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Intelligent Control for Electrical Power and Energy System

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".

Deadline for manuscript submissions: 5 September 2025 | Viewed by 308

Special Issue Editors


E-Mail Website
Guest Editor
College of Engineering, A’Sharqiyah University, Ibra 400, Oman
Interests: electrical power; energy system; renewable energy; optimization; swarm intelligence; microgrid controls

E-Mail Website
Guest Editor
College of Engineering, A’Sharqiyah University, Ibra 400, Oman
Interests: electrical power; energy system; renewable energy; optimization; swarm intelligence; microgrid controls

E-Mail Website
Guest Editor
College of Engineering, Dhofar University, Salala 211, Oman
Interests: renewable energy systems; power electronics; power systems; energy policy

Special Issue Information

Dear Colleagues,

Renewable energy sources are critical for sustainable development and climate change mitigation. Solar energy and wind energy play pivotal roles in this transition. According to recent statistics, global wind and solar capacity has experienced unprecedented growth, with the number of installations increasing in recent years. Despite this expansion, significant challenges remain in terms of achieving the cost-effective, large-scale implementation of solar and wind technologies.

Key research areas include the enhancement of PV/wind system efficiency and durability, as well as integration with existing power grids. Addressing these challenges is essential for maximizing the potential of solar/wind energy and ensuring these types’ viability as a primary energy source.

This Special Issue titled, “Intelligent Control for Electrical Power and Energy System”, will publish high-quality research papers focusing on recent advancements and innovations in electrical power and energy technologies. We invite contributions that address the technical, economic, and environmental aspects of electrical power and energy systems. Topics of interest include, but are not limited to, the following:

  • Innovative photovoltaic and wind energy systems;
  • Artificial intelligence and application to PV and wind energy;
  • Innovative storage systems;
  • PV/wind system integration and frid compatibility;
  • Degradation of PV modules and wind plants components;
  • Performance optimization and monitoring of PV/wind energy;
  • Future trends and innovations;
  • Optimization, swarm intelligence, and microgrid controls.

We encourage researchers, engineers, and industry professionals to submit their original research articles, reviews, and case studies to this Special Issue. Your contributions will help to drive innovation, foster collaboration, and promote the widespread adoption of wind and photovoltaic systems.

We look forward to receiving your submissions.

Dr. Mazhar Hussain Baloch
Dr. Touqeer Ahmed Jumani
Dr. Sohaib Tahir Chauhdary
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. 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.

Keywords

  • solar energy
  • PV technologies
  • durability and degradation
  • smart grid
  • microgrid
  • PV performance
  • electrical mobility
  • artificial Intelligence and application to PV and wind energy
  • power grid integration with renewable sources
  • optimization, swarm intelligence, and microgrid controls

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Published Papers (1 paper)

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Research

18 pages, 8126 KiB  
Article
Strengthening Low-Voltage Ride Through Competency of Doubly Fed Induction Generator Driven by Wind Turbine Using Super-Twisting Sliding Mode Control
by Ashraf K. Abdelaal and Mohamed A. El-Hameed
Energies 2025, 18(8), 1954; https://doi.org/10.3390/en18081954 - 11 Apr 2025
Viewed by 176
Abstract
Power network codes necessitate that any renewable source aligns with LVRT rules and assists in voltage restoration during voltage dips. This paper focuses on increasing the low-voltage ride through capability of a doubly fed induction generator-based wind turbine. Three different controllers are discussed [...] Read more.
Power network codes necessitate that any renewable source aligns with LVRT rules and assists in voltage restoration during voltage dips. This paper focuses on increasing the low-voltage ride through capability of a doubly fed induction generator-based wind turbine. Three different controllers are discussed in this article. The first is based on robust super-twisting sliding mode control, which is a recent robust control technique. The second uses a new metaheuristic optimizer called the Arctic Puffin optimizer (APO), and the third relies on the traditional PI controller. The grid-side converter sustains the potential of the DC converter link and the regulation of both the active and reactive power supplied to the power grid via three controllers. The rotor-side converter regulates the generator’s electromagnetic torque via two controllers. Doubly fed induction generator control is a challenging task as the two converters have five controllers, and it is vital to specify the ideal parameters for each controller. In the case of super-twisting sliding mode control, the APO is utilized to obtain the sliding surfaces needed for the five controllers. Moreover, the APO is exploited to obtain the optimal constants of the suggested PI regulators. The simulation results prove the excellent performance of both super-twisting- and APO-based controllers, with better performance demonstrated with super-twisting sliding mode control, which demonstrates excellent transient performance with the least overshoot among the three controllers. The super-twisting-based controller has a distinct feature, as it has good performance with parameter variations. Full article
(This article belongs to the Special Issue Intelligent Control for Electrical Power and Energy System)
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