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Power Electronics, Renewable Energy and Advanced Energy Management Systems
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Power Electronics, Renewable Energy and Advanced Energy Management Systems

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

Deadline for manuscript submissions: 31 December 2026 | Viewed by 2353

Editors

Dr. Francisco Javier Ruiz-Rodríguez

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Guest Editor
Department of Electrical and Thermal Engineering. Higher Technical School of Engineering, University of Huelva, Avda. Fuerzas Armadas, s/n, 21007 Huelva, Spain
Interests: power system analysis; renewable energy; distributed generation; power quality; power electronics; electric vehicles
Special Issues, Collections and Topics in MDPI journals
Dr. Jesús Clavijo Camacho

E-Mail
Guest Editor
Department of Electrical and Thermal Engineering, Higher Technical School of Engineering, University of Huelva, Avda, Fuerzas Armadas, s/n, 21007 Huelva, Spain
Interests: distribution system analysis; renewable energy; distributed generation; microgrid; demand flexibility
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Today, the world is advancing towards creating a model of a sustainable global energy system to try to stop climate change. In this sense, the generation of electricity and the transport sector play an important role. The energy transition towards an electricity generation model based on renewable energies and the progressive implementation of electric vehicles are necessary.

Power electronics refers to the application of electronic devices to control and transform electrical energy. This technology is essential for the operation of renewable energy systems, as well as the charging of electric vehicles. In addition, the development of intelligent control and energy management strategies allows for the coordination of generation and flexible demand, improving the efficiency and stability of modern power systems.

Its use is expanding rapidly in the quest to reduce dependence on fossil fuels and move towards a cleaner, more sustainable future.

The topics to be addressed in the Special Issue include, but are not limited to, the following:

  • Power electronics in renewable energy sources.
  • Power flow control and optimization.
  • Electrical energy efficiency in industry, buildings, transmission and distribution, etc.
  • Modeling, simulation, and control of power electronic converters.
  • Analysis of the uncertainty generated by renewable sources and electric vehicles.
  • High/Medium-voltage DC systems.
  • Grid planning with large-scale renewable energy resources.
  • Renewable energy conversion systems: design, modelling, control, and integration into modern power systems.
  • Power and energy quality in electric systems with renewable energy resources.
  • Power electronics and control in microgrids.
  • Integration of flexible and controllable demand resources in modern power systems.
  • Advanced energy management strategies for grid-interactive buildings and distributed energy resources.

Dr. Francisco Javier Ruiz-Rodríguez
Dr. Jesús Clavijo Camacho
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. 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

  • voltage control
  • microgrid and smart grid
  • renewable energy sources
  • electric vehicles
  • photovoltaics
  • wind power
  • optimization
  • power electronics
  • power quality
  • electric systems
  • uncertainly
  • MVDC system
  • energy efficiency
  • flexible demand integration
  • energy management systems

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

Published Papers (3 papers)

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Research

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11 pages, 2092 KB  
Article
50 kVA Three-Phase Variable-Speed Diesel Cogenerator: A Practical Case
by Juan José Calero, Juan Vicente Míguez and José Carpio
Electronics 2026, 15(11), 2353; https://doi.org/10.3390/electronics15112353 - 29 May 2026
Viewed by 657
Abstract
This paper presents a case study demonstrating the operation of a 50 kVA three-phase variable-speed diesel generator at a Spanish Antarctic research base, located in an area of special ecological and environmental value, under conditions of extreme humidity and temperature. It verifies the [...] Read more.
This paper presents a case study demonstrating the operation of a 50 kVA three-phase variable-speed diesel generator at a Spanish Antarctic research base, located in an area of special ecological and environmental value, under conditions of extreme humidity and temperature. It verifies the fuel savings achieved through the use of variable-speed technology compared to standard, constant-speed generators. Furthermore, given that the price of fuel is significantly higher due to the high cost and complexity of transporting it to the base, the fuel savings at the base represent a huge logistical advantage, quite apart, of course, from the environmental benefits of such savings. A key feature of the equipment presented is that it has a system for recovering waste heat from the combustion engine, which, when integrated into the base’s hot water system, is used to increase the domestic hot water capacity, adding value to the machine whilst also delivering fuel savings. Full article
(This article belongs to the Special Issue Power Electronics, Renewable Energy and Advanced Energy Management Systems)
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28 pages, 1421 KB  
Article
Multi-Time-Scale Coordinated Optimization Scheduling Strategy for Wind–Solar–Hydrogen–Ammonia Systems
by Ziyun Xie, Yanfang Fan, Junjie Hou and Xueyan Bai
Electronics 2026, 15(4), 795; https://doi.org/10.3390/electronics15040795 - 12 Feb 2026
Cited by 2 | Viewed by 1146
Abstract
To address the inherent mismatch between the fluctuating power output of renewable energy and the continuous production requirements of ammonia in off-grid wind–solar–hydrogen–ammonia systems, this paper proposes a “day-ahead–intraday–real-time” multi-time-scale coordinated optimization scheduling strategy. In the day-ahead layer, Wasserstein Distributionally Robust Optimization (WDRO) [...] Read more.
To address the inherent mismatch between the fluctuating power output of renewable energy and the continuous production requirements of ammonia in off-grid wind–solar–hydrogen–ammonia systems, this paper proposes a “day-ahead–intraday–real-time” multi-time-scale coordinated optimization scheduling strategy. In the day-ahead layer, Wasserstein Distributionally Robust Optimization (WDRO) is employed to determine a conservative and stable baseline plan for ammonia load under high uncertainty of wind and solar output. The intraday layer utilizes Model Predictive Control (MPC) with a 2-h prediction horizon and 15-min rolling steps to correct short-term forecast deviations. The real-time layer achieves minute-level power balancing through priority dispatch and deadband control. Furthermore, hydrogen storage tanks serve as a material buffer between hydrogen production and ammonia synthesis, with their state variables transmitting across layers to achieve flexible multi-time-scale coupling. Simulation results demonstrate that, although this strategy slightly reduces the theoretical maximum ammonia yield, it completely avoids load-shedding risks. Compared with the deterministic scheduling (Scheme 1), which suffers a net loss due to severe penalty costs, the proposed strategy achieves a positive daily profit of CNY 277,700, representing an absolute increase of CNY 429,300. Furthermore, it provides an additional daily profit of CNY 65,800 compared to the stochastic optimization approach (Scheme 2), demonstrating superior economic robustness in off-grid environments. Full article
(This article belongs to the Special Issue Power Electronics, Renewable Energy and Advanced Energy Management Systems)
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Review

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40 pages, 2864 KB  
Review
AI-Enabled Power Electronics, Electrical Machines, and Energy Management Systems for High-Efficiency Sustainable Energy Conversion
by Ioana-Cornelia Gros, Dan-Cristian Popa, Emilia Valasutean, Sebastian-Ioan Cotor and Loránd Szabó
Electronics 2026, 15(16), 3672; https://doi.org/10.3390/electronics15163672 - 17 Aug 2026
Abstract
AI is becoming a key enabler of high-efficiency and sustainable energy conversion in power converters, electrical machines, electric drives, renewable-energy interfaces, and advanced energy-management systems. This critical review examines how machine learning, deep learning, reinforcement learning, physics-informed models, digital twins, and optimization algorithms [...] Read more.
AI is becoming a key enabler of high-efficiency and sustainable energy conversion in power converters, electrical machines, electric drives, renewable-energy interfaces, and advanced energy-management systems. This critical review examines how machine learning, deep learning, reinforcement learning, physics-informed models, digital twins, and optimization algorithms enhance the design, control, monitoring, and operation of modern electromechanical energy-conversion systems. The paper outlines the main AI methods relevant to power electronics and electrical machines, distinguishing between data-driven, model-assisted, and hybrid approaches. It summarizes AI applications in power converter design, modulation, fault diagnosis, thermal management, wide-bandgap semiconductor operation, grid-connected renewable energy converters, and electric vehicle thermal and energy management, range characterization, and charging. A dedicated section covers electrical machines and drives, including AI-assisted electromagnetic and thermal design, condition monitoring, sensorless control, efficiency-map optimization, and predictive maintenance. To distinguish the scale of the claimed engineering outcome from the maturity of the supporting evidence, the review introduces an E1–E4 engineering outcome scale together with the AI Energy-Conversion Evidence Maturity (AI-ECEM) M1–M5 scale, a minimum reporting bundle, a net-benefit accounting framework, and a deployment roadmap. The synthesis indicates that surrogate-assisted design and diagnostic classification are comparatively mature, whereas autonomous real-time control and lifecycle deployment require stronger hardware, robustness, cybersecurity, and field evidence. Full article
(This article belongs to the Special Issue Power Electronics, Renewable Energy and Advanced Energy Management Systems)
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