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Electronics
Special Issues
Wind and Renewable Energy Generation and Integration
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Wind and Renewable Energy Generation and Integration

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

Deadline for manuscript submissions: 15 November 2025 | Viewed by 465

Special Issue Editors

Prof. Dr. Yihan Xing

E-Mail Website
Guest Editor
Department of Mechanical and Structural Engineering and Material Sciences, University of Stavanger, N-4036 Stavanger, Norway
Interests: floating wind turbines; offshore floating structures; marine structures; offshore renewable energy; offshore mechanics; subsea technology
Special Issues, Collections and Topics in MDPI journals
Dr. Chao Ren

E-Mail Website
Guest Editor
Department of Mechanical and Structural Engineering and Materials Science, University of Stavanger, 4021 Stavanger, Norway
Interests: renewable energy; risk and reliability
Dr. Jian Tan

E-Mail Website
Guest Editor
Department of Hydraulic Engineering, Delft University of Technology, 2628 CN Delft, The Netherlands
Interests: power take-off systems of marine renewables; numerical modeling of wave energy converters

Special Issue Information

Dear Colleagues,

The growing demand for clean energy has accelerated the development of renewable energy technologies, such as offshore/onshore wind turbines, tidal turbines, wave energy converters, and other renewable energy applications. However, the efficient conversion of energy from these dynamic and variable renewable resources into usable electrical power remains a significant challenge. Advanced power converter systems are at the heart of these efforts, enabling enhanced energy capture, efficient power conditioning, grid integration, and operational reliability.

This Special Issue aims to showcase cutting-edge research, innovative designs, and the practical applications of power converters tailored for wind and other renewable energy systems. Contributions will explore topics such as high-efficiency converter topologies, robust control strategies, energy storage integration, grid compatibility, and fault tolerance. Special emphasis will be placed on solutions that address the unique challenges posed by renewable energy sources, including corrosive conditions, variable resource profiles, and remote operational settings.

Key topics of interest may include, but are not limited to:

  • Power drivetrain modelling and the analysis of wind and other renewable energy systems.
  • Power take-off optimization of offshore/onshore wind and other renewable energy systems.
  • Novel power electronic converter designs for renewable energy systems.
  • Control techniques for improving energy capture and system reliability.
  • Machine learning technology for wind and other renewable energy systems.
  • Control co-design of new-generation offshore wind turbines and other offshore renewable energy systems.
  • Multi-disciplinary modelling for the entire operational process of renewable energy systems.
  • Power conditioning and grid integration strategies for offshore energy systems.
  • Optimization of energy conversion efficiency of renewable energy systems under variable offshore conditions.
  • Integration of energy storage with renewable systems.
  • Experimental validation and case studies of advanced converter applications.

This Special Issue invites contributions from researchers, industry professionals, and policymakers to advance the development of resilient, efficient, and scalable power converters that can unlock the full potential of marine renewable energy systems.

Prof. Dr. Yihan Xing
Dr. Chao Ren
Dr. Jian Tan
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. 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

  • renewable energy system
  • power converters
  • power take-off
  • control and strategy
  • energy storage

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

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Research

31 pages, 24804 KiB  
Article
Manoeuvring Surface Target Tracking in the Presence of Glint Noise Using the Robust Cubature Kalman Filter Based on the Current Statistical Model
by Yunhua Guo, Tianzhi Yu, Jian Tan, Junmin Mou and Bin Wang
Electronics 2025, 14(10), 1973; https://doi.org/10.3390/electronics14101973 - 12 May 2025
Viewed by 241
Abstract
For manoeuvring surface target tracking in the presence of glint noise, Huber-based Kalman filters have been widely regarded as effective. However, when the proportion of outlier measurements is high, their numerical stability and estimation accuracy can deteriorate significantly. To address this issue, we [...] Read more.
For manoeuvring surface target tracking in the presence of glint noise, Huber-based Kalman filters have been widely regarded as effective. However, when the proportion of outlier measurements is high, their numerical stability and estimation accuracy can deteriorate significantly. To address this issue, we propose a Robust Cubature Kalman Filter with the Current Statistical (RCKF_CS) model. Inspired by the Huber equivalent weight function, an adaptive factor incorporating a penalty strategy based on a smoothing approximation function is introduced to suppress the adverse effects of glint noise. The proposed method is then integrated into the Cubature Kalman Filter framework combined with the Current Statistical model. Unlike conventional Huber-based approaches, which process measurement residuals independently in each dimension, the proposed method evaluates the residuals jointly to improve robustness. Numerical stability analysis and extensive simulation experiments confirm that the proposed RCKF_CS achieves improved numerical robustness and filtering performance, even under strong glint noise conditions. Compared with existing Huber-based filters, the proposed method enhances filtering performance by 2.66% to 10.18% in manoeuvring surface target tracking tasks affected by glint noise. Full article
(This article belongs to the Special Issue Wind and Renewable Energy Generation and Integration)
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