wind turbine power monitoring is a complex task which is typically addressed through data-driven methods for constructing [...] Read more.
Wind turbines are machines operating in non-stationary conditions and the power of a wind turbine depends non-trivially on environmental conditions and working parameters. For these reasons, wind turbine power monitoring is a complex task which is typically addressed through data-driven methods for constructing a normal behavior model. On these grounds, this study is devoted the analysis of meaningful operation curves, which are rotor speed-power, generator speed-power and blade pitch-power. A key point is that these curves are analyzed in the appropriate operation region of the wind turbines: the rotor and generator curves are considered for moderate wind speed, when the blade pitch is fixed and the rotational speed varies (Region 2); the blade pitch curve is considered for higher wind speed, when the rotational speed is rated (Region 2 12). The selected curves are studied through a multivariate Support Vector Regression with Gaussian Kernel on the Supervisory Control And Data Acquisition (SCADA) data of two wind farms sited in Italy, featuring in total 15 2 MW wind turbines. An innovative aspect of the selected models is that minimum, maximum and standard deviation of the independent variables of interest are fed as input to the models, in addition to the typically employed average values: using the additional covariates proposed in this work, the error metrics decrease of order of one third, with respect to what would be obtained by employing as regressors only the average values of the independent variables. In general it results that, for all the considered curves, the prediction of the power is characterized by error metrics which are competitive with the state of the art in the literature for multivariate wind turbine power curve analysis: in particular, for one test case, a mean absolute percentage error of order of 2.5% is achieved. Furthermore, the approach presented in this study provides a superior capability of interpreting wind turbine performance in terms of the behavior of the main sub-components and eliminates as much as possible the dependence on nacelle anemometer data, whose use is critical because of issues related to the sites complexity. Full article
(This article belongs to the Special Issue Wind Turbine Power Systems)
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14 pages, 710 KiB  
Article
Wind Energy Harnessing in a Railway Infrastructure: Converter Topology and Control Proposal
by Oier Oñederra, Francisco Javier Asensio, Gaizka Saldaña, José Ignacio San Martín and Inmaculada Zamora
Electronics 2020, 9(11), 1943; https://doi.org/10.3390/electronics9111943 - 18 Nov 2020
Cited by 8 | Viewed by 4355
Abstract
Long distances in the vicinities of railways are not exploited in terms of wind energy. This paper presents a scalable power electronics approach, aimed to harness the wind potential in a railway infrastructure. The key aspect of this proposal relies on both using [...] Read more.
Long distances in the vicinities of railways are not exploited in terms of wind energy. This paper presents a scalable power electronics approach, aimed to harness the wind potential in a railway infrastructure. The key aspect of this proposal relies on both using the wind energy in the location, and the displaced air mass during the movement of a train along the railway, in order to produce electrical energy. Vertical Axis Wind Turbines (VAWT) are used in order to take advantage of the wind power, and widely used and well-known power converter techniques to accomplish the goal, showing MPPT techniques, parallelization of converters and power delivery with a Solid State Transformer (SST). Results are shown according simulations of the whole system, with and without train activity, resulting that 30.6 MWh of the energy could be generated without the train, and the energy generated with the assistance of the train could reach 32.3 MWh a year. Concluding that almost the 10% of the energy could be provided by the assistance of the train. Full article
(This article belongs to the Special Issue Wind Turbine Power Systems)
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