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Energy Systems Engineering: Renewable Energy, Vehicle Electrification, and Resilience

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

Deadline for manuscript submissions: 30 March 2027 | Viewed by 945

Editors


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Guest Editor
1. Department of Electromechanical Engineering, University of Beira Interior, Covilhã, Portugal
2. IT, Instituto de Telecomunicações, Covilhã, Portugal
Interests: power systems optimization and control; energy conversion systems; renewable energy and energy harvesting; industrial automation; electric road vehicles
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
1. Department of Electromechanical Engineering, University of Beira Interior, Covilhã, Portugal
2. IT—Instituto de Telecomunicações, Covilhã, Portugal
Interests: power systems optimization and control; energy conversion systems; renewable energy
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
1. Department of Electromechanical Engineering, University of Beira Interior, Covilhã, Portugal
2. IT—Instituto de Telecomunicações, Covilhã, Portugal
Interests: power systems; forecasting; intelligence algorithms

Special Issue Information

Dear Colleagues,

Renewable energy sources are fundamental to the transition toward a carbon-neutral economy. Research into solar photovoltaics, wind energy, and hydropower aims to enhance performance, minimize environmental effects, advance new technologies, and ensure these sources’ effective integration into electrical energy infrastructures, with advancements in the field being vital for meeting global sustainability targets and addressing climate change. In this context, vehicle electrification plays a complementary role by reducing transportation sector emissions and increasing clean energy use. At the same time, strengthening energy system resilience is crucial in enabling them to adapt to climate change and extreme events. Together, renewable energy, vehicle electrification, and enhanced resilience form a strategic pathway toward a sustainable and low-carbon economy.

We invite contributions addressing renewable energy, vehicle electrification, and resilience, examining their combined impact on the transformation of the energy and mobility sectors toward a zero-emission economy. Authors may explore technological innovations in renewable generation and electric mobility, their economic and operational implications for the energy industry, and strategies to strengthen system resilience in the face of climate change and emerging challenges.

Topics of interest also include the assessment of policies and initiatives aimed at reducing greenhouse gas emissions, the integration of electrified transport with renewable-based power systems, and adaptive approaches enhancing the reliability and sustainability of energy infrastructures. Authors are encouraged to share research findings, practical experiences, and critical reflections on how renewable energy, vehicle electrification, and resilient systems contribute to sustainable business models and global environmental objectives.

Dr. Maria do Rosário Alves Calado
Prof. Dr. Silvio Mariano
Dr. Pedro M. R. Bento
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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized 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

  • renewable energy
  • power systems optimization and control
  • energy harvesting
  • electric road vehicles
  • storage systems
  • forecasting
  • flexibility
  • decentralized infrastructures
  • energy mix

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Published Papers (1 paper)

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Review

22 pages, 1281 KB  
Review
A Review of Particle Swarm Optimization Control Parameters for Maximum Power Point Tracking Under Different Conditions
by Bianca Magalhães, José Pombo, Willians Mendes, Maria Calado, Sílvio Mariano and Miguel Louro
Sustainability 2026, 18(11), 5442; https://doi.org/10.3390/su18115442 - 28 May 2026
Cited by 1 | Viewed by 450
Abstract
The increasing importance of photovoltaic (PV) systems in the context of the energy transition, together with the need to improve their efficiency, has driven the adoption and development of intelligent and advanced maximum power point tracking (MPPT) techniques. Among these approaches, the Particle [...] Read more.
The increasing importance of photovoltaic (PV) systems in the context of the energy transition, together with the need to improve their efficiency, has driven the adoption and development of intelligent and advanced maximum power point tracking (MPPT) techniques. Among these approaches, the Particle Swarm Optimization (PSO) algorithm stands out due to its simplicity, ease of implementation, low number of control parameters, robustness, and fast convergence capability, making it widely applied in modern MPPT systems. However, the performance of PSO in MPPT applications depends on the appropriate selection of both algorithm control parameters and implementation/configurations parameters. The control parameters include the cognitive (C1) and social (C2) learning factors, as well as the inertia factor (w), which directly influence swarm dynamics and the balance between exploration and exploitation mechanisms, that is, between global and local search. On the other hand, configuration parameters such as the number of particles and the initialization strategy affect the initial population diversity, the convergence speed toward the maximum power point, and the computational cost of the algorithm, defining the trade-off between speed and accuracy. Despite the extensive research in this field, there is still no clear consensus regarding the most suitable PSO parameter configuration for MPPT applications. This paper presents a statistical analysis of PSO parameter selection in MPPT applications, identifying the most frequently adopted parameter configurations and trends reported in the literature. The findings provide useful guidelines for researchers to select the PSO parameters according to different operating conditions, particularly under partial shading and irradiance variations. From a sustainability perspective, improving MPPT performance contributes to maximizing PV energy harvesting, reducing energy losses, and enhancing the reliability of PV systems, thereby supporting the transition toward more sustainable energy generation. Full article
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