Advanced Renewable Energy Systems to Power the Future: Green and Sustainable

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

Deadline for manuscript submissions: 15 September 2025 | Viewed by 1230

Special Issue Editor


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Guest Editor
Department of Electrical Engineering, University of Las Palmas de Gran Canaria, Campus de Tafira S/N, 35017 Las Palmas de Gran Canaria, Spain
Interests: water–energy nexus; energy efficiency; microgrids
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Special Issue Information

Dear Colleagues,

In an era marked by rising environmental awareness and the urgent need to address climate change, the pursuit of sustainable development has taken center stage on the international agenda. One of the most promising avenues in this endeavor is the ongoing development of renewable energy sources. This multidisciplinary field comprises a wide range of advancements, including cutting-edge solar panels and wind turbines, unique biofuel production technologies, and improved energy storage options. Overall, these advancements have the potential to transform not only how we create and consume energy, but also how we mitigate the far-reaching environmental consequences of existing fossil fuel-based systems.

Solar energy, for example, has grown dramatically due to advances in solar-based energy conversion technology. These advancements have made solar power a feasible choice in areas with varied sunlight intensity, allowing for widespread global use. Similarly, wind power technology has advanced significantly in recent years. Bioenergy, another type of renewable energy, has made great progress with the development of improved biofuel production systems.

The integration of smart grid technology and sophisticated energy storage systems is another area where great progress is being achieved. These advancements improve the reliability and stability of RES, eliminating the intermittency issue and allowing for smooth integration into existing energy systems. Furthermore, as renewable energy systems grow more decentralized, peer-to-peer energy trading and local energy markets are gaining popularity, encouraging community involvement and lowering the dependency on centralized power grids.

As we delve deeper into the topic of improvements in renewable energy for sustainable development, it becomes clear that a combination of technology, policy, and market factors is moving mankind toward a more resilient and ecologically conscious energy future. However, problems remain, such as legal barriers, integration complexities, and the need for ongoing research to improve existing technology and explore new possibilities. This exploration will weave through the complicated fabric of renewable energy innovation, shedding light on creative solutions that hold the promise of a cleaner, more sustainable future for generations to come. This Special Issue aims to collect some of the most original insights from the fields of RES, renewable energy (RE) technology, and RE systems.

Dr. Enrique Rosales Asensio
Guest Editor

Manuscript Submission Information

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Keywords

  • systems analyses
  • hydrogen integration
  • solar systems
  • bioenergy
  • wind power

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Published Papers (1 paper)

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Research

21 pages, 685 KiB  
Article
Research on Microgrid Optimal Scheduling Based on an Improved Honey Badger Algorithm
by Zheng Wang, Zhenhai Dou, Yuchen Liu, Jiaming Guo, Jingwei Zhao and Wenliang Yin
Electronics 2024, 13(22), 4491; https://doi.org/10.3390/electronics13224491 - 15 Nov 2024
Cited by 1 | Viewed by 802
Abstract
As global energy demands continue to grow and environmental protection pressures increase, microgrids have garnered widespread attention due to their ability to effectively integrate distributed energy sources, improve energy utilization efficiency, and enhance grid stability. Due to the complexity of internal structure, variety [...] Read more.
As global energy demands continue to grow and environmental protection pressures increase, microgrids have garnered widespread attention due to their ability to effectively integrate distributed energy sources, improve energy utilization efficiency, and enhance grid stability. Due to the complexity of internal structure, variety of energy sources, and uncertainty of load demand, the optimal scheduling problem of microgrids becomes extremely complicated. Traditional optimization methods often perform poorly in complex and dynamic microgrid environments, and it is assumed that the complexity is low or that more simplification is needed, which leads to poor convergence and local optimality when dealing with uncertainty and nonlinear problems, making intelligent optimization algorithms a crucial solution to this problem. To address the shortcomings of the traditional honey badger algorithm, such as the slow convergence speed and a tendency to fall into local optima in complex microgrid optimal scheduling problems, this paper proposes a multi-strategy improved honey badger algorithm. During the population initialization phase, a combined opposition-based learning strategy is introduced to enhance the algorithm’s exploration and exploitation capabilities. Additionally, the introduction of variable spiral factors and a linearly decreasing strategy for parameters improves the overall efficiency of the algorithm and reduces the risk of local optima. To further enhance population diversity, a hunger search strategy is employed, providing stronger adaptability and global search capabilities in varying environments. The improved honey badger algorithm is then applied to solve the multi-objective optimal scheduling problem in grid-connected microgrid modes. The simulation results indicate that the improved honey badger algorithm effectively enhances the economic and environmental benefits of microgrid operations, improving system operational stability. Full article
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