Renewable Energy Conversion and Sustainable Power Systems Engineering

Dear Colleagues,

Renewable energy conversion is becoming increasingly important in modern power systems, offering a sustainable and cost-effective solution for distributed generation and self-consumption. As the share of renewables in the global energy mix continues to rise, Hybrid Renewable Energy Systems (HRESs) present a practical approach to balancing supply and demand, reducing transmission and distribution losses, and enhancing grid stability. This Special Issue aims to advance the field of HRESs by soliciting original, innovative research focused on improving the sustainability, efficiency, reliability, flexibility, and profitability of these systems.

We invite researchers working on such technologies to contribute articles on the following topics:

• Algorithms applied to HRESs (e.g., Artificial Neural Networks (ANNs), Fuzzy Logic, Genetic Algorithms (GAs), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Dynamic Programming, Support Vector Machines (SVMs), Nature-Inspired Algorithms (Bio-inspired), Metaheuristic Algorithms, Deep Learning (DL));
• Sustainable power generation from renewable sources (e.g., solar PV, wind, biomass, hydropower, etc.);
• Energy storage systems (e.g., lead–acid and lithium-ion batteries);
• Energy management strategies (EMSs);
• Power electronics for HRESs;
• HRES system design;
• Off-grid and grid-connected HRES solutions;
• Economic analysis of HRESs;
• Energy prosumers and their role in HRESs;
• Demand response in HRESs;
• HRES applications in developing countries.

An environmental and economic analysis is critical for evaluating alternatives and selecting optimal solutions. By integrating various HRES components, we can achieve sustainable, efficient, and reliable energy systems that contribute to a greener, more sustainable future.

Prof. Dr. Carlos Vargas-Salgado
Dr. Jesus Aguila-Leon
Guest Editors

Manuscript Submission Information

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